开放式协作内容生产活动的可信评估研究
|
摘要
基于Wiki的开放式协作内容生产方式和开放式协作社区在新一代网络中日益盛行,开放式协作内容不仅在社会化媒体受到欢迎,更引起学术研究领域的极大关注。以维基百科为代表的非软件类开放式协作内容是近年来信息系统与信息科学领域的研究热点,有关开放百科质量和可信度的争论一直不断。传统维基系统虽然支持协同创作,但不关注个体贡献,并且缺乏显性的可信评估和信任管理机制。用户的多样性和内容的快速更新,使得开放式协作内容生产活动的可信评估问题变得异常复杂。
本文所指开放式协作内容生产活动是指在社会化媒体以及大规模协作发展背景下,虚拟社群为共同完成一项开放共享的内容生产项目而实施的一系列信息行为。协作活动的产出即为开放内容,它一般遵循自由文档许可协议,允许任何内容贡献者对作品的修改、演绎和传播,本文研究对象将在以上开放式协作内容生产和开放内容的范畴下,针对事实型作品,尤指建立在外部参考源基础上的文本型协作内容,譬如维基百科、百度百科等开放百科项目。
本文将围绕以下研究问题展开：①开放式协作内容生产活动的内在机理是如何的?②如何评估协作成员及其协作内容的可信度?具体而言,如何对协作社群成员进行可信度评估,什么因素影响用户对开放式协作内容的可信度感知,这些因素如何作用于用户的可信度感知?③如何改善用户可信评估活动的效果?
本研究拟从当前开放式协作内容生产活动中突出的成员及内容可信度问题出发,以开放式协作内容生产活动及其产出内容为主要研究对象,以面向开放式协作的主体与客体可信度评估为主要研究内容,分别从内容生产视角和内容消费视角,融合信任研究的技术范式与用户研究的行为范式,系统深入地研究开放式协作内容生产活动的可信评估理论与方法。论文主体共分四个部分：
(1)理论分析框架：开放式协作内容生产活动研究。采用活动理论的研究框架和分析方法构建互联网用户协作内容生产的活动系统模型,并逐步分析其活动要素、子系统以及活动结构；定义并描述主体、客体、社群三个核心要素和工具、规则、角色三个媒介要素以及生产、消费、协作和交流四个子系统；将活动过程分解为消费、生产、反馈与协作、冲突与协调四个阶段并深入分析各阶段的结构特点：同时基于动态流程分析,描述社群结构中用户的角色分化现象。
(2)内容生产视角：面向协作活动主体的可信评估研究。深入分析面向开放内容协作生产的虚拟社群信任关系及其构建途径,在现有网络信任相关概念研究基础上,给出普适性定义并归纳网络信任属性。以维基社区为个案分析对象,探讨其有效的可信评估和信任管理模式。研究并设计一种基于修订史的间接反馈信息抽取算法,基于该算法进一步演绎主体可信评估的计算模型,同时将该算法流程和模型用Java开发工具编程实现。以维基百科为实证数据源,分析算法和模型的意义。
(3)内容消费视角：面向协作活动客体的可信评估研究。采用调查法探寻影响用户可信度评估的主要因素,以及不同协作参与度的用户群之间评估意识和行为的差异。通过对两组受试者的调研数据分析,得出相关结论并提出研究假设,以及构建开放内容可信度的实证模型。设计并实施针对实证模型的实验研究,通过对实验资料的处理操纵和自变量控制,观测因变量以检验假设。分析实验结果以及对今后研究与实践的启示。
(4)内容生产与消费的双重视角：可信评估活动效果的改善研究。本章将在前文研究基础之上,进一步把协作活动主体与客体可信评估理论与方法的成果应用于可信评估活动效果的改善研究。首先基于双加工理论对用户可信评估活动过程进行分析,然后从用户查证行为的激励、技术系统的交互式设计两个方面,细致深入的研究如何改善用户可信评估活动的效果,增强用户在开放式协作社区的信任体验,以进一步提高开放式协作内容生产活动的可信度。
主要研究结论有：
(1)研究认为活动理论的分析框架能够对现有群体协作活动研究进行整合,并为今后的研究提供统一的描述性框架和概念模型。开放式协作活动系统模型中包含六个要素和四个子系统：协作活动过程包含四个阶段,其中反馈与协作是群体协作活动的灵魂。
(2)面向协作活动主体的可信评估研究有助于从内容生产的源头提高协作活动及其产出内容的可信度。大规模开放式协作成员的可信度评估应当建立在基于内容驱动和¨间接反馈的可信评估模式上。本文给出了维基系统中协作成员可信度评估的理论演绎方法,构建了基于内容片断演化链的反馈信息抽取算法,流程设计与实现表明了该算法的可行性。
(3)用户参与协作的程度会显著影响其可信评估意识和行为,协作参与度高的用户评估意识强,且所用方法和技巧较高。同时用户对开放内容可信度的评估会受到内容线索和信任倾向的显著影响,内容线索包括协作程度、协作者声誉、参考源质量。理论上以及用户调查结果表明,查证行为对用户的可信评估效果有重要影响,然而实际并非如此。
(4)通过改善用户可信评估活动的效果,可以进一步提高协作活动及其产出内容的可信度。而改善途径有用户查证行为的激励以及技术系统的交互式设计。用户查证行为主要受到评估动机的影响,因而需要有激励查证行为的机制：此外,通过技术系统的交互式设计也能改善用户信任体验,进而提高协作内容的可信度。
主要贡献和创新点有：
(1)提出了适用于大规模开放式协作的社群成员可信度评估的理论演绎方法,并完整构建了开放式协作生产内容的可信度评估模型。本研究从内容生产与内容消费双重视角,系统深入地探究了开放式协作内容生产活动的可信评估理论与方法。基于内容生产视角,提出基于间接反馈的社群成员可信度评估模式,给出一种适用于文本型协作内容的间接反馈信息抽取算法,并据此提出成员可信度的计算模型和主体间信任关系的演绎方法;基于内容消费视角,运用问卷调查、内容分析、实验研究和访谈等多种方法,提出并f构建了开放内容的可信度评估模型,给出影响用户对开放内容可信度评估的主要因素,并提出改善用户可信评估活动效果从而提高开放内容可信度的途径。
(2)将活动理论引入开放式协作内容生产行为的系统研究,揭示了社群协作活动的内在结构和演化过程。本文依托活动理论建立社群协作活动的一般性理论分析框架,构建了开放式协作内容生产的活动系统模型,分析了该协作活动系统的要素、子系统和活动结构,并基于活动流程分析了用户角色分化现象。
本文的不足之处有：(1)本文给出了协作成员可信度评估的理论演绎方法,今后将进一步开展实证研究。(2)本文对内容可信度的实验研究限于调查对象的局限性,对其结果解释仅适用于协作参与度较低的普通网络用户。今后的研究方向将会进一步扩大实验对象,以便对实证模型做出更好的解释和完善。(3)本文仅给出了可信评估系统构建的设计思想,今后需要针对不同类型和形式的协作社区,深入研究具体的构建方法。
本研究为本人主持的教育部人文社科青年基金项目“而向虚拟社群协同创作现内容共享的信任管理机制研究”(10YJC870048)的重要组成部分,是课题研究的核心内容之一。
As wiki-based mass collaborative creation and open collaborative communities have been popularized in the new generation of Web, open content is not only widely welcomed in social media, but also attracts attention of the academic communities. Open content for non-software such as Wikipedia is the hot research field in the domain of information system and information science in recent years, yet the debate about its content quality and credibility has never stopped. Traditional wiki-based systems support open collaboration, but don't focus on individual contribution and lack of obvious mechanism of credibility assessment and trust management. Variety of users and quick update of content make the problem of credibility in open collaboration fairly complicated.
Activities of open collaborative content creation in this dissertation are referred to a new type of collaborative information behavior of users and way of content production. Meanwhile, open content in the dissertation focuses on open collaboration conforming to free documentation license, allowing revision, derivation and distribution of works by any contributors. Our research object will focus on factual works especially for textile collaborative content based on external references, such as open encyclopedia projects like Wikipedia and Baidu.
After reviewing present studies, we put forward the following research problems. Firstly, how are the mechanisms in activities of collaborative content creation and collaborative communities? Secondly, how to improve information quality and credibility of open content from both production and consumption perspectives? Thirdly, how to improve the efficiency of assessment activities of open content credibility?
Our research starts from the outstanding problems of trust and credibility in the process of open collaborative content creation, aims at the activity system of open collaborative content creation as main study object and focuses on its credibility as main study content. Meanwhile the study systematically and deeply explores the credibility problems of open collaborative content creation. Four parts constitute the dissertation:
(1) Framework of theoretic analysis:research on activity system of open collaborative content creation. We use the research framework and analyzing method of activity theory to construct the activity model and analyze its components, subsystems and activity structure; Define and describe three core components such as subject, object and community, three mediators of tools, rules and roles, and four subsystems of creation, consumption, collaboration and communication; Decompose activity process into four stages of consumption, creation, feedback and collaboration, conflicts and coordination, then go into structure characters of each stage; Describe the users' role differentiation phenomenon in evolving process of community.
(2) Perspective of content creation:subject-oriented research on trust evaluation. We explore effective models of trust assessment and management; Parse trust relationship of virtual community and construction of modes from the perspective of content creation; Put forward an extensive definition of trust and induce properties of network trust; Study and devise an extraction method of indirect feedback information based on the revision history, further deduce computation models of subject trust assessment, meanwhile implement the arithmetic process and model using Java development tool; Analyze the significance of the method based on the output results of the program.
(3) Perspective of content consumption:object-oriented research on credibility assessment. We use survey method to explore the main influence factors of credibility assessment and the difference of assessment awareness and behavior in groups differing in the degree of collaboration and participation; Conclude from analyzing survey results of two groups and put forward research hypotheses, then construct positive model of open content credibility; Devise and implement experimental study to test hypotheses; Analyze the results and provide indication of future study and practice.
(4) Perspective of both content creation and consumption:improvement research on the effectiveness of content credibility assessment activities. From three aspects of assessment process, inspiration of verification behavior, and interactive design of technology system based on user trust experience, the study goes into the way of improving effectiveness of credibility assessment, in order to enhance users trust experience in open collaborative communities and further improve the content credibility and sustainable development of open collaborative communities.
Main research conclusions as follows:
(1) We argue that the analyzing framework of activity theory can integrate present studies of mass collaboration and provide unifying descriptive framework and conceptual modes. Activity system model includes six components and four subsystems; collaborative activity process includes four stages; feedback and collaboration is the soul of mass collaborative activity.
(2) From perspective of content creation, subject-oriented trust assessment studies help to improve the transparency of collaborative activity and credibility of collaborative content. Our studies construct arithmetic to extract indirect feedback information based on the evolving chain of content fragments, and argue that this arithmetic can be applied to the construction of trust assessment model between subjects and reputation evaluation in collaborative community.
(3) From perspective of content consumption, user attributes (trust tendency, verification behavior, degree of collaborative participation) and content clues (degree of collaboration, reputation of collaborative contributors, quality of references) are main influential factors of credibility assessment. As to assessment awareness, users of higher degree of collaborative participation are significantly stronger than of lower degree. As to assessment ability, users of lower degree of collaborative participation are inclined to dispersive and sensible assessment criterion, while users of higher degree are inclined to centralize and rationale assessment criterion. Most users agree that verification behavior and clue of reference impact credibility assessment. Information stimulus based on content clues significantly impact perceived credibility of users.
(4) From perspective of both creation and consumption, we argue that something must be done to improve the effectiveness of credibility assessment activity and enhance users trust experience in collaborative community in order to improve information quality and credibility of open content.
Main innovation as follows:
(1) The study starts from dual perspectives of content creation and consumption using amalgamation of technological paradigm in trust studies and behavioral paradigm in user studies, and systematically and deeply goes into the credibility problem of open collaborative activity. In technological paradigm, it put forward a new assessment scheme constructed on feedback and collaboration as well as new arithmetic of extracting indirect feedback information, based on which it put forward the measurement of users' contribution and deductive method of trust degree; In behavioral paradigm, it constructs credibility assessment model of open content using multiple methods such as survey, content analysis, experimental study and interview, then parse the indication and significance of the model.
(2) The study constructs a unifying theoretic framework for analyzing activities of open collaborative content creation. It regards collaborative communities as an activity system on activity theoretic basis and elaborates collaborative problems of open communities in the framework.
Insufficiencies as follows:(1) Some hypotheses in the open content credibility model need to be confirmed through further practice studies such as whether community genre, verification behavior, or degree of users' familiarity to content affects perceived credibility. Experimental study in this dissertation is confined to the survey objects and explanation of the results is limited to ordinary network users whose degree of participation is lower. Further studies will extend experimental objects in order to make the model more explicable and precise;(2) the study in this dissertation has not put forward any way to extract feedback information from discussion or vote in the situation of assessing trust degree between subjects of wiki-based communities. Moreover, method of extracting indirect feedback information from revision history also needs to be refined;(3) the dissertation put forward only guidelines to devise the interactive situation of communities. We are going to go into concrete constructing methods for different types and forms of collaborative communities.
This research is financially supported by Social Science Foundation of Education Ministry and one of the achievements of the foundation-supported project entitled "Trust management mechanism for collaborative creation and content sharing in virtual communities"(NO.10YJC870048).
本文所指开放式协作内容生产活动是指在社会化媒体以及大规模协作发展背景下,虚拟社群为共同完成一项开放共享的内容生产项目而实施的一系列信息行为。协作活动的产出即为开放内容,它一般遵循自由文档许可协议,允许任何内容贡献者对作品的修改、演绎和传播,本文研究对象将在以上开放式协作内容生产和开放内容的范畴下,针对事实型作品,尤指建立在外部参考源基础上的文本型协作内容,譬如维基百科、百度百科等开放百科项目。
本文将围绕以下研究问题展开：①开放式协作内容生产活动的内在机理是如何的?②如何评估协作成员及其协作内容的可信度?具体而言,如何对协作社群成员进行可信度评估,什么因素影响用户对开放式协作内容的可信度感知,这些因素如何作用于用户的可信度感知?③如何改善用户可信评估活动的效果?
本研究拟从当前开放式协作内容生产活动中突出的成员及内容可信度问题出发,以开放式协作内容生产活动及其产出内容为主要研究对象,以面向开放式协作的主体与客体可信度评估为主要研究内容,分别从内容生产视角和内容消费视角,融合信任研究的技术范式与用户研究的行为范式,系统深入地研究开放式协作内容生产活动的可信评估理论与方法。论文主体共分四个部分：
(1)理论分析框架：开放式协作内容生产活动研究。采用活动理论的研究框架和分析方法构建互联网用户协作内容生产的活动系统模型,并逐步分析其活动要素、子系统以及活动结构；定义并描述主体、客体、社群三个核心要素和工具、规则、角色三个媒介要素以及生产、消费、协作和交流四个子系统；将活动过程分解为消费、生产、反馈与协作、冲突与协调四个阶段并深入分析各阶段的结构特点：同时基于动态流程分析,描述社群结构中用户的角色分化现象。
(2)内容生产视角：面向协作活动主体的可信评估研究。深入分析面向开放内容协作生产的虚拟社群信任关系及其构建途径,在现有网络信任相关概念研究基础上,给出普适性定义并归纳网络信任属性。以维基社区为个案分析对象,探讨其有效的可信评估和信任管理模式。研究并设计一种基于修订史的间接反馈信息抽取算法,基于该算法进一步演绎主体可信评估的计算模型,同时将该算法流程和模型用Java开发工具编程实现。以维基百科为实证数据源,分析算法和模型的意义。
(3)内容消费视角：面向协作活动客体的可信评估研究。采用调查法探寻影响用户可信度评估的主要因素,以及不同协作参与度的用户群之间评估意识和行为的差异。通过对两组受试者的调研数据分析,得出相关结论并提出研究假设,以及构建开放内容可信度的实证模型。设计并实施针对实证模型的实验研究,通过对实验资料的处理操纵和自变量控制,观测因变量以检验假设。分析实验结果以及对今后研究与实践的启示。
(4)内容生产与消费的双重视角：可信评估活动效果的改善研究。本章将在前文研究基础之上,进一步把协作活动主体与客体可信评估理论与方法的成果应用于可信评估活动效果的改善研究。首先基于双加工理论对用户可信评估活动过程进行分析,然后从用户查证行为的激励、技术系统的交互式设计两个方面,细致深入的研究如何改善用户可信评估活动的效果,增强用户在开放式协作社区的信任体验,以进一步提高开放式协作内容生产活动的可信度。
主要研究结论有：
(1)研究认为活动理论的分析框架能够对现有群体协作活动研究进行整合,并为今后的研究提供统一的描述性框架和概念模型。开放式协作活动系统模型中包含六个要素和四个子系统：协作活动过程包含四个阶段,其中反馈与协作是群体协作活动的灵魂。
(2)面向协作活动主体的可信评估研究有助于从内容生产的源头提高协作活动及其产出内容的可信度。大规模开放式协作成员的可信度评估应当建立在基于内容驱动和¨间接反馈的可信评估模式上。本文给出了维基系统中协作成员可信度评估的理论演绎方法,构建了基于内容片断演化链的反馈信息抽取算法,流程设计与实现表明了该算法的可行性。
(3)用户参与协作的程度会显著影响其可信评估意识和行为,协作参与度高的用户评估意识强,且所用方法和技巧较高。同时用户对开放内容可信度的评估会受到内容线索和信任倾向的显著影响,内容线索包括协作程度、协作者声誉、参考源质量。理论上以及用户调查结果表明,查证行为对用户的可信评估效果有重要影响,然而实际并非如此。
(4)通过改善用户可信评估活动的效果,可以进一步提高协作活动及其产出内容的可信度。而改善途径有用户查证行为的激励以及技术系统的交互式设计。用户查证行为主要受到评估动机的影响,因而需要有激励查证行为的机制：此外,通过技术系统的交互式设计也能改善用户信任体验,进而提高协作内容的可信度。
主要贡献和创新点有：
(1)提出了适用于大规模开放式协作的社群成员可信度评估的理论演绎方法,并完整构建了开放式协作生产内容的可信度评估模型。本研究从内容生产与内容消费双重视角,系统深入地探究了开放式协作内容生产活动的可信评估理论与方法。基于内容生产视角,提出基于间接反馈的社群成员可信度评估模式,给出一种适用于文本型协作内容的间接反馈信息抽取算法,并据此提出成员可信度的计算模型和主体间信任关系的演绎方法;基于内容消费视角,运用问卷调查、内容分析、实验研究和访谈等多种方法,提出并f构建了开放内容的可信度评估模型,给出影响用户对开放内容可信度评估的主要因素,并提出改善用户可信评估活动效果从而提高开放内容可信度的途径。
(2)将活动理论引入开放式协作内容生产行为的系统研究,揭示了社群协作活动的内在结构和演化过程。本文依托活动理论建立社群协作活动的一般性理论分析框架,构建了开放式协作内容生产的活动系统模型,分析了该协作活动系统的要素、子系统和活动结构,并基于活动流程分析了用户角色分化现象。
本文的不足之处有：(1)本文给出了协作成员可信度评估的理论演绎方法,今后将进一步开展实证研究。(2)本文对内容可信度的实验研究限于调查对象的局限性,对其结果解释仅适用于协作参与度较低的普通网络用户。今后的研究方向将会进一步扩大实验对象,以便对实证模型做出更好的解释和完善。(3)本文仅给出了可信评估系统构建的设计思想,今后需要针对不同类型和形式的协作社区,深入研究具体的构建方法。
本研究为本人主持的教育部人文社科青年基金项目“而向虚拟社群协同创作现内容共享的信任管理机制研究”(10YJC870048)的重要组成部分,是课题研究的核心内容之一。
As wiki-based mass collaborative creation and open collaborative communities have been popularized in the new generation of Web, open content is not only widely welcomed in social media, but also attracts attention of the academic communities. Open content for non-software such as Wikipedia is the hot research field in the domain of information system and information science in recent years, yet the debate about its content quality and credibility has never stopped. Traditional wiki-based systems support open collaboration, but don't focus on individual contribution and lack of obvious mechanism of credibility assessment and trust management. Variety of users and quick update of content make the problem of credibility in open collaboration fairly complicated.
