基于信息生态理论的政法事件微博舆情传播规律研究
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摘要
[目的/意义]在以政务微博为代表的新媒体技术不断发展的背景下,政法事件微博舆情传播成为政法机关面临的新问题。对政法微博舆情传播进行研究,有助于剖析微博舆情传播的信息生态学规律。[方法/过程]基于信息生态理论构建政法微博舆情生态系统,以聊城于欢案政法事件为研究实例,将新浪微博舆情信息作为研究对象,对系统内的信息主体、信息环境、信息3个因子的传播和演化过程进行分析。[结果/结论]研究结果表明,主体因子中用户粉丝数和关注数均符合幂率分布且呈断尾分布特征;信息因子特征量符合指数分布;环境因子特征量具有长尾分布特征,政法微博舆情传播符合信息生态学的互生再生规律、动态平衡、协同进化规律。文章的研究对政法机关舆情监管部门把握微博舆情传播规律及舆情控制具有一定的参考性作用。
[Purpose/Significance] Under the background of the continuous development of new media technologies represented by government microblogs,the dissemination of public opinion information on the network of politics and law has become a new problem faced by the law enforcement agencies. Research on the public opinion dissemination of the Weibo laws and microblogs helps to analyze the laws of information ecology in the dissemination of microblogs. [Method/Process] Based on the theory of information ecology,the paper constructed the public opinion ecosystem of the political,legal,and micro-blog,takes Liaocheng Yuhuan case as an example,and used Sina Weibo public opinion information as the research object,and disseminated the information subject,information environment and information in the system. The evolutionary process was analyzed. [Result/Conclusion] The research results showed that in the person factor,the number of fans and the number of attentions of users were in line with the power rate distribution and were in the tail-distribution distribution characteristics; the information factor characteristic amount conformed to the exponential distribution; the environmental factor characteristic amount had the long-tail distribution characteristic. The public opinion propagation of law and law microblog was in line with the interactive ecology,dynamic balance,coevolution and effective limit law of information ecology. The research of the article had a certain reference function for the public opinion supervision department of the political and legal department to grasp the law of Weibo's lyrical transmission and the control of public opinion.
[Purpose/Significance] Under the background of the continuous development of new media technologies represented by government microblogs,the dissemination of public opinion information on the network of politics and law has become a new problem faced by the law enforcement agencies. Research on the public opinion dissemination of the Weibo laws and microblogs helps to analyze the laws of information ecology in the dissemination of microblogs. [Method/Process] Based on the theory of information ecology,the paper constructed the public opinion ecosystem of the political,legal,and micro-blog,takes Liaocheng Yuhuan case as an example,and used Sina Weibo public opinion information as the research object,and disseminated the information subject,information environment and information in the system. The evolutionary process was analyzed. [Result/Conclusion] The research results showed that in the person factor,the number of fans and the number of attentions of users were in line with the power rate distribution and were in the tail-distribution distribution characteristics; the information factor characteristic amount conformed to the exponential distribution; the environmental factor characteristic amount had the long-tail distribution characteristic. The public opinion propagation of law and law microblog was in line with the interactive ecology,dynamic balance,coevolution and effective limit law of information ecology. The research of the article had a certain reference function for the public opinion supervision department of the political and legal department to grasp the law of Weibo's lyrical transmission and the control of public opinion.
引文
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[2]Danah boyd.Social Media Changing our Information Ecology[J].ITI Bloggers,2008,(22):112-130.
[3]Eddy B,Hearn B,Luther J,et al.An Information Ecology Approach to Science-policy Integration in Adaptive Management of Social-ecological Systems[J].Ecology and Society,2014,19(3).
[4]孙振良,宋绍成.突发事件舆情信息生态链系统的协同演化机理研究[J].情报科学,2017,35(5):30-33.
[5]朱毅华,张超群,郑德俊,等.基于信息生态学视角的网络舆情管理研究[J].情报理论与实践,2013,36(11):90-95.
[6]王建亚,宇文姝丽.网络舆情生态系统的构成及运行机制研究[J/OL].情报理论与实践,2014,37(1):55-58,16.
[7]王琳琳.基于系统动力学的突发公共事件网络舆情传播与政府应对研究[D].上海:华东师范大学,2016.
[8]姜景,刘怡君.基于信息生态学的微博舆论生态系统构建与机理研究[J].情报学报,2015,34(7):675-682.
[9]Finin T,Joshi A,Kolari P,et al.The Information Ecology of Social Media and Online Communities[J].AI Magazine,2008,29(3):77.
[10]赵丹,王晰巍,相甍甍,等.新媒体环境下的微博舆情传播态势模型构建研究——基于信息生态视角[J].情报杂志,2016,35(10):173-180.
[11]宋拓.微博信息生态链解构及运行机制研究[D].长春:吉林大学,2015.
[12]蒋录全.信息生态与社会可持续发展[M].北京:北京图书馆,2003:150-158
[13]国佳.信息生态系统下的企业信息协同模式研究[D].长春:吉林大学,2009.
[14]柯健,胡杨林啸.我国信息生态研究综述[J].情报科学,2016,34(10):163-168
[15]新浪微博.2017微博用户发展报告[EB/OL].http://data.weibo.com/report/report Detail?id=404.
[16]赵丹.基于信息生态理论的移动环境下微博舆情传播研究[D].长春:吉林大学,2017.