网民群体对突发互联网集体事件信息感知的语义图谱研究
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摘要
[目的/意义]信息感知作为网络行为意向的近端重要解释变量,对剖析互联网集体行为意向的形成路径和构建应对策略具有非常重要的意义,也是现阶段舆情管理与网络社会治理的核心所在。[方法/过程]文章依次采用开放式调研法、文本数据挖掘技术与问卷调查法探索网民群体对突发集体事件的信息感知特征的知识图谱工具。[结果/结论]经语义网络分析与实证分析发现网民群体对突发网络集体事件的信息感知具有一定的规律性;其语义网络特征呈辐射状,由多维度构成,每个维度之间联结紧密。相关研究结论有助于利用互联网优势掌握集体行为的发展动态并依此制定应对策略及时化解危机,强化社会预警管理。
[Purpose/significance]As the near-end and important explanatory variable of network behavior intention,information perception is of great significance to the analysis of formation path of network collective behavior intention and the construction of coping strategies.Moreover,it is the core of public opinion management and network social governance at the present stage.[Method/process]In this study,the open survey method,text data mining technology and questionnaire survey method are used to explore the knowledge graph tools of net citizens' information perception characteristics about network group emergencies.[Result/conclusion]Based on the semantic network analysis and empirical analysis,it is found that the information perception of net citizens on network group emergencies has certain regularity,and the semantic network is radiated and is composed by many closely linked cognitive dimensions.The relevant research conclusions help to use the advantages of the Internet to grasp the development dynamics of group behaviors and to formulate corresponding strategies to resolve the crisis in time and strengthen the management of social early-warning.
[Purpose/significance]As the near-end and important explanatory variable of network behavior intention,information perception is of great significance to the analysis of formation path of network collective behavior intention and the construction of coping strategies.Moreover,it is the core of public opinion management and network social governance at the present stage.[Method/process]In this study,the open survey method,text data mining technology and questionnaire survey method are used to explore the knowledge graph tools of net citizens' information perception characteristics about network group emergencies.[Result/conclusion]Based on the semantic network analysis and empirical analysis,it is found that the information perception of net citizens on network group emergencies has certain regularity,and the semantic network is radiated and is composed by many closely linked cognitive dimensions.The relevant research conclusions help to use the advantages of the Internet to grasp the development dynamics of group behaviors and to formulate corresponding strategies to resolve the crisis in time and strengthen the management of social early-warning.
引文
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[23]QIU X,OLIVEIRA D F,SHIRAZI A S,FLAMMINI A,MENCZER F.Limited individual attention and online virality of low-quality information[J].Nature Human Behaviour,2017(1):1-32.
[2]石密.互联网集体行为意向的影响因素及其作用[D].北京:中国科学院研究生院,2011.
[3]BASAK A E,GDKBAY U,DURUPINAR F.Using real life incidents for creating realistic virtual crowds with data-driven emotion contagion[J].Computers&Graphics,2018,72:70-81.
[4]FAN R,XU K,ZHAO J.An agent-based model for emotion contagion and competition in online social media[J].Physica A,2018,495:245-259.
[5]孙晓宁,赵宇翔,朱庆华.社会化搜索平台中信息价值感知差异研究---基于用户满意度与任务复杂性视角[J].情报学报,2018,37(1):86-97.
[6]石密,时勘,刘建准.信息发送者与目标受众的信息传播意向研究[J].情报科学,2017,35(6):18-24.
[7]BORDIA P,DIFONZO N.Problem solving in social interactions on the internet:rumor as social cognition[J].Soc.Psychol.Q,2004,67:33-49.
[8]WANG Q,YANG X,XI W.Effects of group arguments on rumor belief and transmission in online communities:An information cascade and group polarization perspective[J].Information&Management,2018,55:441-449.
[9]DIFONZO N,SULS J,BECKSTEAD J,et al.Network structure moderates intergroup differ:entiation of stereotyped rumors[J].Social Cognition,2014,32:409-448.
[10]YAN Qiang,YI Lanli,WU Lianren.Human dynamic model co-driven by interest and social identity in the Micro Blog community[J].Physica A,2012,391:1540-1545
[11]BROOKS B,DIFONZO N,ROSS D.The GBN-dialogue model of outgroup-negative rumor transmission:group membership,belief,and novelty[J].Nonlinear Dyn.Psychol.Life Sci.2013,17:269-293.
[12]DOTY J,DWORKIN J.Parents of adolescents use of social networking sites[J].Computers in Human Behavior,2014,33:349-355.
[13]RAINES S A,PETERSON E B,WRIGHT K B.Communicating social support in computer-mediated contexts:A meta-analytic review of content analyses examining support messages shared online among individuals coping with illness[J].Communication Monographs,2015,82:403-430.
[14]BLIUCA A,FAULKNERB N,JAKUBOWICZC A,MCGAR-TYA C.Online networks of racial hate:A systematic review of10 years of research on cyber-racism[J].Computers in Human Behavior,2018,87:75-86.
[15]李凯,黄敬尧,王晓文.LBS用户信息公开意愿影响因素分析---基于交换理论的实证研究[J].情报学报,2016,35(1):84-97.
[16]CHEWNING V,MONTEMURRO B.The structure of support:Mapping network evolution in an online support group[J].Computers in Human Behavior,2016,64:355-365.
[17]费德尔曼.文本挖掘[M].北京:人民邮电出版社,2009.
[18]石密,刘春雷,时勘,刘建准.影响网络集体行为意向的情绪感染路径研究---基于情绪-信息的理论视角[J].情报杂志,2018(11).
[19]ROSE S,HAIR N,CLARK M.Online customer experience:A review of the business-to-consumer online purchase context international[J].Journal of Management Reviews,2011,13:24-39.
[20]DECLERCK D,HOLTZMAN S.To text or talk:Does communication modality matter when providing criticism to others?[J]Computers in Human Behavior,2018,87:109-120.
[21]STIEGLITZ S,DANG-XUAN L.Emotions and information diffusion in social media-sentiment of microblogs and sharing behavior[J].Journal of Management Information System,2013,29(4):217-248.
[22]PETER I,PETERMANN F.Cyberbullying:A concept analysis of defining attributes and additional influencing factors[J].Computers in Human Behavior,2018,86:350-366.
[23]QIU X,OLIVEIRA D F,SHIRAZI A S,FLAMMINI A,MENCZER F.Limited individual attention and online virality of low-quality information[J].Nature Human Behaviour,2017(1):1-32.