Activities of open collaborative content creation in this dissertation are referred to a new type of collaborative information behavior of users and way of content production. Meanwhile, open content in the dissertation focuses on open collaboration conforming to free documentation license, allowing revision, derivation and distribution of works by any contributors. Our research object will focus on factual works especially for textile collaborative content based on external references, such as open encyclopedia projects like Wikipedia and Baidu.
After reviewing present studies, we put forward the following research problems. Firstly, how are the mechanisms in activities of collaborative content creation and collaborative communities? Secondly, how to improve information quality and credibility of open content from both production and consumption perspectives? Thirdly, how to improve the efficiency of assessment activities of open content credibility?
Our research starts from the outstanding problems of trust and credibility in the process of open collaborative content creation, aims at the activity system of open collaborative content creation as main study object and focuses on its credibility as main study content. Meanwhile the study systematically and deeply explores the credibility problems of open collaborative content creation. Four parts constitute the dissertation:
(1) Framework of theoretic analysis:research on activity system of open collaborative content creation. We use the research framework and analyzing method of activity theory to construct the activity model and analyze its components, subsystems and activity structure; Define and describe three core components such as subject, object and community, three mediators of tools, rules and roles, and four subsystems of creation, consumption, collaboration and communication; Decompose activity process into four stages of consumption, creation, feedback and collaboration, conflicts and coordination, then go into structure characters of each stage; Describe the users' role differentiation phenomenon in evolving process of community.
(2) Perspective of content creation:subject-oriented research on trust evaluation. We explore effective models of trust assessment and management; Parse trust relationship of virtual community and construction of modes from the perspective of content creation; Put forward an extensive definition of trust and induce properties of network trust; Study and devise an extraction method of indirect feedback information based on the revision history, further deduce computation models of subject trust assessment, meanwhile implement the arithmetic process and model using Java development tool; Analyze the significance of the method based on the output results of the program.
(3) Perspective of content consumption:object-oriented research on credibility assessment. We use survey method to explore the main influence factors of credibility assessment and the difference of assessment awareness and behavior in groups differing in the degree of collaboration and participation; Conclude from analyzing survey results of two groups and put forward research hypotheses, then construct positive model of open content credibility; Devise and implement experimental study to test hypotheses; Analyze the results and provide indication of future study and practice.
(4) Perspective of both content creation and consumption:improvement research on the effectiveness of content credibility assessment activities. From three aspects of assessment process, inspiration of verification behavior, and interactive design of technology system based on user trust experience, the study goes into the way of improving effectiveness of credibility assessment, in order to enhance users trust experience in open collaborative communities and further improve the content credibility and sustainable development of open collaborative communities.
Main research conclusions as follows:
(1) We argue that the analyzing framework of activity theory can integrate present studies of mass collaboration and provide unifying descriptive framework and conceptual modes. Activity system model includes six components and four subsystems; collaborative activity process includes four stages; feedback and collaboration is the soul of mass collaborative activity.
(2) From perspective of content creation, subject-oriented trust assessment studies help to improve the transparency of collaborative activity and credibility of collaborative content. Our studies construct arithmetic to extract indirect feedback information based on the evolving chain of content fragments, and argue that this arithmetic can be applied to the construction of trust assessment model between subjects and reputation evaluation in collaborative community.
(3) From perspective of content consumption, user attributes (trust tendency, verification behavior, degree of collaborative participation) and content clues (degree of collaboration, reputation of collaborative contributors, quality of references) are main influential factors of credibility assessment. As to assessment awareness, users of higher degree of collaborative participation are significantly stronger than of lower degree. As to assessment ability, users of lower degree of collaborative participation are inclined to dispersive and sensible assessment criterion, while users of higher degree are inclined to centralize and rationale assessment criterion. Most users agree that verification behavior and clue of reference impact credibility assessment. Information stimulus based on content clues significantly impact perceived credibility of users.
(4) From perspective of both creation and consumption, we argue that something must be done to improve the effectiveness of credibility assessment activity and enhance users trust experience in collaborative community in order to improve information quality and credibility of open content.
Main innovation as follows:
(1) The study starts from dual perspectives of content creation and consumption using amalgamation of technological paradigm in trust studies and behavioral paradigm in user studies, and systematically and deeply goes into the credibility problem of open collaborative activity. In technological paradigm, it put forward a new assessment scheme constructed on feedback and collaboration as well as new arithmetic of extracting indirect feedback information, based on which it put forward the measurement of users' contribution and deductive method of trust degree; In behavioral paradigm, it constructs credibility assessment model of open content using multiple methods such as survey, content analysis, experimental study and interview, then parse the indication and significance of the model.
(2) The study constructs a unifying theoretic framework for analyzing activities of open collaborative content creation. It regards collaborative communities as an activity system on activity theoretic basis and elaborates collaborative problems of open communities in the framework.
Insufficiencies as follows:(1) Some hypotheses in the open content credibility model need to be confirmed through further practice studies such as whether community genre, verification behavior, or degree of users' familiarity to content affects perceived credibility. Experimental study in this dissertation is confined to the survey objects and explanation of the results is limited to ordinary network users whose degree of participation is lower. Further studies will extend experimental objects in order to make the model more explicable and precise;(2) the study in this dissertation has not put forward any way to extract feedback information from discussion or vote in the situation of assessing trust degree between subjects of wiki-based communities. Moreover, method of extracting indirect feedback information from revision history also needs to be refined;(3) the dissertation put forward only guidelines to devise the interactive situation of communities. We are going to go into concrete constructing methods for different types and forms of collaborative communities.
This research is financially supported by Social Science Foundation of Education Ministry and one of the achievements of the foundation-supported project entitled "Trust management mechanism for collaborative creation and content sharing in virtual communities"(NO.10YJC870048).
引文
1 唐·泰普斯科特,安东尼·D·威廉姆斯.维基经济学——大规模协作如何改变一切.中国青年出版社,2007：78
2 Stvilia B, Twidale M B, Smith L C, Gasser L. Information quality work organization in Wikipedia. Journal of the American Society for Information Science and Technology,2008,59:983-1001.
3 维基百科.ittp://zh.wikipedia.org/.2011/7/25访问
4 http://cn.alexa.com/siteinfo/wikipedia.org.2011/7/25访问
5 徐蔓.谁在撼动维基百科.互联网周刊,2008-1-5.
6 http://baike.baidu.com.2011/7/25访问
7 Okoli C. Beyond Open Source Software:An Introduction to Researching Open Content and Wikipedia. Sprouts: Working Papers on Information Systems,2009,9(64). http://sprouts.aisnet.org/9-64
1 Stallman R M. Copyright and Globalization in the Age of Computer Networks. In Free Software, Free Society: selected essays of Richard M. Stallman,1 st ed. Boston:Free Software Foundation,2002:133-154. http://www.gnu.org/philosophy/copyright-and-globalization.html.
2 Cheliotis, Giorgos. From open source to open content:Organization, licensing and decision processes in open cultural production. Decision Support Systems,2009,47(3):229-244.
3 Arazy O, Stroulia E, Ruecker S, etc. Recognizing contributions in wikis:Authorship categories, algorithms, and visualizations. Journal of the American Society for Information Science and Technology,2010,61(6):1166-1179
4 唐·泰普斯科特,安东尼·D·威廉姆斯.维基经济学——大规模协作如何改变一切.中国青年出版社,2007：84
3 Read B. Middlebury College History Department limits students use of Wikipedia. http://chronicle.com/article/Middlebury-College-History/23736,2006-2-16.
6 http://news.xinhuanet.com/society/2008-04/07/content_7931481.htm.新华网,2008-4-17.
7 Stvilia B, Twidale M B, Smith L C, Gasser L. Information quality work organization in Wikipedia. Journal of the American Society for Information Science and Technology,2008,59:983-1001
1 Metzger M J. Making Sense of Credibility on the Web:Models for Evaluating Online Information and Recommendations for Future Research. Journal of the American Society for Information and Technology,2007, 58(13):2078-2091.
2 Dondio P, Barrett S. Computational Trust in Web Content Quality:A Comparative Evaluation on the Wikipedia Project. Informatica,31 (2007) 151-160.
3 Weth C, Bohm K. A Unifying Framework for Behavior-Based Trust Models. In R. Meersman, Z. Tari et al. (Eds.):OTM 2006, LNCS 4275, pp.444-461,2006.
4 Mundie C, de Vries P, Haynes P, Corwine M. Trustworthy computing. Microsoft White Paper,2002.
5 林闯,彭雪海.可信网络研究.计算机学报,2005,28(5)：751—758
6 林闯,田立勤,王元卓.可信网络中用户行为可信的研究.计算机研究与发展,2008,45(12)
7 Cheliotis, Giorgos. From open source to open content:Organization, licensing and decision processes in open cultural production. Decision Support Systems,2009,47(3):229-244.
8 Okoli C. Beyond Open Source Software:An Introduction to Researching Open Content and Wikipedia. Sprouts: Working Papers on Information Systems,2009,9(64). http://sprouts.aisnet.org/9-64
1 Hansen P, Jarvelin K. Collaborative Information Retrieval in an information-intensive domain. Information Processing and Management,2005,41:1101-1119
2 London S. Collaboration and community. [2010-01-20]. http://www.scottlondon.com/reports/ppcc.html
3 Gray B. Collaborating:Finding Common Ground for Multiparty Problems. San Francisco:Jossey-Bass,1989:5.
4 Chrislip D D, Larson C E. Collaborative Leadership:How Citizens and Civic Leaders Can Make a Difference. San Francisco:Jossey-Bass,1994:5.
5 Foley C, Smeaton A F. Division of labour and sharing of knowledge for synchronous collaborative information retrieval. Information Processing and Management,2010,46(6):762-772.
6 Cole P, Nast-Cole J. A primer on group dynamics for groupware developers//edited by D. Marca and G Bock. Groupware:Software for Computer-Supported Cooperative Work. Los Alamitos, CA:IEEE Computer Society Press.1992:44-57.
7 Gutwin C, Greenberg S. The mechanics of collaboration:Developing low cost usability evaluation methods for shared workspaces. IEEE 9th International Workshop on Enabling Technologies:Infrastructure for Collaborative Enterprises (WETICE'00).14-16 June 2000.
8 Golovchinsky G, Qvarfordt P, Pickens J. Collaborative information seeking. IEEE Computer,2009,42(3).
9 Golovchinsky G, Pickens J, Back M. A Taxonomy of Collaboration in Online Information Seeking. Proc. Int'l Workshop Collaborative Information Retrieval. June 2008
10 Halvey M, et al. An asynchronous collaborative search system for online video search. Information Processing and Management,2010.
11 Morris M R, Teevan J. Understanding Groups' Properties as a Means of Improving Collaborative Search Systems. In Proceedings of the Workshop on Collaborative Information Retrieval. Pittsburgh, PA,2008.
1 Wilson M L, Schraefel M C. Evaluating Collaborative Information Seeking Interfaces with a Search-Oriented Inspection Method and Re-framed Information Seeking Theory. Information Processing & Management,2009
2 Fidel R, Pejtersen A M, Cleal B, Bruce H. A Multidimensional Approach to the Study of Human-Information Interaction:A Case Study of Collaborative Information Retrieval. Journal of the American Society for Information Science and Technology,2004,55(11):939-953.
3 Shah C. Lessons and Challenges for Collaborative Information Seeking (CIS) SystemsDevelopers. In the Proceedings of Collaborative Information Behavior Workshop at GROUP2009. Sanibel Island, Florida,2009
4 Foster J. Collaborative information seeking and retrieval. Annual Review of Information Science and Technology,2006,40 (1):329-356.
5 褚峻,张咏,巢乃鹏.信息查寻活动中的合作行为与合作式信息查寻.大学图书馆学报,2003(4)
6 Kuhlthau C C. Inside the search process:seeking meaning from the users perspective. Journal of the American Society for Information Science,1991,42(5):361-371.
1 Galegher J, Kraut R E. Computer-mediated communication for intellectual teamwork:A field experiment in group writing. In CSCW '90:Proceedings of the 1990 ACM conference on computer-supported cooperative work. New York. USA:ACM.1990:65-78
2 Poltrock S, Dumais S, Fidel R, Bruce H, Pejtersen A M. Information seeking and sharing in design teams. ACM conference on supporting group work (GROUP'03). ACM,2003
3 Reddy M C, Jansen B J. A model for understanding collaborative information behavior in context:A study of two healthcare teams. Information Processing and Management 44 (2008) 256-273
4 Wilson T D. Human information behavior. Informing science,2000,3(2)
5 Hansen P, Jarvelin K. Collaborative Information Retrieval in an information-intensive domain. Information Processing and Management,2005,41:1101-1119
6 任立肖.网络用户信息行为计量研究.兰州：兰州大学,2006
1 Hansen P, Jarvelin K. Collaborative Information Retrieval in an information-intensive domain. Information Processing and Management,2005,41:1101-1119
2 Huang C H, Tsai P Y. Applying Evolution Computation Model to the Development and Transition of Virtual Community under Web2.0//J. Mehnen et al. (Eds.):Applications of Soft Computing, AISC 58. Berlin Heidelberg: Springer-Verlag,2009:171-180.
Jones Q. Virtual-communities, virtual settlements & cyber-archaeology:A theoretical outline. Journal of Computer Mediated Communication,1997,3(3).
4 Ridings C M, Gefen D. Virtual community attraction:Why people hang out online. Journal of Computer-Mediated Communication,2004,10(1).
5 Surowiecki J. Wisdom of Crowds:Why the Many Are Smarter Than the Few and How Collective Wisdom Shapes Business, Economies, Societies and Nations. Doubleday Publishing,2004.
6 Surowiecki J. The wisdom of crowds. New York:Random House.2005
7 Arazy O, Morgan W, Patterson R. Wisdom of the crowds:Decentralized knowledge construction in Wikipedia. 16th annual workshop on information technologies and systems,2006. [2010-01-12]. http://papers.ssrn.com/sol3/papers.cfm?abstract_id= 1025624
8 Shah C. Lessons and Challenges for Collaborative Information Seeking (CIS) Systems Developers. In the Proceedings of Collaborative Information Behavior Workshop at GROUP2009. Sanibel Island, Florida,2009
1 Zhou N, Stahl G Towards Building a Math Discourse Community:Investigating Collaborative Information Behavior//D. Schuler (Ed.):Online Communities and Social Comput., HCII 2007, LNCS 4564,2007:509-518.
2 Lowry P B, Curtis A, Lowry M R. A Taxonomy of Collaborative Writing to Improve Empirical Research, Writing Practice, and Tool Development. Journal of Business Communication,2004,41 (1), pp.66-99.
3 Maleewong K, Anutariya C, Wuwongse V. SAM:Semantic Argumentation Based Model for Collaborative Knowledge Creation and Sharing System//N.T. Nguyen, R. Kowalczyk, and S.-M. Chen (Eds.):ICCCI 2009, LNA1 5796,2009:75-86.
4 Tosic M, Nejkovic V. Collaborative Wiki Tagging//S. Schaffert et al. (Eds.):Networked Knowledge-Networked Media, SCI 221. Springer Berlin/Heidelberg,2009:141-153.
5 Kortemeyer Q Bauer W. Multimedia Collaborative Content Creation (mc3)-The MSU LectureOnline System. Journal of Engineering Education,1999,88(4):405
1 Wagner C, Prasarnphanich P. Innovating Collaborative Content Creation:The Role of Altruism and Wiki Technology. Proceedings of the 40th Hawaii International Conference on System Sciences.2007
2 Wasko M M, Faraj S. "Why Should I Share? Examining Social Capital and Knowledge Contribution in Electronic Networks of Practice", MIS Quarterly,2005,29 (1):35-57.
3 Stratton C R. Collaborative Writing in the Workplace. IEEE Transactions on Professional Communication,1989, 32(3),178-182.
4 Lowry P B, Curtis A, Lowry M R.A Taxonomy of Collaborative Writing to Improve Empirical Research, Writing Practice, and Tool Development. Journal of Business Communication,2004,41(1), pp.66-99.
3 Stvilia B, Twidale M B, Smith L C, Gasser L. Information quality work organization in Wikipedia. Journal of the American Society for Information Science and Technology,2008,59:983-1001
6 Posner I R, Baecker R M. How people write together. Paper presented at the Twenty-fifth Hawaii International Conference on System Sciences, Kauai, Hawaii,1992
7 Sharples M. Adding a little structure to collaborative writing. CSCW in practise:An introduction and case studies.1993.
8 Noel S, Robert J M. How the Web is used to support collaborative writing. Behaviour & Information Technology, 2003,22:245-262.
1 Metzger M J. Making Sense of Credibility on the Web:Models for Evaluating Online Information and Recommendations for Future Research. JASIST.2007
2 Azzedin F, Maheswaran M. Evolving and Managing Trust in Grid Computing Systems. IEEE Canadian Conference on Electrical & Computer Engineering, May 2002
3 Dondio P, Barrett S. Computational Trust in Web Content Quality:A Comparative Evalutation on the Wikipedia Project. Informatica,2007,31:151-160.
4 Mui L, Mohtashemi M, Halberstadt A. A Computational Model of Trust and Reputation. Proceedings of the 35th Annual Hawaii International Conference on System Sciences,2002
5 Hilligoss B, Rieh, S Y. Developing a unifying framework of credibility assessment:Construct, heuristics, and interaction in context. Information Processing and Management,2008,44(4)
6 Flanagin A J, Metzger M J. Digital media and youth:Unparalleled opportunity and unprecedented responsibility. In M.Metzger & A. Flanagin (Eds.), Digital media, youth, and credibility. Cambridge, MA:MIT Press,2007:5-28
7 邓晓衡,卢锡城,王怀民.iVCE中基于可信评价的资源调度研究.计算机学报,2007,30(10)
8 蔡斯博,邹艳珍.邵凌霜等.一种支持软件资源可信评估的框架.软件学报,2010,21(2)：359-372
9 Chen, T-Y. Advanced multi-phase trust evaluation model for collaboration between coworkers in dynamic virtual project teams. Expert Systems with Applications,2009,36(8).
10 Kim D J. A trust-based consumer decision-making model in electronic commerce:The role of trust, perceived risk, and their antecedents. Decision Support Systems,2008,44(2).
11 Wang Y, Vassileva J. Bayesian network-based trust model. IEEE/WIC International Conference on Web Intelligence, October 2003.
1 李晓静.中国大众媒介可信度指标研究.博士学位论文：复口.大学,2005.
2 邓发云.基于用户需求的信息可信度研究.博士学位论文：西南交通大学,2006.
3 Metzger M J. Making Sense of Credibility on the Web:Models for Evaluating Online Information and Recommendations for Future Research. Journal of the American Society for Information Science and Technology, 2007,58(13):2078-2091
4 Metzger M J. Making Sense of Credibility on the Web:Models for Evaluating Online Information and Recommendations for Future Research. Journal of the American Society for Information Science and Technology, 2007,58(13):2078-2091
5 Flanagin A J, Metzger M J. The role of site features, user attributes, and information verification behaviors on the perceived credibility of web-based information. New Media Society,2007,9(2):319-342
6 张明新.网络信息的可信度研究：网民的视角.新闻与传播研究,2007,12(2)
7 汤志伟,彭志华,张会平.网络公共危机信息可信度的实证研究.情报杂志,2010,29(7)
8 Fogg B J. Persuasive technology:Using computers to change what we think and do. San Francisco:Kaufmann, 2003.
9 Rieh S Y. Judgment of information quality and cognitive authority in the Web. Journal of the American Society for Information Science and Technology,2002,53(2),145-161.
10 孙曙迎.消费者网络信息可信度感知影响因索的实证研究.北京理工大学学报,2008(6)
11 包敦安,董大海.基于ELM的网络评论信息可信影响因素研究.现代管理科学,2009(11)：107-109
12 徐琳.网络口碑信息可信度影响因素的实证研究.财贸研究,2007.5
13 孙春华,刘业政.网络口碑信息可信度的实验研究.财经论从.2009(4)
1 Neus A. Managing Information Quality in Virtual Communities of Practice. In:Pierce, E.& Katz-Haas, R. (Eds.) Proceedings of the 6th International Conference on Information Quality at MIT. Boston, MA,2001
2 周庆山,王京山.维基百科信息自组织模式探析.情报资料工作,2007(2)
3 马费成,夏永红.基于CAS理论的维基百科序化机制研究.图书馆论坛,2008(6)
4 Stvilia B, Twidale M B, Smith L C, Gasser L. Information quality work organization in Wikipedia. Journal of the American Society for Information Science and Technology,2008,59:983-1001.
5 Stvilia B, AI-Faraj A, Yi Y J. Issues of cross-contextual information quality evaluation-The case of Arabic English, and Korean Wikipedias. Library & Information Science Research,2009,31:232-239.
6 Viegas F, Wattenberg M, Dave K.. Studying Cooperation and Conflict between Authors with history flow Visualizations. In Proceedings of SIGCHI,2004.
7 Braendle A. Many cooks don't spoil the broth. Proceedings of Wikimania 2005-The First International Wikimedia Conference. Frankfurt, Germany,2005
8 Giles J. Internet Encyclopedias Go Head to Head. Nature.2005,438:900-901
9 Chesney T. An empirical examination of Wikipedia's credibility. First Monday,2006,11(11).
10 Dondio P, Barrett S, Weber S. Calculating the trustworthiness of Wikipedia articles using DANTE methodology. IADIS International Conference e-Society,2006
11 Dondio P, Barrett S. Computational Trust in Web Content Quality:A Comparative Evalutation on the Wikipedia Project. Informatica,2007,31:151-160.
12 Zeng H, Alhossaini M, Fikes R, etc. Mining revision history to assess trustworthiness of article fragments. Proceedings of the 2006 International Conference on Collaborative Computing:Networking, Applications and Worksharing, October 2006.
1 Javanmardi S, Lopes C V. Modeling trust in collaborative information systems. International Conference on Collaborative Computing:Networking, Applications and Worksharing,2007:299-302.
2 Adler B T. Assigning Trust to Wikipedia Content. Technical Report UCSC-CRL-07-09,2007
Adler B T, Alfaro L de. A content-driven reputation system for the wikipedia. In Proc. of the 16th Intl. World Wide Web Conf. (WWW 2007), New York:ACM Press,2007.
4 Arazy O, Stroulia E, Ruecker S, etc. Recognizing contributions in wikis:Authorship categories, algorithms, and visualizations. Journal of the American Society for Information Science and Technology,2010,61(6):1166-1179
1 Lowry P B, Curtis A, Lowry, M R. A Taxonomy of Collaborative Writing to Improve Empirical Research, Writing Practice, and Tool Development. Journal of Business Communication,2004,41(1):66-99.
2 Noel S, Robert J M. How the Web is used to support collaborative writing. Behaviour & Information Technology, 2003,22:245-262.
3 Posncr, I R, Baeckcr R M. How people write together. Paper presented at the Twenty-fifth Hawaii International Conference on System Sciences, Kauai, Hawaii,1992.
4 Sharples M. Adding a little structure to collaborative writing. CSCW in practise:An introduction and case studies,1993.
1 张薇薇.社群环境下用户协同信息行为研究述评.中国图书馆学报,2010(4)
1 Engestrom Y. Learning by expanding:an activity-theoretical approach to developmental research. Helsinki: Orienta-Konsultit,1987.
3 Bedny G Z, Seglin M H, Meister D. Activity theory:history, research and application. Theoretical Issues in Ergonomic Science,2000,1(2):168-206.
4 Wilson T D. Activity theory and information seeking. Annual Review of Information Science and Technology, 2008,42:119-162.
1 Stvilia B, Gasser L. An activity theoretic model for information quality change. First Monday,2008,13(4).
2 Wilson T D. A re-examination of information seeking behaviour in the context of activity theory. Information Research,2006(6).
3 Lazinger, Susan S, Judit-Bar-LLan, Bluma c. Pertiz. Internet used by faculty members in various disciplines:A Comparative Case Study. Journal of American Society for Information Science,1997(6):508-518
4 Cole P, Nast-Cole J. A primer on group dynamics for groupware developers//edited by D. Marca and G. Bock. Groupware:Software for Computer-Supported Cooperative Work. Los Alamitos, CA:IEEE Computer Society Press,1992:44-57.
5 Jonassen D H, Murphy L R. Activity theory as a framework for designing constructivist learning environments// Educational Technology, Research and Development. Washington:1999,47:61-79.
6 吕巾娇,刘美凤,史力范.活动理论的发展脉络与应用探析.现代教育技术,2007(1)
7 Wikipedia:About. [2010-07-15]. http://en.wikipedia.org/wiki/Wikipedia:About.
1 The Apache Software Foundation. [2010-07-20]. http://community.apache.org/
2 赵宇翔,朱庆华.Web 2.0环境下影响用户生成内容的主要动因研究.中国图书馆学报,2009,(5)
3 Hars A, Ou S. Working for Free? Motivations for Participating in Open-Source Projects. International Journal of Electronic Commerce,2002,6:25-39.
4 Ye Y W, Kishida K. Toward an Understanding of the Motivation of Open Source Software Developers. Proceedings of 2003 International Conference on Software Engineering (ICSE2003), Portland, OR, May 3-10, 2003.
5 Wagner C, Prasarnphanich P. Innovating Collaborative Content Creation:The Role of Altruism and Wiki Technology. Proceedings of the 40th Hawaii International Conference on System Sciences,2007
1 Fjeld M, Lauche K, Bichsel M, etc. Physical and Virtual Tools:Activity Theory Applied to the Design of Groupware. Computer Supported Cooperative Work,2002,11:153-180.
1 Neus A. Managing Information Quality in Virtual Communities of Practice//In:Pierce, E.& Katz-Haas, R. (Eds.) Proceedings of the 6th International Conference on Information Quality at MIT. Boston, MA:Sloan School of Management,2001
2 Nakakoji K, Yamamoto Y, Nishinaka Y, etc. Evolution Patterns of Open-Source Software Systems and Communities. Proceedings of International Workshop on Principles of Software Evolution (IWPSE 2002), Orlando, FL,2002:76-85.
3 Ye Y W, Kishida K. Toward an Understanding of the Motivation of Open Source Software Developers. Proceedings of 2003 International Conference on Software Engineering (ICSE2003), Portland, OR, May 3-10, 2003.
4 Wagner C, Prasarnphanich P. Innovating Collaborative Content Creation:The Role of Altruism and Wiki Technology. Proceedings of the 40th Hawaii International Conference on System Sciences,2007
1 Stvilia B, Twidale M B, Smith L C, etc. Information quality work organization in Wikipedia. Journal of the American Society for Information Science and Technology,2008,59:983-1001.
2 吕巾娇,刘美凤,史力范.活动理论的发展脉络与应用探析.现代教育技术,2007(1)
3 Stvilia B, Gasser L. An activity theoretic model for information quality change. First Monday,2008,13(4).
4 Wilson T D. A re-examination of information seeking behaviour in the context of activity theory. Information Research,2006(6).
1 Field M, Lauche K, Bichsel M, etc. Physical and Virtual Tools:Activity Theory Applied to the Design of Groupware. Computer Supported Cooperative Work,2002,11:153-180.
2 Ye Y W, Kishida K. Toward an Understanding of the Motivation of Open Source Software Developer Proceedings of 2003 International Conference on Software Engineering (ICSE2003), Portland, OR, May 3-10, 2003.
3 Stvilia B, Twidale M B, Smith L C, etc. Information quality work organization in Wikipedia. Journal of the American Society for Information Science and Technology,2008,59:983-1001.
4 Wikipedia:Neutral Point of View. [2010-07-28]. http://en.wikipedia.org/wiki/NPOV
1 Viegas F B, Wattenberg M, Kriss J, etc. Talk Before You Type:Coordination in Wikipedia. Proceeding of the 40th Hawaii International Conference on System Sciences,2007.
2 Braendle, A. Many cooks don't spoil the broth. Proceedings of Wikimania 2005-The First International Wikimedia Conference. Frankfurt, Germany,2005.
3 马费成,夏永红.基于CAS理论的维基百科序化机制研究.图书馆论坛,2008(6)
4 赵宇翔,朱庆华.Web 2.0环境下影响用户生成内容的主要动因研究.中国图书馆学报,2009,(5)
1 The Apache Software Foundation. [2010-07-201. http://community.apache.org/
2 Ye Y W, Kishida K. Toward an Understanding of the Motivation of Open Source Software Developers. Proceedings of 2003 International Conference on Software Engineering (ICSE2003), Portland, OR, May 3-10, 2003.
3 赵宇翔,朱庆华.Web 2.0环境下影响用户生成内容的主要动因研究.中国图书馆学报,2009,(5)
4 杨堤雅.网际网路虚拟社群成员之角色与沟通互动之探讨.台湾：国立中正大学企业管理研究所,2000.
5 毛波,尤雯雯.虚拟社区成员分类模型.清华大学学报(自然科学版),2006,46(S1)：1070-1073.
1杨堤雅.网际网路虚拟社群成员之角色与沟通互动之探讨.台湾：中正大学企业管理研究所，2000.
2 Ye Y W, Kishida K. Toward an Understanding of the Motivation of Open Source Software Developers. Proceedings of 2003 International Conference on Software Engineering (ICSE2003), Portland, OR, May 3-10, 2003.
1 Javanmardi S, Lopes C V. Modeling trust in collaborative information systems. International Conference on Collaborative Computing:Networking, Applications and Worksharing,2007:299-302.
2 Arazy O, Stroulia E, Ruecker S, etc. Recognizing contributions in wikis:Authorship categories, algorithms, and visualizations. Journal of the American Society for Information Science and Technology,2010,61 (6):1166-1179
3 Metzger M J. Making Sense of Credibility on the Web:Models for Evaluating Online Information and Recommendations for Future Research.JASIST,2007,58(13):2078-2091
4 Azzedin F, Maheswaran M. Evolving and Managing Trust in Grid Computing Systems. IEEE Canadian Conference on Electrical & Computer Engineering, May 2002
3 Dondio P, Barrett S. Computational Trust in Web Content Quality:A Comparative Evalutation on the Wikipedia Project. Informatica,2007,31:151-160.
6 Mui L, M Mohtashcmi, A Halberstadt. A Computational Model of Trust and Reputation. Proceedings of the 35th Annual Hawaii International Conference on System Sciences,2002
1 Weth C, Bohm K. A Unifying Framework for Behavior-Based Trust Models//R. Mecrsman, Z. Tari et al. (Eds.): OTM 2006, LNCS 4275,2006:444-461.
2 林闯,田立勤,王元卓.可信网络中用户行为可信的研究.计算机研究与发展,2008,45(12)
1 J(?)sang A, Ismail R, Boyd C. A survey of trust and reputation systems for online service provision. Decision Support Systems,2007(43):618-644
2 Wang Y, Vassileva J. Bayesian network-based trust model. IEEE/WIC International Conference on Web Intelligence, October 2003.
3 Weth C, Bohm K. A Unifying Framework for Behavior-Based Trust Models//R. Meersman, Z. Tari et al. (Eds.): OTM 2006, LNCS 4275,2006:444-461.
4 田莹颖,吴克文,赵宇翔,朱庆华.维基百科信息内容评议模式及其对传统期刊评议的借鉴.情报理论与实践,2010(12)
1 Dondio P, Barrett S. Computational Trust in Web Content Quality:A Comparative Evalutation on the Wikipedia Project. Informatica,2007,31:151-160.
2 Zeng H, Alhossaini M, Fikes R, etc. Mining revision history to assess trustworthiness of article fragments. Proceedings of the 2006 International Conference on Collaborative Computing:Networking, Applications and Worksharing, October 2006.
3 Adler B T. A Content-Driven Reputation System for the Wikipedia. Proc. of the 16th Intl. World Wide Web Conf. (WWW 2007). ACM Press,2007.
4 Adler B T. Assigning Trust to Wikipedia Content. Technical Report UCSC-CRL-07-09,2007.
5 王玫,朱云龙,何小贤.群体智能研究综述.计算机工程,2005(11)
6 Arazy O, Stroulia E, Ruecker S, etc. Recognizing contributions in wikis:Authorship categories, algorithms, and visualizations. Journal of the American Society for Information Science and Technology,2010,61(6):1166-1179
7 Ridings C, Gefen D, Arinze B. Some antecedents and effects of trust in virtual communities. Journal of Strategic Information Systems,2002,11(3/4):271-295.
8 Chang H H, Chuang S S. Social capital and individual motivations on knowledge sharing:Participant involvement as a moderator. Information & Management,2011,48(1):9-18
9 Adler B T. A Content-Driven Reputation System for the Wikipedia. In Proc. of the 16th Intl. World Wide Web Conf. (WWW 2007). ACM Press,2007.
1 唐·泰普斯科特,安东尼·D·威廉姆斯.维基经济学.中国青年出版社,2007.
2 Neus A. Managing Information Quality in Virtual Communities of Practice. In:Pierce, E. & Katz-Haas, R. (Eds.) Proceedings of the 6th International Conference on Information Quality at MIT. Boston, MA:Sloan School of Management,2001
3 Viegas F B, Wattenberg M, Kriss J, etc. Talk Before You Type:Coordination in Wikipedia. Proceeding of the 40th Hawaii International Conference on System Sciences,2007.
4 Braendle A. Many cooks don't spoil the broth. Proceedings of Wikimania 2005-The First International Wikimedia Conference. Frankfurt, Germany,2005.
5 Surowiecki J. The wisdom of crowds. New York:Random House,2005
1 Wikipedia:About. [2010-07-15]. http://en.wikipcdia.org/wiki/Wikipedia:About.
2 Ye Y W, Kishida K. Toward an Understanding of the Motivation of Open Source Software Developers. Proceedings of 2003 International Conference on Software Engineering (ICSE2003), Portland, OR, May 3-10, 2003.
1 田莹颖,吴克文,赵宇翔,朱庆华.维基百科信息内容评议模式及其对传统期刊评议的借鉴.情报理论与实践,2010(12)
2 Stvilia B, Twidale M B, Smith L C, Gasser L. Information quality work organization in Wikipedia. Journal of the American Society for Information Science and Technology,2008,59:983-1001.
3 Resnick P, R. Zeckhauser, R. Friedman, K. Kuwabara, Reputation systems. Communications of the ACM,2000, 43(12):45-48.
4 Jesang A, Ismail R, Boyd C. A survey of trust and reputation systems for online service provision. Decision Support Systems,2007(43):618-644
5 唐·泰普斯科特,安东尼·D·威闲廉姆斯.维基经济学.中国青年出版社,2007.
6 Weth C K. Bohm. A Unifying Framework for Behavior-Based Trust Models. In R. Meersman, Z. Tari et al. (Eds.):OTM 2006, LNCS 4275,2006, pp.444-461.
1 Hilligoss B, Rieh, S Y. Developing a unifying framework of credibility assessment:Construct, heuristics, and interaction in context. Information Processing and Management,2008,44(4)
2 Weth C K. Bohm. A Unifying Framework for Behavior-Based Trust Models. In R. Meersman, Z. Tari et al. (Eds.):OTM 2006, LNCS 4275,2006, pp.444-461.
1 张薇薇.基于隐喻视角的信息可视化系统比较研究.图书情报工作,2009(14)
1 Adler B T. A Content-Driven Reputation System for the Wikipedia. Proc. of the 16th Intl. World Wide Web Conf. (WWW 2007). ACM Press,2007.
Zeng H, Alhossaini M, Fikes R, etc. Mining revision history to assess trustworthiness of article fragments. Proceedings of the 2006 International Conference on Collaborative Computing:Networking, Applications and Worksharing, October 2006.
3 司联合,张伟平,论句子语义学的研究.河南理工大学学报(社会科学版),2005(4)
4 Zeng H, Alhossaini M, Fikes R, etc. Mining revision history to assess trustworthiness of article fragments. Proceedings of the 2006 International Conference on Collaborative Computing:Networking, Applications and Worksharing, October 2006.
1赵宇翔,朱庆华.Web 2.0环境下影响用户生成内容的主要动因研究.中国图书馆学报,2009,(5)
1 Hilligoss B, Rieh S Y. Developing a unifying framework of credibility assessment:Construct, heuristics, and interaction in context. Information Processing and Management,2008,44(4)
1 Metzger M J. Making Sense of Credibility on the Web:Models for Evaluating Online Information and Recommendations for Future Research. Journal of the American Society for Information Science and Technology, 2007,58(13):2078-2091
2 Flanagin A J, Metzger M J. The role of site features, user attributes, and information verification behaviors on the perceived credibility of web-based information. New Media Society,2007, 9(2):319-342
3 张明新.网络信息的可信度研究：网民的视角.新闻与传播研究,2007,12(2)
4 汤志伟,彭志华,张会平.网络公共危机信息可信度的实证研究.情报杂志,2010,29(7)
5 Fogg B J. Persuasive technology:Using computers to change what we think and do. San Francisco:Kaufmann, 2003.
6 Rieh S Y. Judgment of information quality and cognitive authority in the Web. Journal of the American Society for Information Science and Technology,2002,53(2),145-161.
7 包敦安,董大海.基于ELM的网络评论信息可信性影响因索研究.现代管理科学,2009(11)：107-109
1 高祖新,陈华钧.概率论与数理统计.南京大学出版社,1995：161.
1 Meola M. Chucking the checklist:A contextual approach to teaching undergraduates Web-site evaluation. Libraries and the Academy,2004,4(3),331-344.
1 Metzger M J. Making Sense of Credibility on the Web:Models for Evaluating Online Information and Recommendations for Future Research. Journal of the American Society for Information Science and Technology, 2007,58(13):2078-2091
2 包敦安,董大海.基于ELM的网络评论信息可信性影响因素研究.现代管理科学,2009(11)：107-109
1 Braendle A. Many cooks don't spoil the broth. Proceedings of Wikimania 2005-The First International Wikimedia Conference. Frankfurt, Germany,2005.
2 Metzger M J. Making Sense of Credibility on the Web:Models for Evaluating Online Information and Recommendations for Future Research. Journal of the American Society for Information Science and Technology, 2007,58(13):2078-2091
3 Fogg B J. Persuasive technology:Using computers to change what we think and do. San Francisco:Kaufmann, 2003.
4 Rieh S Y. Judgment of information quality and cognitive authority in the Web. Journal of the American Society for Information Science and Technology,2002,53(2),145-161.
5 Adler B T. A Content-Driven Reputation System for the Wikipedia. Proc. of the 16th Intl. World Wide Web Conf (WWW 2007). ACM Press,2007.
6 http://zh.wikipedia.org/wiki/Wikipedia:V,2011/5/4访问
7 Flanagin A J, Metzger M J. The role of site features, user attributes, and information verification behaviors on the perceived credibility of web-based information. New Media Society,2007,9(2):319-342
8 汤志伟,彭志华,张会平.网络公共危机信息可信度的实证研究.情报杂志,2010,29(7)
9 孙曙迎.消费者网络信息可信度感知影响因索的实证研究.北京理工大学学报,2008(6)
1 Flanagin A J, Metzger M J. Perceptions of Internet Information Credibility. Journalism and Mass Communication Quarterly,2000,77(3):515-40.
2 罗志成,关婉湫,张勤.维基百科与百度百科比较分析.情报理论与实践,2009(4)
1 汤志伟,彭志华,张会平.网络公共危机信息可信度的实证研究.情报杂志,2010,29(7)
2 孙曙迎.消费者网络信息可信度感知影响因素的实证研究.北京理工大学学报,2008(6)
3 Flanagin A J, Metzger M J. The role of site features, user attributes, and information verification behaviors on the perceived credibility of web-based information. New Media Society,2007,9(2):319-342
3 张明新.网络信息的可信度研究：网民的视角.新闻与传播研究,2007,12(2)
4 孙春华,刘业政.网络口碑信息可信度的实验研究.财经论从,2009(4)
1 Stvilia B, Twidale B, Smith L C, Gasser L. Information quality work organization in Wikipedia. Journal of the American Society for Information Science and Technology,2008,59:983-1001.
2 Flanagin A J, Metzger M J. The role of site features, user attributes, and information verification behaviors on the perceived credibility of web-based information. New Media Society,2007.9(2):319-342
1 http://zh.wikipedia.org/wiki/Wikipedia:V,2011/5/4访问
http://www.baidu.com/search/baike help.html#编辑原则,2011/7/15访问
3 罗志成,关婉湫,张勤.维基百科与百度科比较分析.情报理论与实践,2009(4)
1 Chaiken S, Trope Y. Dual-process theories in social psychology. New York:Guilford Press,1999.
2 Metzger M J. Making Sense of Credibility on the Web:Models for Evaluating Online Information and Recommendations for Future Research. Journal of the American Society for Information Science and Technology, 2007,58(13):2078-2091
3 Petty R E, Cacioppo J T. The elaboration of likelihood model of persuasion. Advances in Experimental social Psychology,1986,19:123-205.
1 Metzger M J. Making Sense of Credibility on the Web:Models for Evaluating Online Information and Recommendations for Future Research. Journal of the American Society for Information Science and Technology, 2007,58(13):2078-2091
2 Hilligoss B, Rieh S Y. Developing a unifying framework of credibility assessment:construct, heuristics, and interaction in context. Information Processing and Management,2008,44(4):1467-1484
1 Hilligoss B, Rieh S Y. Developing a unifying framework of credibility assessment:construct, heuristics, and interaction in context. Information Processing and Management,2008,44(4):1467-1484
2 唐·泰普斯科特,安东尼·D·威廉姆斯.维基经济学——大规模协作如何改变一切.中国青年出版社,2007
1 Flanagin A J, Metzger M J. Perceptions of Internet Information Credibility. Journalism and Mass Communication Quarterly,2000,77(3):515-40.
2 Flanagin A J, Metzger M J. The role of site features, user attributes, and information verification behaviors on the perceived credibility of web-based information. New Media Society,2007,9(2):319-342
3 Metzger M J. Making Sense of Credibility on the Web:Models for Evaluating Online Information and Recommendations for Future Research. Journal of the American Society for Information Science and Technology, 2007,58(13):2078-2091
4 孙彦,李纾,殷晓莉.决策与推理的双系统——启发式系统和分析系统.心理科学进展,2007,15(5)：721-845.
1 Metzger M J. Making Sense of Credibility on the Web:Models for Evaluating Online Information and Recommendations for Future Research. Journal of the American Society for Information Science and Technology, 2007,58(13):2078-2091
2 Meola M. Chucking the checklist:A contextual approach to teaching undergraduates Web-site evaluation. Libraries and the Academy,2004,4(3),331-344.
1 Vord R V. Distance students and online research:Promoting information literacy through media literacy. Internet and Higher Education,2010,13:170-175.
2 Fritch J W. Heuristics, tools, and systems for evaluating Internet information:Helping users assess a tangled Web. Online Information Review,2003,27(5):321-327.
1 张明新.网络信息的可信度研究：网民的视角.新闻与传播研究,2007,12(2)
2 Flanagin A J, Metzger M J. The role of site features, user attributes, and information verification behaviors on the perceived credibility of Web-based information. New Media Society,2007,9(2):319-342
1 周涛,鲁耀斌.基于社会影响理论的虚拟社区用户知识共享行为研究.研究与发展管理,2009(4)
2 比尔盖茨.未来时速——数字神经系统与商务新思维.北京大学出版社,1999.
3 http://zh.wikipedia.org/wiki/Wikipedia:V,2011/5/4访问
1 http://www.baidu.com/seach/baike_help.html#编辑原则,2011/7/15访问
1 邓胜利,张敏.基于用户体验的交互式信息服务模型构建.中国图书馆学报,2009(1)
2 Toms E G. Information Interaction:Providing a Framework for Information Architecture. Journal of the American Society for Information Science and Technology,2002,53 (10):855-862
3 胡昌平,胡吉明,邓胜利.基于Web 2.0的用户群体交互分析及其服务拓展研究.中国图书馆学报,2009(5)
1 Flanagin A J, Metzger M J. The role of site features, user attributes, and information verification behaviors on the perceived credibility of web-based information. New Media Society,2007,9(2):319-342
2 张明新.网络信息的可信度研究：网民的视角.新闻与传播研究,2007,12(2)
3 Kubiszewski I, Noordcwier T, Costanza R. Perceived credibility of Internet encyclopedia. Computers & Education,2011,56:659-667.
4 林闯,田立勤,王元卓.可信网络中用户行为可信的研究.计算机研究与发展,2008,45(12)
5 Weth C, Bohm K. A Unifying Framework for Behavior-Based Trust Models. In R. Meersman, Z. Tari et al. (Eds.):OTM 2006, LNCS 4275, pp.444-461,2006.
1 Zhang J. The implication of metaphors in information visualization//Visualization in information retrieval. Springer Berlin Heidelberg,2008
2 束定芳.论隐喻与明喻的结构及认知特点.外语教学与研究,2003,(2)
3 赵宗金.心理学的意义空间——一种隐喻视角的考察.长春：吉林大学,2008
1 董献洲.信息可视化视图的特征认知模式研究.情报科学,2008,26(7)
2 Zhang J. The implication of metaphors in information visualization//Visualization in information retrieval. Springer Berlin Heidelberg,2008
1 http://service.taobao.com/support/knowledge-1119261-htm.[2012.01.02访问]
2 Adler B T. Assigning Trust to Wikipedia Content.Technical Report UCSC-CRL-07.09,2007.
[1]. Adler B T, Alfaro L de. A content-driven reputation system for the wikipedia. In Proc. of the 16th Intl. World Wide Web Conf. (WWW 2007), New York:ACM Press,2007.
[2]. Adler B T. Assigning Trust to Wikipedia Content. Technical Report UCSC-CRL-07-09,2007.
[3]. Amershi, S, Morris, M R. Cosearch:A system for co-located collaborative web search[G]. In HCI. Florence, Italy:ACM,2008:1647-1656
[4]. Arazy O, Stroulia E, Ruecker S, etc. Recognizing contributions in wikis:Authorship categories, algorithms, and visualizations. Journal of the American Society for Information Science and Technology,2010,61 (6):1166-1179
[5]. Arazy, O., Morgan, W., and Patterson, R. Wisdom of the crowds:Decentralized knowledge construction in Wikipedia.16th annual workshop on information technologies and systems, 2006. [2010-01-12]. http://papers.ssrn.com/sol3/papers.cfm?abstract_id=1025624
[6]. Azzedin F, Maheswaran M. Evolving and Managing Trust in Grid Computing Systems. IEEE Canadian Conference on Electrical & Computer Engineering, May 2002
[7]. Bedny G Z, Seglin M H,Meister D. Activity theory:history, research and application. Theoretical Issues in Ergonomic Science,2000,1(2):168-206.
[8]. Braendle, A. Many cooks don't spoil the broth. Proceedings of Wikimania 2005-The First International Wikimedia Conference. Frankfurt, Germany,2005.
[9]. Chaiken S, Trope Y. Dual-process theories in social psychology. New York:Guilford Press, 1999.
[10].Chang H H, Chuang S S. Social capital and individual motivations on knowledge sharing: Participant involvement as a moderator. Information & Management,2011,48(1):9-18
[11].Cheliotis, Giorgos. From open source to open content:Organization, licensing and decision processes in open cultural production. Decision Support Systems,2009,47(3):229-244.
[12].Chen, T-Y Advanced multi-phase trust evaluation model for collaboration between coworkers in dynamic virtual project teams. Expert Systems with Applications,2009,36(8).
[13]. Chesney T. An empirical examination of Wikipedia's credibility. First Monday,2006,11(11).
[14].Cole P., Nast-Cole J. A primer on group dynamics for groupware developers[G]//edited by D. Marca and G. Bock. Groupware:Software for Computer-Supported Cooperative Work. Los Alamitos, CA:IEEE Computer Society Press,1992:44-57.
[15].Corritore C L, Kracher B, Wiedenbeck S. On-line trust:concepts, evolving themes, a model. Int. J. Human-Computer Studies,58 (2003):737-758
[16].David D. Chrislip and Carl E. Larson. Collaborative Leadership:How Citizens and Civic Leaders Can Make a Difference. San Francisco:Jossey-Bass,1994:5.
[17].Dondio P, Barrett S. Computational Trust in Web Content Quality:A Comparative Evaluation on the Wikipedia Project. Infonnatica,31 (2007):151-160.
[18].Dondio P, S Barrett, S Weber. Calculating the trustworthiness of Wikipedia articles using DANTE methodology. IADIS International Conference e-Society,2006
[19].Engestrom Y. Learning by expanding:an activity-theoretical approach to developmental research. Helsinki:Orienta-Konsultit,1987.
[20].Esfandiari B. Chandrasekharan S. On How Agents Make Friends:Mechanisms for Trust Acquisition. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.11.4683&rep=rep 1&type=pdf
[21].Fjeld M, Lauche K, Bichsel M, etc. Physical and Virtual Tools:Activity Theory Applied to the Design of Groupware. Computer Supported Cooperative Work,2002,11:153-180.
[22].Flanagin A J, Metzger M J. Perceptions of Internet Information Credibility. Journalism and Mass Communication Quarterly,2000,77(3):515-40.
[23].Flanagin A J, Metzger M J. The role of site features, user attributes, and information verification behaviors on the perceived credibility of web-based information. New Media Society,2007,9(2):319-342
[24].Flanagin, A J, Metzger, M J. Digital media and youth:Unparalleled opportunity and unprecedented responsibility. In M.Metzger & A. Flanagin (Eds.), Digital media, youth, and credibility. Cambridge, MA:The MIT Press,2007:5-28
[25].Fogg B J. Persuasive technology:Using computers to change what we think and do. San Francisco:Kaufmann,2003.
[26].Foley, C., & Smeaton, A. F. Division of labour and sharing of knowledge for synchronous collaborative information retrieval. Information Processing and Management,2009, in press. [2010-01-10]. http://dx.doi.org/10.1016/j.ipm.2009.10.010
[27].Foster, J. Collaborative information seeking and retrieval. Annual Review of Information Science and Technology,2006,40 (1):329-356.
[28].Fritch J W. Heuristics, tools, and systems for evaluating Internet information:Helping users assess a tangled Web. Online Information Review,2003,27(5):321-327.
[29].Galegher, J, Kraut, R E. Computer-mediated communication for intellectual teamwork:A field experiment in group writing. In CSCW '90:Proceedings of the 1990 ACM conference on computer-supported cooperative work. New York, USA:ACM,1990:65-78
[30].Giles J. Internet Encyclopedias Go Head to Head. Nature.2005,V438:900-901
[31].Golovchinsky G, J. Pickens, and M. Back. A Taxonomy of Collaboration in Online Information Seeking. Proc. Int'l Workshop Collaborative Information Retrieval. June 2008
[32].Golovchinsky G., Qvarfordt, P. & Pickens, J. Collaborative information seeking. IEEE Computer,2009,42(3).
[33].Gray B. Collaborating:Finding Common Ground for Multiparty Problems. San Francisco: Jossey-Bass,1989:5.
[34].Gutwin, C., and Greenberg, S. The mechanics of collaboration:Developing low cost usability evaluation methods for shared workspaces. IEEE 9th International Workshop on Enabling Technologies:Infrastructure for Collaborative Enterprises (WETICE'00).14-16 June 2000.
[35].Halvey, M., et al. An asynchronous collaborative search system for online video search. Information Processing and Management,2010
[36].Hansen P, Jarvelin K. Collaborative Information Retrieval in an information-intensive domain. Information Processing and Management,2005,41:1101-1119
[37].Hars A, Ou S. Working for Free? Motivations for Participating in Open-Source Projects. International Journal of Electronic Commerce,2002,6:25-39.
[38].Hilligoss B, Rieh S Y. Developing a unifying framework of credibility assessment:construct, heuristics, and interaction in context. Information Processing and Management,2008, 44(4):1467-1484
[39].Hussain F K, Chang E. An Overview of the Interpretations of Trust and Reputation. The Third Advanced International Conference on Telecommunications (AICT07),2007:30
[40].http://baike.baidu.com.2011/7/25访问
[41].http://cn.alexa.com/siteinfo/wikipedia.org.2011/7/25访问
[42].http://news.xinhuanet.com/society/2008-04/07/content_7931481.htm新华网,2008-4-17.
[43].http://www.baidu.com/search/baike_help.html#编辑原则,2011/7/15访问
[44]. http://www.baidu.com/search/baike_help.html#编辑原则,2011/7/15访问
[45].http://zh.wikipedia.org/wiki/Wikipedia:V,2011/5/4访问
[46].http://zh.wikipedia.org/wiki/Wikipedia:V,2011/5/4访问
[47]. Huang C H, Tsai P Y. Applying Evolution Computation Model to the Development and Transition of Virtual Community under Web2.0[G]//J. Mehnen et al. (Eds.):Applications of Soft Computing, AISC 58. Berlin Heidelberg:Springer-Verlag,2009:171-180.
[48].J(?)sang A, Ismail R, Boyd C. A survey of trust and reputation systems for online service provision. Decision Support Systems,2007(43):618-644
[49].Javanmardi S, Lopes C V. Modeling trust in collaborative information systems. International Conference on Collaborative Computing:Networking, Applications and Worksharing, 2007:299-302.
[50].Jonassen D H, Murphy L R. Activity theory as a framework for designing constructivist learning environments//Educational Technology, Research and Development. Washington: 1999,47:61-79.
[51]. Jones, Q. Virtual-communities, virtual settlements & cyber-archaeology:A theoretical outline. Journal of Computer Mediated Communication,1997,3(3).
[52].Kim, D.J. A trust-based consumer decision-making model in electronic commerce:The role of trust, perceived risk, and their antecedents. Decision Support Systems,2008,44(2).
[53].Kortemeyer,G, and Bauer, W. Multimedia Collaborative Content Creation (mc3)-The MSU LectureOnline System. Journal of Engineering Education,1999,88(4):405
[54].Kubiszewski I, Noordewier T, Costanza R. Perceived credibility of Internet encyclopedia. Computers & Education,2011,56:659-667.
[55].Kuhlthau, C C. Inside the search process:seeking meaning from the users perspective. Journal of the American Society for Information Science,1991,42(5):361-371.
[56].Lazinger, Susan S., Judit-Bar-LLan, Bluma c. Pertiz. Internet used by faculty members in various disciplines:A Comparative Case Study. Journal of American Society for Information Science,1997(6):508-518
[57]. London S. Collaboration and community. [2010-01-20]. http://www.scottlondon.com/reports/ppcc.html
[58].Lowry P B, Curtis A, Lowry M R. A Taxonomy of Collaborative Writing to Improve Empirical Research, Writing Practice, and Tool Development. Journal of Business Communication,2004,41(1):66-99.
[59].Maleewong K., Anutariya C., Wuwongse V. SAM:Semantic Argumentation Based Model for Collaborative Knowledge Creation and Sharing System//N.T. Nguyen, R. Kowalczyk, and S.-M. Chen (Eds.):ICCCI 2009, LNAI 5796,2009:75-86.
[60].Meola M. Chucking the checklist:A contextual approach to teaching undergraduates Web-site evaluation. Libraries and the Academy,2004,4(3),331-344.
[61].Metzger M J. Making Sense of Credibility on the Web:Models for Evaluating Online Information and Recommendations for Future Research. Journal of the American Society for Information Science and Technology,2007,58(13):2078-2091
[62].Morris, M.R. and Teevan, J. Understanding Groups' Properties as a Means of Improving Collaborative Search Systems. In Proceedings of the Workshop on Collaborative Information Retrieval. Pittsburgh, PA,2008.
[63].Mui L, M Mohtashemi, A Halberstadt. A Computational Model of Trust and Reputation. Proceedings of the 35th Annual Hawaii International Conference on System Sciences,2002
[64].Mundie C, de Vries P, Haynes P, Corwine M. Trustworthy computing. Microsoft White Paper, 2002.http://download.microsoft.com/download/a/f/2/af22fd56-7f19-47aa-8167-4bl d73cd3c5 7/twc mundie.doc
[65].Nakakoji K, Yamamoto Y, Nishinaka Y, etc. Evolution Patterns of Open-Source Software Systems and Communities. Proceedings of International Workshop on Principles of Software Evolution (IWPSE 2002), Orlando, FL,2002:76-85.
[66].Neus A. Managing Information Quality in Virtual Communities of Practice//In:Pierce, E.& Katz-Haas, R. (Eds.) Proceedings of the 6th International Conference on Information Quality at MIT. Boston, MA:Sloan School of Management,2001
[67].Noel S, Robert J M. How the Web is used to support collaborative writing. Behaviour& Information Technology,2003,22:245-262.
[68].Okoli C, Oh W. Investigating recognition-based performance in an open content community: A social capital perspective. Information and Management,2007,44 (3):240-252
[69].Okoli C. Beyond Open Source Software:An Introduction to Researching Open Content and Wikipedia. Sprouts:Working Papers on Information Systems,2009,9(64). http://sprouts.aisnet.org/9-64
[70].Petty R E, Cacioppo J T. The elaboration of likelihood model of persuasion. Advances in Experimental social Psychology,1986,19:123-205.
[71].Poltrock, S., Dumais, S., Fidel, R., Bruce, H., Pejtersen, A.M. Information seeking and sharing in design teams. ACM conference on supporting group work (GROUP'03). ACM, 2003.
[72].Posner, I R, Baecker R M. How people write together. Paper presented at the Twenty-fifth Hawaii International Conference on System Sciences, Kauai, Hawaii,1992.
[73].Raya Fidel, Annelise Mark Pejtersen and Bryan Cleal, Harry Bruce. A Multidimensional Approach to the Study of Human-Information Interaction:A Case Study of Collaborative Information Retrieval. Journal of the American Society for Information Science and Technology,2004,55(11):939-953.
[74]. Read B. Middlebury College History Department limits students use of Wikipedia[EB/OL]. http://chronicle.com/article/Middlebury-College-History/23736,2006-2-16.
[75].Reddy M C, Jansen B J. A model for understanding collaborative information behavior in context:A study of two healthcare teams. Information Processing and Management 44 (2008) 256-273
[76].Resnick P, R. Zeckhauser, R. Friedman, K. Kuwabara, Reputation systems. Communications of the ACM,2000,43(12):45-48.
[77].Ridings C., D.Gefen, B.Arinze. Some antecedents and effects of trust in virtual communities.Journal of Strategic Information Systems,2002,11(3/4):271-295.
[78]. Ridings, C. M., Gefen, D. Virtual community attraction:Why people hang out online. Journal of Computer-Mediated Communication,2004,10(1).
[79].Rieh S Y. Judgment of information quality and cognitive authority in the Web. Journal of the American Society for Information Science and Technology,2002,53(2),145-161.
[80].Shah, C. Lessons and Challenges for Collaborative Information Seeking (CIS) Systems Developers. In the Proceedings of Collaborative Information Behavior Workshop at GROUP2009. Sanibel Island, Florida,2009
[81]. Sharples M. Adding a little structure to collaborative writing. CSCW in practise:An introduction and case studies.1993.
[82].Stallman R M. Copyright and Globalization in the Age of Computer Networks. In Free Software, Free Society:selected essays of Richard M. Stallman,1st ed. Boston:Free Software Foundation,2002:133-154. http://www.gnu.org/philosophy/copyright-and-globalization.html.
[83].Stratton C R. Collaborative Writing in the Workplace. IEEE Transactions on Professional Communication,1989,32(3),178-182.
[84].Stvilia B, Al-Faraj A, Yi Y J. Issues of cross-contextual information quality evaluation-The case of Arabic, English, and Korean Wikipedias. Library & Information Science Research, 2009,31:232-239.
[85].Stvilia B, Gasser L. An activity theoretic model for information quality change. First Monday,2008,13(4).
[86].Stvilia B, Twidale M B, Smith L C, Gasser L. Information quality work organization in Wikipedia. Journal of the American Society for Information Science and Technology,2008, 59:983-1001.
[87].Surowiecki, J. The wisdom of crowds. New York:Random House,2005.
[88].Surowiecki, J. Wisdom of Crowds:Why the Many Are Smarter Than the Few and How Collective Wisdom Shapes Business, Economies, Societies and Nations. Doubleday Publishing,2004.
[89].The Apache Software Foundation. [2010-07-20]. http://community.apache.org/
[90].Toms E G Information Interaction:Providing a Framework for Information Architecture. Journal of the American Society for Information Science and Technology,2002,53 (10): 855-862
[91].Tosic M., Nejkovic V. Collaborative Wiki Tagging//S. Schaffert et al. (Eds.):Networked Knowledge-Networked Media, SCI 221. Springer Berlin/Heidelberg,2009:141-153.
[92].Viegas F B, Wattenberg M, Kriss J, etc. Talk Before You Type:Coordination in Wikipedia. Proceeding of the 40th Hawaii International Conference on System Sciences,2007.
[93].Viegas F, Wattenberg M, Dave K. Studying Cooperation and Conflict between Authors with history flow Visualizations. In Proceedings of SIGCHI,2004.
[94].Vord R V. Distance students and online research:Promoting information literacy through media literacy. Internet and Higher Education,2010,13:170-175.
[95].Wagner C, Prasarnphanich P. Innovating Collaborative Content Creation:The Role of Altruism and Wiki Technology. Proceedings of the 40th Hawaii International Conference on System Sciences.2007
[96].Wang Y, Vassileva J. Bayesian network-based trust model. IEEE/WIC International Conference on Web Intelligence, October 2003.
[97].Wasko M M, S. Faraj. "Why Should I Share? Examining Social Capital and Knowledge Contribution in Electronic Networks of Practice", MIS Quarterly (29:1),2005, pp.35-57.
[98].Weth C, Bohm K. A Unifying Framework for Behavior-Based Trust Models[G]//R. Meersman, Z. Tari et al. (Eds.):OTM 2006, LNCS 4275,2006:444-461.
[99].Wikipedia:Neutral Point of View. [2010-07-28]. http://en.wikipedia.org/wiki/NPOV
[100]. Wikipedia:About. [2010-07-15]. http://en.wikipedia.org/wiki/Wikipedia:About.
[101]. Wilson T D. Human information behavior. Informing science,2000,3(2).
[102]. Wilson T D. A re-examination of information seeking behaviour in the context of activity theory. Information Research,2006(6).
[103]. Wilson T D. Activity theory and information seeking. Annual Review of Information Science and Technology,2008,42:119-162.
[104]. Wilson M L, Schraefel M C. Evaluating Collaborative Information Seeking Interfaces with a Search-Oriented Inspection Method and Re-framed Information Seeking Theory. Information Processing & Management,2009.
[105]. Ye Y W, Kishida K. Toward an Understanding of the Motivation of Open Source Software Developers. Proceedings of 2003 International Conference on Software Engineering (ICSE2003), Portland, OR, May 3-10,2003.
[106]. Zeng H, Alhossaini M, Fikes R, etc. Mining revision history to assess trustworthiness of article fragments. Proceedings of the 2006 International Conference on Collaborative Computing:Networking, Applications and Worksharing, October 2006.
[107]. Zhang J. The implication of metaphors in information visualization [G]//Visualization in information retrieval. Springer Berlin Heidelberg,2008.
[108]. Zhou N, Stahl G Towards Building a Math Discourse Community:Investigating Collaborative Information Behavior//D. Schuler (Ed.):Online Communities and Social Comput., HCII 2007, LNCS 4564,2007:509-518.
[109]. 包敦安,董人海.基于ELM的网络评论信息可信性影响因素研究.现代管理科学,2009(11)：107-109.
[110]. 比尔盖茨.未来时速--数字神经系统与商务新思维.北京大学出版社,1999.
[111]. 蔡斯博,邹艳珍,邵凌霜等.一种支持软件资源可信评估的框架.软件学报,2010,21(2)：359-372
[112]. 褚峻,张咏,巢乃鹏.信息查寻活动中的合作行为与合作式信息查寻.大学图书馆学报,2003(4)
[113]. 邓发云.基于用户需求的信息可信度研究.博士学位论文：西南交通大学,2006.
[114]. 邓胜利,张敏.基于用户体验的交互式信息服务模型构建.中国图书馆学报,2009(1)
[115]. 邓晓衡,卢锡城,王怀民iVCE中基于可信评价的资源调度研究.计算机学报,2007,30(10)
[116]. 董献洲.信息可视化视图的特征认知模式研究.情报科学,2008,26(7)
[117]. 高祖新,陈华钧.概率论与数理统计.南京大学出版社,1995：161.
[118]. 胡吕平,胡吉明,邓胜利.基于Web 2.0的用户群体交互分析及其服务拓展研究.中国图书馆学报,2009(5)
[119].何保建.对虚拟社区管理的透视分析.学术交流,2005(10).
[120].李晓静.中国大众媒介可信度指标研究.博士学位论文：复旦大学,2005.
[121].林闯,彭雪海.可信网络研究.计算机学报,2005,28(5)：751-758
[122].林闯,田立勤,王元卓.可信网络中用户行为可信的研究.计算机研究与发展,2008,45(12)
[123].罗志成,关婉湫,张勤.维基百科与百度科比较分析.情报理论与实践,2009(4)
[124]. 吕巾娇,刘美凤,史力范.活动理论的发展脉络与应用探析.现代教育技术,2007(1).
[125]. 马费成,夏永红.基于CAS理论的维基百科序化机制研究.图书馆论坛,2008(6)
[126]. 毛波,尤雯雯.虚拟社区成员分类模型.清华大学学报(自然科学版),2006,46(S1)：1070-1073.
[127]. 任立肖.网络用户信息行为计量研究.兰州：兰州大学,2006
[128]. 沈吕祥,张焕国,王怀民,等.可信计算的研究与发展.中国科学：信息科学,2010,40(2)： 139-166
[129]. 束定芳.论隐喻与明喻的结构及认知特点.外语教学与研究,2003,(2)
[130]. 司联合,张伟平.论句子语义学的研究.河南理工大学学报(社会科学版),2005(4)
[131]. 孙春华,刘业政.网络口碑信息可信度的实验研究.财经论丛,2009(4)
[132]. 孙曙迎.消费者网络信息可信度感知影响因素的实证研究.北京理工大学学报,2008(6)
[133]. 孙彦,李纾,殷晓莉.决策与推理的双系统一启发式系统和分析系统.心理科学进展,2007,15(5)：721-845.
[134]. 汤志伟,彭志华,张会平.网络公共危机信息可信度的实证研究.情报杂志,2010,29(7)
[135]. 唐泰普斯科特,安东尼D威廉姆斯.维基经济学.中国青年出版社,2007.
[136]. 田莹颖,吴克文,赵宇翔,朱庆华.维基百科信息内容评议模式及其对传统期刊评议的借鉴.情报理论与实践,2010(12)
[137]. 王玫,朱云龙,何小贤.群体智能研究综述.计算机工程,2005(11)
[138]. 维基百科http://zh.wikipedia.org/.2011/7/25访问
[139]. 徐琳.网络口碑信息可信度影响因素的实证研究.财贸研究,2007.5
[140]. 徐蔓.准在撼动维基白‘科.互联网周刊,2008-1-5.
[141]. 杨堤雅.网际网路虚拟社群成员之角色与沟通互动之探讨.台湾：中正大学企业管理研究所,2000.
[142]. 张明新.网络信息的可信度研究：网民的视角.新闻与传播研究,2007,12(2)
[143]. 张喜征.基于虚拟社区的网络信任管理模式研究[J].情报杂志,2006(4)
[144]. 张薇薇.基于隐喻视角的信息可视化系统比较研究.图书情报工作,2009(14)
[145]. 张薇薇.社群环境下用户协同信息行为研究述评.中国图书馆学报,2010(4)
[146]. 赵玲,鲁耀斌,邓朝华.虚拟社区信任与社区成员购买行为研究.工业工程与管理,2009(3)
[147]. 赵宇翔,朱庆华.Web 2.0环境下影响用户生成内容的主要动因研究.中国图书馆学报,2009,(5)
[148]. 赵宗金.心理学的意义空间--一种隐喻视角的考察.长春：吉林大学,2008
[149]. 周庆山,王京山.维基百科信息自组织模式探析.情报资料工作,2007(2)
[150]. 周涛,鲁耀斌.基于社会影响理论的虚拟社区用户知识共享行为研究.研究与发展管理, 2009(4)
2 Stvilia B, Twidale M B, Smith L C, Gasser L. Information quality work organization in Wikipedia. Journal of the American Society for Information Science and Technology,2008,59:983-1001.
3 维基百科.ittp://zh.wikipedia.org/.2011/7/25访问
4 http://cn.alexa.com/siteinfo/wikipedia.org.2011/7/25访问
5 徐蔓.谁在撼动维基百科.互联网周刊,2008-1-5.
6 http://baike.baidu.com.2011/7/25访问
7 Okoli C. Beyond Open Source Software:An Introduction to Researching Open Content and Wikipedia. Sprouts: Working Papers on Information Systems,2009,9(64). http://sprouts.aisnet.org/9-64
1 Stallman R M. Copyright and Globalization in the Age of Computer Networks. In Free Software, Free Society: selected essays of Richard M. Stallman,1 st ed. Boston:Free Software Foundation,2002:133-154. http://www.gnu.org/philosophy/copyright-and-globalization.html.
2 Cheliotis, Giorgos. From open source to open content:Organization, licensing and decision processes in open cultural production. Decision Support Systems,2009,47(3):229-244.
3 Arazy O, Stroulia E, Ruecker S, etc. Recognizing contributions in wikis:Authorship categories, algorithms, and visualizations. Journal of the American Society for Information Science and Technology,2010,61(6):1166-1179
4 唐·泰普斯科特,安东尼·D·威廉姆斯.维基经济学——大规模协作如何改变一切.中国青年出版社,2007：84
3 Read B. Middlebury College History Department limits students use of Wikipedia. http://chronicle.com/article/Middlebury-College-History/23736,2006-2-16.
6 http://news.xinhuanet.com/society/2008-04/07/content_7931481.htm.新华网,2008-4-17.
7 Stvilia B, Twidale M B, Smith L C, Gasser L. Information quality work organization in Wikipedia. Journal of the American Society for Information Science and Technology,2008,59:983-1001
1 Metzger M J. Making Sense of Credibility on the Web:Models for Evaluating Online Information and Recommendations for Future Research. Journal of the American Society for Information and Technology,2007, 58(13):2078-2091.
2 Dondio P, Barrett S. Computational Trust in Web Content Quality:A Comparative Evaluation on the Wikipedia Project. Informatica,31 (2007) 151-160.
3 Weth C, Bohm K. A Unifying Framework for Behavior-Based Trust Models. In R. Meersman, Z. Tari et al. (Eds.):OTM 2006, LNCS 4275, pp.444-461,2006.
4 Mundie C, de Vries P, Haynes P, Corwine M. Trustworthy computing. Microsoft White Paper,2002.
5 林闯,彭雪海.可信网络研究.计算机学报,2005,28(5)：751—758
6 林闯,田立勤,王元卓.可信网络中用户行为可信的研究.计算机研究与发展,2008,45(12)
7 Cheliotis, Giorgos. From open source to open content:Organization, licensing and decision processes in open cultural production. Decision Support Systems,2009,47(3):229-244.
8 Okoli C. Beyond Open Source Software:An Introduction to Researching Open Content and Wikipedia. Sprouts: Working Papers on Information Systems,2009,9(64). http://sprouts.aisnet.org/9-64
1 Hansen P, Jarvelin K. Collaborative Information Retrieval in an information-intensive domain. Information Processing and Management,2005,41:1101-1119
2 London S. Collaboration and community. [2010-01-20]. http://www.scottlondon.com/reports/ppcc.html
3 Gray B. Collaborating:Finding Common Ground for Multiparty Problems. San Francisco:Jossey-Bass,1989:5.
4 Chrislip D D, Larson C E. Collaborative Leadership:How Citizens and Civic Leaders Can Make a Difference. San Francisco:Jossey-Bass,1994:5.
5 Foley C, Smeaton A F. Division of labour and sharing of knowledge for synchronous collaborative information retrieval. Information Processing and Management,2010,46(6):762-772.
6 Cole P, Nast-Cole J. A primer on group dynamics for groupware developers//edited by D. Marca and G Bock. Groupware:Software for Computer-Supported Cooperative Work. Los Alamitos, CA:IEEE Computer Society Press.1992:44-57.
7 Gutwin C, Greenberg S. The mechanics of collaboration:Developing low cost usability evaluation methods for shared workspaces. IEEE 9th International Workshop on Enabling Technologies:Infrastructure for Collaborative Enterprises (WETICE'00).14-16 June 2000.
8 Golovchinsky G, Qvarfordt P, Pickens J. Collaborative information seeking. IEEE Computer,2009,42(3).
9 Golovchinsky G, Pickens J, Back M. A Taxonomy of Collaboration in Online Information Seeking. Proc. Int'l Workshop Collaborative Information Retrieval. June 2008
10 Halvey M, et al. An asynchronous collaborative search system for online video search. Information Processing and Management,2010.
11 Morris M R, Teevan J. Understanding Groups' Properties as a Means of Improving Collaborative Search Systems. In Proceedings of the Workshop on Collaborative Information Retrieval. Pittsburgh, PA,2008.
1 Wilson M L, Schraefel M C. Evaluating Collaborative Information Seeking Interfaces with a Search-Oriented Inspection Method and Re-framed Information Seeking Theory. Information Processing & Management,2009
2 Fidel R, Pejtersen A M, Cleal B, Bruce H. A Multidimensional Approach to the Study of Human-Information Interaction:A Case Study of Collaborative Information Retrieval. Journal of the American Society for Information Science and Technology,2004,55(11):939-953.
3 Shah C. Lessons and Challenges for Collaborative Information Seeking (CIS) SystemsDevelopers. In the Proceedings of Collaborative Information Behavior Workshop at GROUP2009. Sanibel Island, Florida,2009
4 Foster J. Collaborative information seeking and retrieval. Annual Review of Information Science and Technology,2006,40 (1):329-356.
5 褚峻,张咏,巢乃鹏.信息查寻活动中的合作行为与合作式信息查寻.大学图书馆学报,2003(4)
6 Kuhlthau C C. Inside the search process:seeking meaning from the users perspective. Journal of the American Society for Information Science,1991,42(5):361-371.
1 Galegher J, Kraut R E. Computer-mediated communication for intellectual teamwork:A field experiment in group writing. In CSCW '90:Proceedings of the 1990 ACM conference on computer-supported cooperative work. New York. USA:ACM.1990:65-78
2 Poltrock S, Dumais S, Fidel R, Bruce H, Pejtersen A M. Information seeking and sharing in design teams. ACM conference on supporting group work (GROUP'03). ACM,2003
3 Reddy M C, Jansen B J. A model for understanding collaborative information behavior in context:A study of two healthcare teams. Information Processing and Management 44 (2008) 256-273
4 Wilson T D. Human information behavior. Informing science,2000,3(2)
5 Hansen P, Jarvelin K. Collaborative Information Retrieval in an information-intensive domain. Information Processing and Management,2005,41:1101-1119
6 任立肖.网络用户信息行为计量研究.兰州：兰州大学,2006
1 Hansen P, Jarvelin K. Collaborative Information Retrieval in an information-intensive domain. Information Processing and Management,2005,41:1101-1119
2 Huang C H, Tsai P Y. Applying Evolution Computation Model to the Development and Transition of Virtual Community under Web2.0//J. Mehnen et al. (Eds.):Applications of Soft Computing, AISC 58. Berlin Heidelberg: Springer-Verlag,2009:171-180.
Jones Q. Virtual-communities, virtual settlements & cyber-archaeology:A theoretical outline. Journal of Computer Mediated Communication,1997,3(3).
4 Ridings C M, Gefen D. Virtual community attraction:Why people hang out online. Journal of Computer-Mediated Communication,2004,10(1).
5 Surowiecki J. Wisdom of Crowds:Why the Many Are Smarter Than the Few and How Collective Wisdom Shapes Business, Economies, Societies and Nations. Doubleday Publishing,2004.
6 Surowiecki J. The wisdom of crowds. New York:Random House.2005
7 Arazy O, Morgan W, Patterson R. Wisdom of the crowds:Decentralized knowledge construction in Wikipedia. 16th annual workshop on information technologies and systems,2006. [2010-01-12]. http://papers.ssrn.com/sol3/papers.cfm?abstract_id= 1025624
8 Shah C. Lessons and Challenges for Collaborative Information Seeking (CIS) Systems Developers. In the Proceedings of Collaborative Information Behavior Workshop at GROUP2009. Sanibel Island, Florida,2009
1 Zhou N, Stahl G Towards Building a Math Discourse Community:Investigating Collaborative Information Behavior//D. Schuler (Ed.):Online Communities and Social Comput., HCII 2007, LNCS 4564,2007:509-518.
2 Lowry P B, Curtis A, Lowry M R. A Taxonomy of Collaborative Writing to Improve Empirical Research, Writing Practice, and Tool Development. Journal of Business Communication,2004,41 (1), pp.66-99.
3 Maleewong K, Anutariya C, Wuwongse V. SAM:Semantic Argumentation Based Model for Collaborative Knowledge Creation and Sharing System//N.T. Nguyen, R. Kowalczyk, and S.-M. Chen (Eds.):ICCCI 2009, LNA1 5796,2009:75-86.
4 Tosic M, Nejkovic V. Collaborative Wiki Tagging//S. Schaffert et al. (Eds.):Networked Knowledge-Networked Media, SCI 221. Springer Berlin/Heidelberg,2009:141-153.
5 Kortemeyer Q Bauer W. Multimedia Collaborative Content Creation (mc3)-The MSU LectureOnline System. Journal of Engineering Education,1999,88(4):405
1 Wagner C, Prasarnphanich P. Innovating Collaborative Content Creation:The Role of Altruism and Wiki Technology. Proceedings of the 40th Hawaii International Conference on System Sciences.2007
2 Wasko M M, Faraj S. "Why Should I Share? Examining Social Capital and Knowledge Contribution in Electronic Networks of Practice", MIS Quarterly,2005,29 (1):35-57.
3 Stratton C R. Collaborative Writing in the Workplace. IEEE Transactions on Professional Communication,1989, 32(3),178-182.
4 Lowry P B, Curtis A, Lowry M R.A Taxonomy of Collaborative Writing to Improve Empirical Research, Writing Practice, and Tool Development. Journal of Business Communication,2004,41(1), pp.66-99.
3 Stvilia B, Twidale M B, Smith L C, Gasser L. Information quality work organization in Wikipedia. Journal of the American Society for Information Science and Technology,2008,59:983-1001
6 Posner I R, Baecker R M. How people write together. Paper presented at the Twenty-fifth Hawaii International Conference on System Sciences, Kauai, Hawaii,1992
7 Sharples M. Adding a little structure to collaborative writing. CSCW in practise:An introduction and case studies.1993.
8 Noel S, Robert J M. How the Web is used to support collaborative writing. Behaviour & Information Technology, 2003,22:245-262.
1 Metzger M J. Making Sense of Credibility on the Web:Models for Evaluating Online Information and Recommendations for Future Research. JASIST.2007
2 Azzedin F, Maheswaran M. Evolving and Managing Trust in Grid Computing Systems. IEEE Canadian Conference on Electrical & Computer Engineering, May 2002
3 Dondio P, Barrett S. Computational Trust in Web Content Quality:A Comparative Evalutation on the Wikipedia Project. Informatica,2007,31:151-160.
4 Mui L, Mohtashemi M, Halberstadt A. A Computational Model of Trust and Reputation. Proceedings of the 35th Annual Hawaii International Conference on System Sciences,2002
5 Hilligoss B, Rieh, S Y. Developing a unifying framework of credibility assessment:Construct, heuristics, and interaction in context. Information Processing and Management,2008,44(4)
6 Flanagin A J, Metzger M J. Digital media and youth:Unparalleled opportunity and unprecedented responsibility. In M.Metzger & A. Flanagin (Eds.), Digital media, youth, and credibility. Cambridge, MA:MIT Press,2007:5-28
7 邓晓衡,卢锡城,王怀民.iVCE中基于可信评价的资源调度研究.计算机学报,2007,30(10)
8 蔡斯博,邹艳珍.邵凌霜等.一种支持软件资源可信评估的框架.软件学报,2010,21(2)：359-372
9 Chen, T-Y. Advanced multi-phase trust evaluation model for collaboration between coworkers in dynamic virtual project teams. Expert Systems with Applications,2009,36(8).
10 Kim D J. A trust-based consumer decision-making model in electronic commerce:The role of trust, perceived risk, and their antecedents. Decision Support Systems,2008,44(2).
11 Wang Y, Vassileva J. Bayesian network-based trust model. IEEE/WIC International Conference on Web Intelligence, October 2003.
1 李晓静.中国大众媒介可信度指标研究.博士学位论文：复口.大学,2005.
2 邓发云.基于用户需求的信息可信度研究.博士学位论文：西南交通大学,2006.
3 Metzger M J. Making Sense of Credibility on the Web:Models for Evaluating Online Information and Recommendations for Future Research. Journal of the American Society for Information Science and Technology, 2007,58(13):2078-2091
4 Metzger M J. Making Sense of Credibility on the Web:Models for Evaluating Online Information and Recommendations for Future Research. Journal of the American Society for Information Science and Technology, 2007,58(13):2078-2091
5 Flanagin A J, Metzger M J. The role of site features, user attributes, and information verification behaviors on the perceived credibility of web-based information. New Media Society,2007,9(2):319-342
6 张明新.网络信息的可信度研究：网民的视角.新闻与传播研究,2007,12(2)
7 汤志伟,彭志华,张会平.网络公共危机信息可信度的实证研究.情报杂志,2010,29(7)
8 Fogg B J. Persuasive technology:Using computers to change what we think and do. San Francisco:Kaufmann, 2003.
9 Rieh S Y. Judgment of information quality and cognitive authority in the Web. Journal of the American Society for Information Science and Technology,2002,53(2),145-161.
10 孙曙迎.消费者网络信息可信度感知影响因索的实证研究.北京理工大学学报,2008(6)
11 包敦安,董大海.基于ELM的网络评论信息可信影响因素研究.现代管理科学,2009(11)：107-109
12 徐琳.网络口碑信息可信度影响因素的实证研究.财贸研究,2007.5
13 孙春华,刘业政.网络口碑信息可信度的实验研究.财经论从.2009(4)
1 Neus A. Managing Information Quality in Virtual Communities of Practice. In:Pierce, E.& Katz-Haas, R. (Eds.) Proceedings of the 6th International Conference on Information Quality at MIT. Boston, MA,2001
2 周庆山,王京山.维基百科信息自组织模式探析.情报资料工作,2007(2)
3 马费成,夏永红.基于CAS理论的维基百科序化机制研究.图书馆论坛,2008(6)
4 Stvilia B, Twidale M B, Smith L C, Gasser L. Information quality work organization in Wikipedia. Journal of the American Society for Information Science and Technology,2008,59:983-1001.
5 Stvilia B, AI-Faraj A, Yi Y J. Issues of cross-contextual information quality evaluation-The case of Arabic English, and Korean Wikipedias. Library & Information Science Research,2009,31:232-239.
6 Viegas F, Wattenberg M, Dave K.. Studying Cooperation and Conflict between Authors with history flow Visualizations. In Proceedings of SIGCHI,2004.
7 Braendle A. Many cooks don't spoil the broth. Proceedings of Wikimania 2005-The First International Wikimedia Conference. Frankfurt, Germany,2005
8 Giles J. Internet Encyclopedias Go Head to Head. Nature.2005,438:900-901
9 Chesney T. An empirical examination of Wikipedia's credibility. First Monday,2006,11(11).
10 Dondio P, Barrett S, Weber S. Calculating the trustworthiness of Wikipedia articles using DANTE methodology. IADIS International Conference e-Society,2006
11 Dondio P, Barrett S. Computational Trust in Web Content Quality:A Comparative Evalutation on the Wikipedia Project. Informatica,2007,31:151-160.
12 Zeng H, Alhossaini M, Fikes R, etc. Mining revision history to assess trustworthiness of article fragments. Proceedings of the 2006 International Conference on Collaborative Computing:Networking, Applications and Worksharing, October 2006.
1 Javanmardi S, Lopes C V. Modeling trust in collaborative information systems. International Conference on Collaborative Computing:Networking, Applications and Worksharing,2007:299-302.
2 Adler B T. Assigning Trust to Wikipedia Content. Technical Report UCSC-CRL-07-09,2007
Adler B T, Alfaro L de. A content-driven reputation system for the wikipedia. In Proc. of the 16th Intl. World Wide Web Conf. (WWW 2007), New York:ACM Press,2007.
4 Arazy O, Stroulia E, Ruecker S, etc. Recognizing contributions in wikis:Authorship categories, algorithms, and visualizations. Journal of the American Society for Information Science and Technology,2010,61(6):1166-1179
1 Lowry P B, Curtis A, Lowry, M R. A Taxonomy of Collaborative Writing to Improve Empirical Research, Writing Practice, and Tool Development. Journal of Business Communication,2004,41(1):66-99.
2 Noel S, Robert J M. How the Web is used to support collaborative writing. Behaviour & Information Technology, 2003,22:245-262.
3 Posncr, I R, Baeckcr R M. How people write together. Paper presented at the Twenty-fifth Hawaii International Conference on System Sciences, Kauai, Hawaii,1992.
4 Sharples M. Adding a little structure to collaborative writing. CSCW in practise:An introduction and case studies,1993.
1 张薇薇.社群环境下用户协同信息行为研究述评.中国图书馆学报,2010(4)
1 Engestrom Y. Learning by expanding:an activity-theoretical approach to developmental research. Helsinki: Orienta-Konsultit,1987.
3 Bedny G Z, Seglin M H, Meister D. Activity theory:history, research and application. Theoretical Issues in Ergonomic Science,2000,1(2):168-206.
4 Wilson T D. Activity theory and information seeking. Annual Review of Information Science and Technology, 2008,42:119-162.
1 Stvilia B, Gasser L. An activity theoretic model for information quality change. First Monday,2008,13(4).
2 Wilson T D. A re-examination of information seeking behaviour in the context of activity theory. Information Research,2006(6).
3 Lazinger, Susan S, Judit-Bar-LLan, Bluma c. Pertiz. Internet used by faculty members in various disciplines:A Comparative Case Study. Journal of American Society for Information Science,1997(6):508-518
4 Cole P, Nast-Cole J. A primer on group dynamics for groupware developers//edited by D. Marca and G. Bock. Groupware:Software for Computer-Supported Cooperative Work. Los Alamitos, CA:IEEE Computer Society Press,1992:44-57.
5 Jonassen D H, Murphy L R. Activity theory as a framework for designing constructivist learning environments// Educational Technology, Research and Development. Washington:1999,47:61-79.
6 吕巾娇,刘美凤,史力范.活动理论的发展脉络与应用探析.现代教育技术,2007(1)
7 Wikipedia:About. [2010-07-15]. http://en.wikipedia.org/wiki/Wikipedia:About.
1 The Apache Software Foundation. [2010-07-20]. http://community.apache.org/
2 赵宇翔,朱庆华.Web 2.0环境下影响用户生成内容的主要动因研究.中国图书馆学报,2009,(5)
3 Hars A, Ou S. Working for Free? Motivations for Participating in Open-Source Projects. International Journal of Electronic Commerce,2002,6:25-39.
4 Ye Y W, Kishida K. Toward an Understanding of the Motivation of Open Source Software Developers. Proceedings of 2003 International Conference on Software Engineering (ICSE2003), Portland, OR, May 3-10, 2003.
5 Wagner C, Prasarnphanich P. Innovating Collaborative Content Creation:The Role of Altruism and Wiki Technology. Proceedings of the 40th Hawaii International Conference on System Sciences,2007
1 Fjeld M, Lauche K, Bichsel M, etc. Physical and Virtual Tools:Activity Theory Applied to the Design of Groupware. Computer Supported Cooperative Work,2002,11:153-180.
1 Neus A. Managing Information Quality in Virtual Communities of Practice//In:Pierce, E.& Katz-Haas, R. (Eds.) Proceedings of the 6th International Conference on Information Quality at MIT. Boston, MA:Sloan School of Management,2001
2 Nakakoji K, Yamamoto Y, Nishinaka Y, etc. Evolution Patterns of Open-Source Software Systems and Communities. Proceedings of International Workshop on Principles of Software Evolution (IWPSE 2002), Orlando, FL,2002:76-85.
3 Ye Y W, Kishida K. Toward an Understanding of the Motivation of Open Source Software Developers. Proceedings of 2003 International Conference on Software Engineering (ICSE2003), Portland, OR, May 3-10, 2003.
4 Wagner C, Prasarnphanich P. Innovating Collaborative Content Creation:The Role of Altruism and Wiki Technology. Proceedings of the 40th Hawaii International Conference on System Sciences,2007
1 Stvilia B, Twidale M B, Smith L C, etc. Information quality work organization in Wikipedia. Journal of the American Society for Information Science and Technology,2008,59:983-1001.
2 吕巾娇,刘美凤,史力范.活动理论的发展脉络与应用探析.现代教育技术,2007(1)
3 Stvilia B, Gasser L. An activity theoretic model for information quality change. First Monday,2008,13(4).
4 Wilson T D. A re-examination of information seeking behaviour in the context of activity theory. Information Research,2006(6).
1 Field M, Lauche K, Bichsel M, etc. Physical and Virtual Tools:Activity Theory Applied to the Design of Groupware. Computer Supported Cooperative Work,2002,11:153-180.
2 Ye Y W, Kishida K. Toward an Understanding of the Motivation of Open Source Software Developer Proceedings of 2003 International Conference on Software Engineering (ICSE2003), Portland, OR, May 3-10, 2003.
3 Stvilia B, Twidale M B, Smith L C, etc. Information quality work organization in Wikipedia. Journal of the American Society for Information Science and Technology,2008,59:983-1001.
4 Wikipedia:Neutral Point of View. [2010-07-28]. http://en.wikipedia.org/wiki/NPOV
1 Viegas F B, Wattenberg M, Kriss J, etc. Talk Before You Type:Coordination in Wikipedia. Proceeding of the 40th Hawaii International Conference on System Sciences,2007.
2 Braendle, A. Many cooks don't spoil the broth. Proceedings of Wikimania 2005-The First International Wikimedia Conference. Frankfurt, Germany,2005.
3 马费成,夏永红.基于CAS理论的维基百科序化机制研究.图书馆论坛,2008(6)
4 赵宇翔,朱庆华.Web 2.0环境下影响用户生成内容的主要动因研究.中国图书馆学报,2009,(5)
1 The Apache Software Foundation. [2010-07-201. http://community.apache.org/
2 Ye Y W, Kishida K. Toward an Understanding of the Motivation of Open Source Software Developers. Proceedings of 2003 International Conference on Software Engineering (ICSE2003), Portland, OR, May 3-10, 2003.
3 赵宇翔,朱庆华.Web 2.0环境下影响用户生成内容的主要动因研究.中国图书馆学报,2009,(5)
4 杨堤雅.网际网路虚拟社群成员之角色与沟通互动之探讨.台湾：国立中正大学企业管理研究所,2000.
5 毛波,尤雯雯.虚拟社区成员分类模型.清华大学学报(自然科学版),2006,46(S1)：1070-1073.
1杨堤雅.网际网路虚拟社群成员之角色与沟通互动之探讨.台湾：中正大学企业管理研究所，2000.
2 Ye Y W, Kishida K. Toward an Understanding of the Motivation of Open Source Software Developers. Proceedings of 2003 International Conference on Software Engineering (ICSE2003), Portland, OR, May 3-10, 2003.
1 Javanmardi S, Lopes C V. Modeling trust in collaborative information systems. International Conference on Collaborative Computing:Networking, Applications and Worksharing,2007:299-302.
2 Arazy O, Stroulia E, Ruecker S, etc. Recognizing contributions in wikis:Authorship categories, algorithms, and visualizations. Journal of the American Society for Information Science and Technology,2010,61 (6):1166-1179
3 Metzger M J. Making Sense of Credibility on the Web:Models for Evaluating Online Information and Recommendations for Future Research.JASIST,2007,58(13):2078-2091
4 Azzedin F, Maheswaran M. Evolving and Managing Trust in Grid Computing Systems. IEEE Canadian Conference on Electrical & Computer Engineering, May 2002
3 Dondio P, Barrett S. Computational Trust in Web Content Quality:A Comparative Evalutation on the Wikipedia Project. Informatica,2007,31:151-160.
6 Mui L, M Mohtashcmi, A Halberstadt. A Computational Model of Trust and Reputation. Proceedings of the 35th Annual Hawaii International Conference on System Sciences,2002
1 Weth C, Bohm K. A Unifying Framework for Behavior-Based Trust Models//R. Mecrsman, Z. Tari et al. (Eds.): OTM 2006, LNCS 4275,2006:444-461.
2 林闯,田立勤,王元卓.可信网络中用户行为可信的研究.计算机研究与发展,2008,45(12)
1 J(?)sang A, Ismail R, Boyd C. A survey of trust and reputation systems for online service provision. Decision Support Systems,2007(43):618-644
2 Wang Y, Vassileva J. Bayesian network-based trust model. IEEE/WIC International Conference on Web Intelligence, October 2003.
3 Weth C, Bohm K. A Unifying Framework for Behavior-Based Trust Models//R. Meersman, Z. Tari et al. (Eds.): OTM 2006, LNCS 4275,2006:444-461.
4 田莹颖,吴克文,赵宇翔,朱庆华.维基百科信息内容评议模式及其对传统期刊评议的借鉴.情报理论与实践,2010(12)
1 Dondio P, Barrett S. Computational Trust in Web Content Quality:A Comparative Evalutation on the Wikipedia Project. Informatica,2007,31:151-160.
2 Zeng H, Alhossaini M, Fikes R, etc. Mining revision history to assess trustworthiness of article fragments. Proceedings of the 2006 International Conference on Collaborative Computing:Networking, Applications and Worksharing, October 2006.
3 Adler B T. A Content-Driven Reputation System for the Wikipedia. Proc. of the 16th Intl. World Wide Web Conf. (WWW 2007). ACM Press,2007.
4 Adler B T. Assigning Trust to Wikipedia Content. Technical Report UCSC-CRL-07-09,2007.
5 王玫,朱云龙,何小贤.群体智能研究综述.计算机工程,2005(11)
6 Arazy O, Stroulia E, Ruecker S, etc. Recognizing contributions in wikis:Authorship categories, algorithms, and visualizations. Journal of the American Society for Information Science and Technology,2010,61(6):1166-1179
7 Ridings C, Gefen D, Arinze B. Some antecedents and effects of trust in virtual communities. Journal of Strategic Information Systems,2002,11(3/4):271-295.
8 Chang H H, Chuang S S. Social capital and individual motivations on knowledge sharing:Participant involvement as a moderator. Information & Management,2011,48(1):9-18
9 Adler B T. A Content-Driven Reputation System for the Wikipedia. In Proc. of the 16th Intl. World Wide Web Conf. (WWW 2007). ACM Press,2007.
1 唐·泰普斯科特,安东尼·D·威廉姆斯.维基经济学.中国青年出版社,2007.
2 Neus A. Managing Information Quality in Virtual Communities of Practice. In:Pierce, E. & Katz-Haas, R. (Eds.) Proceedings of the 6th International Conference on Information Quality at MIT. Boston, MA:Sloan School of Management,2001
3 Viegas F B, Wattenberg M, Kriss J, etc. Talk Before You Type:Coordination in Wikipedia. Proceeding of the 40th Hawaii International Conference on System Sciences,2007.
4 Braendle A. Many cooks don't spoil the broth. Proceedings of Wikimania 2005-The First International Wikimedia Conference. Frankfurt, Germany,2005.
5 Surowiecki J. The wisdom of crowds. New York:Random House,2005
1 Wikipedia:About. [2010-07-15]. http://en.wikipcdia.org/wiki/Wikipedia:About.
2 Ye Y W, Kishida K. Toward an Understanding of the Motivation of Open Source Software Developers. Proceedings of 2003 International Conference on Software Engineering (ICSE2003), Portland, OR, May 3-10, 2003.
1 田莹颖,吴克文,赵宇翔,朱庆华.维基百科信息内容评议模式及其对传统期刊评议的借鉴.情报理论与实践,2010(12)
2 Stvilia B, Twidale M B, Smith L C, Gasser L. Information quality work organization in Wikipedia. Journal of the American Society for Information Science and Technology,2008,59:983-1001.
3 Resnick P, R. Zeckhauser, R. Friedman, K. Kuwabara, Reputation systems. Communications of the ACM,2000, 43(12):45-48.
4 Jesang A, Ismail R, Boyd C. A survey of trust and reputation systems for online service provision. Decision Support Systems,2007(43):618-644
5 唐·泰普斯科特,安东尼·D·威闲廉姆斯.维基经济学.中国青年出版社,2007.
6 Weth C K. Bohm. A Unifying Framework for Behavior-Based Trust Models. In R. Meersman, Z. Tari et al. (Eds.):OTM 2006, LNCS 4275,2006, pp.444-461.
1 Hilligoss B, Rieh, S Y. Developing a unifying framework of credibility assessment:Construct, heuristics, and interaction in context. Information Processing and Management,2008,44(4)
2 Weth C K. Bohm. A Unifying Framework for Behavior-Based Trust Models. In R. Meersman, Z. Tari et al. (Eds.):OTM 2006, LNCS 4275,2006, pp.444-461.
1 张薇薇.基于隐喻视角的信息可视化系统比较研究.图书情报工作,2009(14)
1 Adler B T. A Content-Driven Reputation System for the Wikipedia. Proc. of the 16th Intl. World Wide Web Conf. (WWW 2007). ACM Press,2007.
Zeng H, Alhossaini M, Fikes R, etc. Mining revision history to assess trustworthiness of article fragments. Proceedings of the 2006 International Conference on Collaborative Computing:Networking, Applications and Worksharing, October 2006.
3 司联合,张伟平,论句子语义学的研究.河南理工大学学报(社会科学版),2005(4)
4 Zeng H, Alhossaini M, Fikes R, etc. Mining revision history to assess trustworthiness of article fragments. Proceedings of the 2006 International Conference on Collaborative Computing:Networking, Applications and Worksharing, October 2006.
1赵宇翔,朱庆华.Web 2.0环境下影响用户生成内容的主要动因研究.中国图书馆学报,2009,(5)
1 Hilligoss B, Rieh S Y. Developing a unifying framework of credibility assessment:Construct, heuristics, and interaction in context. Information Processing and Management,2008,44(4)
1 Metzger M J. Making Sense of Credibility on the Web:Models for Evaluating Online Information and Recommendations for Future Research. Journal of the American Society for Information Science and Technology, 2007,58(13):2078-2091
2 Flanagin A J, Metzger M J. The role of site features, user attributes, and information verification behaviors on the perceived credibility of web-based information. New Media Society,2007, 9(2):319-342
3 张明新.网络信息的可信度研究：网民的视角.新闻与传播研究,2007,12(2)
4 汤志伟,彭志华,张会平.网络公共危机信息可信度的实证研究.情报杂志,2010,29(7)
5 Fogg B J. Persuasive technology:Using computers to change what we think and do. San Francisco:Kaufmann, 2003.
6 Rieh S Y. Judgment of information quality and cognitive authority in the Web. Journal of the American Society for Information Science and Technology,2002,53(2),145-161.
7 包敦安,董大海.基于ELM的网络评论信息可信性影响因索研究.现代管理科学,2009(11)：107-109
1 高祖新,陈华钧.概率论与数理统计.南京大学出版社,1995：161.
1 Meola M. Chucking the checklist:A contextual approach to teaching undergraduates Web-site evaluation. Libraries and the Academy,2004,4(3),331-344.
1 Metzger M J. Making Sense of Credibility on the Web:Models for Evaluating Online Information and Recommendations for Future Research. Journal of the American Society for Information Science and Technology, 2007,58(13):2078-2091
2 包敦安,董大海.基于ELM的网络评论信息可信性影响因素研究.现代管理科学,2009(11)：107-109
1 Braendle A. Many cooks don't spoil the broth. Proceedings of Wikimania 2005-The First International Wikimedia Conference. Frankfurt, Germany,2005.
2 Metzger M J. Making Sense of Credibility on the Web:Models for Evaluating Online Information and Recommendations for Future Research. Journal of the American Society for Information Science and Technology, 2007,58(13):2078-2091
3 Fogg B J. Persuasive technology:Using computers to change what we think and do. San Francisco:Kaufmann, 2003.
4 Rieh S Y. Judgment of information quality and cognitive authority in the Web. Journal of the American Society for Information Science and Technology,2002,53(2),145-161.
5 Adler B T. A Content-Driven Reputation System for the Wikipedia. Proc. of the 16th Intl. World Wide Web Conf (WWW 2007). ACM Press,2007.
6 http://zh.wikipedia.org/wiki/Wikipedia:V,2011/5/4访问
7 Flanagin A J, Metzger M J. The role of site features, user attributes, and information verification behaviors on the perceived credibility of web-based information. New Media Society,2007,9(2):319-342
8 汤志伟,彭志华,张会平.网络公共危机信息可信度的实证研究.情报杂志,2010,29(7)
9 孙曙迎.消费者网络信息可信度感知影响因索的实证研究.北京理工大学学报,2008(6)
1 Flanagin A J, Metzger M J. Perceptions of Internet Information Credibility. Journalism and Mass Communication Quarterly,2000,77(3):515-40.
2 罗志成,关婉湫,张勤.维基百科与百度百科比较分析.情报理论与实践,2009(4)
1 汤志伟,彭志华,张会平.网络公共危机信息可信度的实证研究.情报杂志,2010,29(7)
2 孙曙迎.消费者网络信息可信度感知影响因素的实证研究.北京理工大学学报,2008(6)
3 Flanagin A J, Metzger M J. The role of site features, user attributes, and information verification behaviors on the perceived credibility of web-based information. New Media Society,2007,9(2):319-342
3 张明新.网络信息的可信度研究：网民的视角.新闻与传播研究,2007,12(2)
4 孙春华,刘业政.网络口碑信息可信度的实验研究.财经论从,2009(4)
1 Stvilia B, Twidale B, Smith L C, Gasser L. Information quality work organization in Wikipedia. Journal of the American Society for Information Science and Technology,2008,59:983-1001.
2 Flanagin A J, Metzger M J. The role of site features, user attributes, and information verification behaviors on the perceived credibility of web-based information. New Media Society,2007.9(2):319-342
1 http://zh.wikipedia.org/wiki/Wikipedia:V,2011/5/4访问
http://www.baidu.com/search/baike help.html#编辑原则,2011/7/15访问
3 罗志成,关婉湫,张勤.维基百科与百度科比较分析.情报理论与实践,2009(4)
1 Chaiken S, Trope Y. Dual-process theories in social psychology. New York:Guilford Press,1999.
2 Metzger M J. Making Sense of Credibility on the Web:Models for Evaluating Online Information and Recommendations for Future Research. Journal of the American Society for Information Science and Technology, 2007,58(13):2078-2091
3 Petty R E, Cacioppo J T. The elaboration of likelihood model of persuasion. Advances in Experimental social Psychology,1986,19:123-205.
1 Metzger M J. Making Sense of Credibility on the Web:Models for Evaluating Online Information and Recommendations for Future Research. Journal of the American Society for Information Science and Technology, 2007,58(13):2078-2091
2 Hilligoss B, Rieh S Y. Developing a unifying framework of credibility assessment:construct, heuristics, and interaction in context. Information Processing and Management,2008,44(4):1467-1484
1 Hilligoss B, Rieh S Y. Developing a unifying framework of credibility assessment:construct, heuristics, and interaction in context. Information Processing and Management,2008,44(4):1467-1484
2 唐·泰普斯科特,安东尼·D·威廉姆斯.维基经济学——大规模协作如何改变一切.中国青年出版社,2007
1 Flanagin A J, Metzger M J. Perceptions of Internet Information Credibility. Journalism and Mass Communication Quarterly,2000,77(3):515-40.
2 Flanagin A J, Metzger M J. The role of site features, user attributes, and information verification behaviors on the perceived credibility of web-based information. New Media Society,2007,9(2):319-342
3 Metzger M J. Making Sense of Credibility on the Web:Models for Evaluating Online Information and Recommendations for Future Research. Journal of the American Society for Information Science and Technology, 2007,58(13):2078-2091
4 孙彦,李纾,殷晓莉.决策与推理的双系统——启发式系统和分析系统.心理科学进展,2007,15(5)：721-845.
1 Metzger M J. Making Sense of Credibility on the Web:Models for Evaluating Online Information and Recommendations for Future Research. Journal of the American Society for Information Science and Technology, 2007,58(13):2078-2091
2 Meola M. Chucking the checklist:A contextual approach to teaching undergraduates Web-site evaluation. Libraries and the Academy,2004,4(3),331-344.
1 Vord R V. Distance students and online research:Promoting information literacy through media literacy. Internet and Higher Education,2010,13:170-175.
2 Fritch J W. Heuristics, tools, and systems for evaluating Internet information:Helping users assess a tangled Web. Online Information Review,2003,27(5):321-327.
1 张明新.网络信息的可信度研究：网民的视角.新闻与传播研究,2007,12(2)
2 Flanagin A J, Metzger M J. The role of site features, user attributes, and information verification behaviors on the perceived credibility of Web-based information. New Media Society,2007,9(2):319-342
1 周涛,鲁耀斌.基于社会影响理论的虚拟社区用户知识共享行为研究.研究与发展管理,2009(4)
2 比尔盖茨.未来时速——数字神经系统与商务新思维.北京大学出版社,1999.
3 http://zh.wikipedia.org/wiki/Wikipedia:V,2011/5/4访问
1 http://www.baidu.com/seach/baike_help.html#编辑原则,2011/7/15访问
1 邓胜利,张敏.基于用户体验的交互式信息服务模型构建.中国图书馆学报,2009(1)
2 Toms E G. Information Interaction:Providing a Framework for Information Architecture. Journal of the American Society for Information Science and Technology,2002,53 (10):855-862
3 胡昌平,胡吉明,邓胜利.基于Web 2.0的用户群体交互分析及其服务拓展研究.中国图书馆学报,2009(5)
1 Flanagin A J, Metzger M J. The role of site features, user attributes, and information verification behaviors on the perceived credibility of web-based information. New Media Society,2007,9(2):319-342
2 张明新.网络信息的可信度研究：网民的视角.新闻与传播研究,2007,12(2)
3 Kubiszewski I, Noordcwier T, Costanza R. Perceived credibility of Internet encyclopedia. Computers & Education,2011,56:659-667.
4 林闯,田立勤,王元卓.可信网络中用户行为可信的研究.计算机研究与发展,2008,45(12)
5 Weth C, Bohm K. A Unifying Framework for Behavior-Based Trust Models. In R. Meersman, Z. Tari et al. (Eds.):OTM 2006, LNCS 4275, pp.444-461,2006.
1 Zhang J. The implication of metaphors in information visualization//Visualization in information retrieval. Springer Berlin Heidelberg,2008
2 束定芳.论隐喻与明喻的结构及认知特点.外语教学与研究,2003,(2)
3 赵宗金.心理学的意义空间——一种隐喻视角的考察.长春：吉林大学,2008
1 董献洲.信息可视化视图的特征认知模式研究.情报科学,2008,26(7)
2 Zhang J. The implication of metaphors in information visualization//Visualization in information retrieval. Springer Berlin Heidelberg,2008
1 http://service.taobao.com/support/knowledge-1119261-htm.[2012.01.02访问]
2 Adler B T. Assigning Trust to Wikipedia Content.Technical Report UCSC-CRL-07.09,2007.
[1]. Adler B T, Alfaro L de. A content-driven reputation system for the wikipedia. In Proc. of the 16th Intl. World Wide Web Conf. (WWW 2007), New York:ACM Press,2007.
[2]. Adler B T. Assigning Trust to Wikipedia Content. Technical Report UCSC-CRL-07-09,2007.
[3]. Amershi, S, Morris, M R. Cosearch:A system for co-located collaborative web search[G]. In HCI. Florence, Italy:ACM,2008:1647-1656
[4]. Arazy O, Stroulia E, Ruecker S, etc. Recognizing contributions in wikis:Authorship categories, algorithms, and visualizations. Journal of the American Society for Information Science and Technology,2010,61 (6):1166-1179
[5]. Arazy, O., Morgan, W., and Patterson, R. Wisdom of the crowds:Decentralized knowledge construction in Wikipedia.16th annual workshop on information technologies and systems, 2006. [2010-01-12]. http://papers.ssrn.com/sol3/papers.cfm?abstract_id=1025624
[6]. Azzedin F, Maheswaran M. Evolving and Managing Trust in Grid Computing Systems. IEEE Canadian Conference on Electrical & Computer Engineering, May 2002
[7]. Bedny G Z, Seglin M H,Meister D. Activity theory:history, research and application. Theoretical Issues in Ergonomic Science,2000,1(2):168-206.
[8]. Braendle, A. Many cooks don't spoil the broth. Proceedings of Wikimania 2005-The First International Wikimedia Conference. Frankfurt, Germany,2005.
[9]. Chaiken S, Trope Y. Dual-process theories in social psychology. New York:Guilford Press, 1999.
[10].Chang H H, Chuang S S. Social capital and individual motivations on knowledge sharing: Participant involvement as a moderator. Information & Management,2011,48(1):9-18
[11].Cheliotis, Giorgos. From open source to open content:Organization, licensing and decision processes in open cultural production. Decision Support Systems,2009,47(3):229-244.
[12].Chen, T-Y Advanced multi-phase trust evaluation model for collaboration between coworkers in dynamic virtual project teams. Expert Systems with Applications,2009,36(8).
[13]. Chesney T. An empirical examination of Wikipedia's credibility. First Monday,2006,11(11).
[14].Cole P., Nast-Cole J. A primer on group dynamics for groupware developers[G]//edited by D. Marca and G. Bock. Groupware:Software for Computer-Supported Cooperative Work. Los Alamitos, CA:IEEE Computer Society Press,1992:44-57.
[15].Corritore C L, Kracher B, Wiedenbeck S. On-line trust:concepts, evolving themes, a model. Int. J. Human-Computer Studies,58 (2003):737-758
[16].David D. Chrislip and Carl E. Larson. Collaborative Leadership:How Citizens and Civic Leaders Can Make a Difference. San Francisco:Jossey-Bass,1994:5.
[17].Dondio P, Barrett S. Computational Trust in Web Content Quality:A Comparative Evaluation on the Wikipedia Project. Infonnatica,31 (2007):151-160.
[18].Dondio P, S Barrett, S Weber. Calculating the trustworthiness of Wikipedia articles using DANTE methodology. IADIS International Conference e-Society,2006
[19].Engestrom Y. Learning by expanding:an activity-theoretical approach to developmental research. Helsinki:Orienta-Konsultit,1987.
[20].Esfandiari B. Chandrasekharan S. On How Agents Make Friends:Mechanisms for Trust Acquisition. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.11.4683&rep=rep 1&type=pdf
[21].Fjeld M, Lauche K, Bichsel M, etc. Physical and Virtual Tools:Activity Theory Applied to the Design of Groupware. Computer Supported Cooperative Work,2002,11:153-180.
[22].Flanagin A J, Metzger M J. Perceptions of Internet Information Credibility. Journalism and Mass Communication Quarterly,2000,77(3):515-40.
[23].Flanagin A J, Metzger M J. The role of site features, user attributes, and information verification behaviors on the perceived credibility of web-based information. New Media Society,2007,9(2):319-342
[24].Flanagin, A J, Metzger, M J. Digital media and youth:Unparalleled opportunity and unprecedented responsibility. In M.Metzger & A. Flanagin (Eds.), Digital media, youth, and credibility. Cambridge, MA:The MIT Press,2007:5-28
[25].Fogg B J. Persuasive technology:Using computers to change what we think and do. San Francisco:Kaufmann,2003.
[26].Foley, C., & Smeaton, A. F. Division of labour and sharing of knowledge for synchronous collaborative information retrieval. Information Processing and Management,2009, in press. [2010-01-10]. http://dx.doi.org/10.1016/j.ipm.2009.10.010
[27].Foster, J. Collaborative information seeking and retrieval. Annual Review of Information Science and Technology,2006,40 (1):329-356.
[28].Fritch J W. Heuristics, tools, and systems for evaluating Internet information:Helping users assess a tangled Web. Online Information Review,2003,27(5):321-327.
[29].Galegher, J, Kraut, R E. Computer-mediated communication for intellectual teamwork:A field experiment in group writing. In CSCW '90:Proceedings of the 1990 ACM conference on computer-supported cooperative work. New York, USA:ACM,1990:65-78
[30].Giles J. Internet Encyclopedias Go Head to Head. Nature.2005,V438:900-901
[31].Golovchinsky G, J. Pickens, and M. Back. A Taxonomy of Collaboration in Online Information Seeking. Proc. Int'l Workshop Collaborative Information Retrieval. June 2008
[32].Golovchinsky G., Qvarfordt, P. & Pickens, J. Collaborative information seeking. IEEE Computer,2009,42(3).
[33].Gray B. Collaborating:Finding Common Ground for Multiparty Problems. San Francisco: Jossey-Bass,1989:5.
[34].Gutwin, C., and Greenberg, S. The mechanics of collaboration:Developing low cost usability evaluation methods for shared workspaces. IEEE 9th International Workshop on Enabling Technologies:Infrastructure for Collaborative Enterprises (WETICE'00).14-16 June 2000.
[35].Halvey, M., et al. An asynchronous collaborative search system for online video search. Information Processing and Management,2010
[36].Hansen P, Jarvelin K. Collaborative Information Retrieval in an information-intensive domain. Information Processing and Management,2005,41:1101-1119
[37].Hars A, Ou S. Working for Free? Motivations for Participating in Open-Source Projects. International Journal of Electronic Commerce,2002,6:25-39.
[38].Hilligoss B, Rieh S Y. Developing a unifying framework of credibility assessment:construct, heuristics, and interaction in context. Information Processing and Management,2008, 44(4):1467-1484
[39].Hussain F K, Chang E. An Overview of the Interpretations of Trust and Reputation. The Third Advanced International Conference on Telecommunications (AICT07),2007:30
[40].http://baike.baidu.com.2011/7/25访问
[41].http://cn.alexa.com/siteinfo/wikipedia.org.2011/7/25访问
[42].http://news.xinhuanet.com/society/2008-04/07/content_7931481.htm新华网,2008-4-17.
[43].http://www.baidu.com/search/baike_help.html#编辑原则,2011/7/15访问
[44]. http://www.baidu.com/search/baike_help.html#编辑原则,2011/7/15访问
[45].http://zh.wikipedia.org/wiki/Wikipedia:V,2011/5/4访问
[46].http://zh.wikipedia.org/wiki/Wikipedia:V,2011/5/4访问
[47]. Huang C H, Tsai P Y. Applying Evolution Computation Model to the Development and Transition of Virtual Community under Web2.0[G]//J. Mehnen et al. (Eds.):Applications of Soft Computing, AISC 58. Berlin Heidelberg:Springer-Verlag,2009:171-180.
[48].J(?)sang A, Ismail R, Boyd C. A survey of trust and reputation systems for online service provision. Decision Support Systems,2007(43):618-644
[49].Javanmardi S, Lopes C V. Modeling trust in collaborative information systems. International Conference on Collaborative Computing:Networking, Applications and Worksharing, 2007:299-302.
[50].Jonassen D H, Murphy L R. Activity theory as a framework for designing constructivist learning environments//Educational Technology, Research and Development. Washington: 1999,47:61-79.
[51]. Jones, Q. Virtual-communities, virtual settlements & cyber-archaeology:A theoretical outline. Journal of Computer Mediated Communication,1997,3(3).
[52].Kim, D.J. A trust-based consumer decision-making model in electronic commerce:The role of trust, perceived risk, and their antecedents. Decision Support Systems,2008,44(2).
[53].Kortemeyer,G, and Bauer, W. Multimedia Collaborative Content Creation (mc3)-The MSU LectureOnline System. Journal of Engineering Education,1999,88(4):405
[54].Kubiszewski I, Noordewier T, Costanza R. Perceived credibility of Internet encyclopedia. Computers & Education,2011,56:659-667.
[55].Kuhlthau, C C. Inside the search process:seeking meaning from the users perspective. Journal of the American Society for Information Science,1991,42(5):361-371.
[56].Lazinger, Susan S., Judit-Bar-LLan, Bluma c. Pertiz. Internet used by faculty members in various disciplines:A Comparative Case Study. Journal of American Society for Information Science,1997(6):508-518
[57]. London S. Collaboration and community. [2010-01-20]. http://www.scottlondon.com/reports/ppcc.html
[58].Lowry P B, Curtis A, Lowry M R. A Taxonomy of Collaborative Writing to Improve Empirical Research, Writing Practice, and Tool Development. Journal of Business Communication,2004,41(1):66-99.
[59].Maleewong K., Anutariya C., Wuwongse V. SAM:Semantic Argumentation Based Model for Collaborative Knowledge Creation and Sharing System//N.T. Nguyen, R. Kowalczyk, and S.-M. Chen (Eds.):ICCCI 2009, LNAI 5796,2009:75-86.
[60].Meola M. Chucking the checklist:A contextual approach to teaching undergraduates Web-site evaluation. Libraries and the Academy,2004,4(3),331-344.
[61].Metzger M J. Making Sense of Credibility on the Web:Models for Evaluating Online Information and Recommendations for Future Research. Journal of the American Society for Information Science and Technology,2007,58(13):2078-2091
[62].Morris, M.R. and Teevan, J. Understanding Groups' Properties as a Means of Improving Collaborative Search Systems. In Proceedings of the Workshop on Collaborative Information Retrieval. Pittsburgh, PA,2008.
[63].Mui L, M Mohtashemi, A Halberstadt. A Computational Model of Trust and Reputation. Proceedings of the 35th Annual Hawaii International Conference on System Sciences,2002
[64].Mundie C, de Vries P, Haynes P, Corwine M. Trustworthy computing. Microsoft White Paper, 2002.http://download.microsoft.com/download/a/f/2/af22fd56-7f19-47aa-8167-4bl d73cd3c5 7/twc mundie.doc
[65].Nakakoji K, Yamamoto Y, Nishinaka Y, etc. Evolution Patterns of Open-Source Software Systems and Communities. Proceedings of International Workshop on Principles of Software Evolution (IWPSE 2002), Orlando, FL,2002:76-85.
[66].Neus A. Managing Information Quality in Virtual Communities of Practice//In:Pierce, E.& Katz-Haas, R. (Eds.) Proceedings of the 6th International Conference on Information Quality at MIT. Boston, MA:Sloan School of Management,2001
[67].Noel S, Robert J M. How the Web is used to support collaborative writing. Behaviour& Information Technology,2003,22:245-262.
[68].Okoli C, Oh W. Investigating recognition-based performance in an open content community: A social capital perspective. Information and Management,2007,44 (3):240-252
[69].Okoli C. Beyond Open Source Software:An Introduction to Researching Open Content and Wikipedia. Sprouts:Working Papers on Information Systems,2009,9(64). http://sprouts.aisnet.org/9-64
[70].Petty R E, Cacioppo J T. The elaboration of likelihood model of persuasion. Advances in Experimental social Psychology,1986,19:123-205.
[71].Poltrock, S., Dumais, S., Fidel, R., Bruce, H., Pejtersen, A.M. Information seeking and sharing in design teams. ACM conference on supporting group work (GROUP'03). ACM, 2003.
[72].Posner, I R, Baecker R M. How people write together. Paper presented at the Twenty-fifth Hawaii International Conference on System Sciences, Kauai, Hawaii,1992.
[73].Raya Fidel, Annelise Mark Pejtersen and Bryan Cleal, Harry Bruce. A Multidimensional Approach to the Study of Human-Information Interaction:A Case Study of Collaborative Information Retrieval. Journal of the American Society for Information Science and Technology,2004,55(11):939-953.
[74]. Read B. Middlebury College History Department limits students use of Wikipedia[EB/OL]. http://chronicle.com/article/Middlebury-College-History/23736,2006-2-16.
[75].Reddy M C, Jansen B J. A model for understanding collaborative information behavior in context:A study of two healthcare teams. Information Processing and Management 44 (2008) 256-273
[76].Resnick P, R. Zeckhauser, R. Friedman, K. Kuwabara, Reputation systems. Communications of the ACM,2000,43(12):45-48.
[77].Ridings C., D.Gefen, B.Arinze. Some antecedents and effects of trust in virtual communities.Journal of Strategic Information Systems,2002,11(3/4):271-295.
[78]. Ridings, C. M., Gefen, D. Virtual community attraction:Why people hang out online. Journal of Computer-Mediated Communication,2004,10(1).
[79].Rieh S Y. Judgment of information quality and cognitive authority in the Web. Journal of the American Society for Information Science and Technology,2002,53(2),145-161.
[80].Shah, C. Lessons and Challenges for Collaborative Information Seeking (CIS) Systems Developers. In the Proceedings of Collaborative Information Behavior Workshop at GROUP2009. Sanibel Island, Florida,2009
[81]. Sharples M. Adding a little structure to collaborative writing. CSCW in practise:An introduction and case studies.1993.
[82].Stallman R M. Copyright and Globalization in the Age of Computer Networks. In Free Software, Free Society:selected essays of Richard M. Stallman,1st ed. Boston:Free Software Foundation,2002:133-154. http://www.gnu.org/philosophy/copyright-and-globalization.html.
[83].Stratton C R. Collaborative Writing in the Workplace. IEEE Transactions on Professional Communication,1989,32(3),178-182.
[84].Stvilia B, Al-Faraj A, Yi Y J. Issues of cross-contextual information quality evaluation-The case of Arabic, English, and Korean Wikipedias. Library & Information Science Research, 2009,31:232-239.
[85].Stvilia B, Gasser L. An activity theoretic model for information quality change. First Monday,2008,13(4).
[86].Stvilia B, Twidale M B, Smith L C, Gasser L. Information quality work organization in Wikipedia. Journal of the American Society for Information Science and Technology,2008, 59:983-1001.
[87].Surowiecki, J. The wisdom of crowds. New York:Random House,2005.
[88].Surowiecki, J. Wisdom of Crowds:Why the Many Are Smarter Than the Few and How Collective Wisdom Shapes Business, Economies, Societies and Nations. Doubleday Publishing,2004.
[89].The Apache Software Foundation. [2010-07-20]. http://community.apache.org/
[90].Toms E G Information Interaction:Providing a Framework for Information Architecture. Journal of the American Society for Information Science and Technology,2002,53 (10): 855-862
[91].Tosic M., Nejkovic V. Collaborative Wiki Tagging//S. Schaffert et al. (Eds.):Networked Knowledge-Networked Media, SCI 221. Springer Berlin/Heidelberg,2009:141-153.
[92].Viegas F B, Wattenberg M, Kriss J, etc. Talk Before You Type:Coordination in Wikipedia. Proceeding of the 40th Hawaii International Conference on System Sciences,2007.
[93].Viegas F, Wattenberg M, Dave K. Studying Cooperation and Conflict between Authors with history flow Visualizations. In Proceedings of SIGCHI,2004.
[94].Vord R V. Distance students and online research:Promoting information literacy through media literacy. Internet and Higher Education,2010,13:170-175.
[95].Wagner C, Prasarnphanich P. Innovating Collaborative Content Creation:The Role of Altruism and Wiki Technology. Proceedings of the 40th Hawaii International Conference on System Sciences.2007
[96].Wang Y, Vassileva J. Bayesian network-based trust model. IEEE/WIC International Conference on Web Intelligence, October 2003.
[97].Wasko M M, S. Faraj. "Why Should I Share? Examining Social Capital and Knowledge Contribution in Electronic Networks of Practice", MIS Quarterly (29:1),2005, pp.35-57.
[98].Weth C, Bohm K. A Unifying Framework for Behavior-Based Trust Models[G]//R. Meersman, Z. Tari et al. (Eds.):OTM 2006, LNCS 4275,2006:444-461.
[99].Wikipedia:Neutral Point of View. [2010-07-28]. http://en.wikipedia.org/wiki/NPOV
[100]. Wikipedia:About. [2010-07-15]. http://en.wikipedia.org/wiki/Wikipedia:About.
[101]. Wilson T D. Human information behavior. Informing science,2000,3(2).
[102]. Wilson T D. A re-examination of information seeking behaviour in the context of activity theory. Information Research,2006(6).
[103]. Wilson T D. Activity theory and information seeking. Annual Review of Information Science and Technology,2008,42:119-162.
[104]. Wilson M L, Schraefel M C. Evaluating Collaborative Information Seeking Interfaces with a Search-Oriented Inspection Method and Re-framed Information Seeking Theory. Information Processing & Management,2009.
[105]. Ye Y W, Kishida K. Toward an Understanding of the Motivation of Open Source Software Developers. Proceedings of 2003 International Conference on Software Engineering (ICSE2003), Portland, OR, May 3-10,2003.
[106]. Zeng H, Alhossaini M, Fikes R, etc. Mining revision history to assess trustworthiness of article fragments. Proceedings of the 2006 International Conference on Collaborative Computing:Networking, Applications and Worksharing, October 2006.
[107]. Zhang J. The implication of metaphors in information visualization [G]//Visualization in information retrieval. Springer Berlin Heidelberg,2008.
[108]. Zhou N, Stahl G Towards Building a Math Discourse Community:Investigating Collaborative Information Behavior//D. Schuler (Ed.):Online Communities and Social Comput., HCII 2007, LNCS 4564,2007:509-518.
[109]. 包敦安,董人海.基于ELM的网络评论信息可信性影响因素研究.现代管理科学,2009(11)：107-109.
[110]. 比尔盖茨.未来时速--数字神经系统与商务新思维.北京大学出版社,1999.
[111]. 蔡斯博,邹艳珍,邵凌霜等.一种支持软件资源可信评估的框架.软件学报,2010,21(2)：359-372
[112]. 褚峻,张咏,巢乃鹏.信息查寻活动中的合作行为与合作式信息查寻.大学图书馆学报,2003(4)
[113]. 邓发云.基于用户需求的信息可信度研究.博士学位论文：西南交通大学,2006.
[114]. 邓胜利,张敏.基于用户体验的交互式信息服务模型构建.中国图书馆学报,2009(1)
[115]. 邓晓衡,卢锡城,王怀民iVCE中基于可信评价的资源调度研究.计算机学报,2007,30(10)
[116]. 董献洲.信息可视化视图的特征认知模式研究.情报科学,2008,26(7)
[117]. 高祖新,陈华钧.概率论与数理统计.南京大学出版社,1995：161.
[118]. 胡吕平,胡吉明,邓胜利.基于Web 2.0的用户群体交互分析及其服务拓展研究.中国图书馆学报,2009(5)
[119].何保建.对虚拟社区管理的透视分析.学术交流,2005(10).
[120].李晓静.中国大众媒介可信度指标研究.博士学位论文：复旦大学,2005.
[121].林闯,彭雪海.可信网络研究.计算机学报,2005,28(5)：751-758
[122].林闯,田立勤,王元卓.可信网络中用户行为可信的研究.计算机研究与发展,2008,45(12)
[123].罗志成,关婉湫,张勤.维基百科与百度科比较分析.情报理论与实践,2009(4)
[124]. 吕巾娇,刘美凤,史力范.活动理论的发展脉络与应用探析.现代教育技术,2007(1).
[125]. 马费成,夏永红.基于CAS理论的维基百科序化机制研究.图书馆论坛,2008(6)
[126]. 毛波,尤雯雯.虚拟社区成员分类模型.清华大学学报(自然科学版),2006,46(S1)：1070-1073.
[127]. 任立肖.网络用户信息行为计量研究.兰州：兰州大学,2006
[128]. 沈吕祥,张焕国,王怀民,等.可信计算的研究与发展.中国科学：信息科学,2010,40(2)： 139-166
[129]. 束定芳.论隐喻与明喻的结构及认知特点.外语教学与研究,2003,(2)
[130]. 司联合,张伟平.论句子语义学的研究.河南理工大学学报(社会科学版),2005(4)
[131]. 孙春华,刘业政.网络口碑信息可信度的实验研究.财经论丛,2009(4)
[132]. 孙曙迎.消费者网络信息可信度感知影响因素的实证研究.北京理工大学学报,2008(6)
[133]. 孙彦,李纾,殷晓莉.决策与推理的双系统一启发式系统和分析系统.心理科学进展,2007,15(5)：721-845.
[134]. 汤志伟,彭志华,张会平.网络公共危机信息可信度的实证研究.情报杂志,2010,29(7)
[135]. 唐泰普斯科特,安东尼D威廉姆斯.维基经济学.中国青年出版社,2007.
[136]. 田莹颖,吴克文,赵宇翔,朱庆华.维基百科信息内容评议模式及其对传统期刊评议的借鉴.情报理论与实践,2010(12)
[137]. 王玫,朱云龙,何小贤.群体智能研究综述.计算机工程,2005(11)
[138]. 维基百科http://zh.wikipedia.org/.2011/7/25访问
[139]. 徐琳.网络口碑信息可信度影响因素的实证研究.财贸研究,2007.5
[140]. 徐蔓.准在撼动维基白‘科.互联网周刊,2008-1-5.
[141]. 杨堤雅.网际网路虚拟社群成员之角色与沟通互动之探讨.台湾：中正大学企业管理研究所,2000.
[142]. 张明新.网络信息的可信度研究：网民的视角.新闻与传播研究,2007,12(2)
[143]. 张喜征.基于虚拟社区的网络信任管理模式研究[J].情报杂志,2006(4)
[144]. 张薇薇.基于隐喻视角的信息可视化系统比较研究.图书情报工作,2009(14)
[145]. 张薇薇.社群环境下用户协同信息行为研究述评.中国图书馆学报,2010(4)
[146]. 赵玲,鲁耀斌,邓朝华.虚拟社区信任与社区成员购买行为研究.工业工程与管理,2009(3)
[147]. 赵宇翔,朱庆华.Web 2.0环境下影响用户生成内容的主要动因研究.中国图书馆学报,2009,(5)
[148]. 赵宗金.心理学的意义空间--一种隐喻视角的考察.长春：吉林大学,2008
[149]. 周庆山,王京山.维基百科信息自组织模式探析.情报资料工作,2007(2)
[150]. 周涛,鲁耀斌.基于社会影响理论的虚拟社区用户知识共享行为研究.研究与发展管理, 2009(4)