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网络舆情结构逆转的影响因素分析与应对策略

—基于系统结构建模方法的研究
Analysis of Influencing Factors of Online Public Opinion Structure Reversal and Coping Strategies:
System Structural Modeling Approach
李坪洛Ll Ping-luo;陈曦CHEN Xi;肖人彬XIAO Ren-bin
华中科技大学人工智能与自动化学院,武汉430074)
( School of Artificial Intelligence and Automation,Huazhong University of Science and'Technology , Wuhan 430074,China)


摘要:网络舆情结构逆转作为网络舆情演化中的一种特殊现象,描述的是网络社会中群体话语权结构可能产生变化的过程.相对常见的“舆情结果反转",结构逆转可能会对政策议程设置、政府决策实施造成更大的影响,故清晰识别和准确分析影响话语权结构逆转的各种因素极为迫切与必要.本文通过对比分析,阐释了网络舆情结构逆转的基本概念,并结合典型实例与重要文献,从社会层面、传播平台.传播个体以及传播内容对相关影响因素进行梳理总结,提炼出了35个网络舆情结构逆转的影响因素﹐并利用系统结构建模方法构建了影响因素层次结构模型,进而识别了各因素间的层次关系及作用路径,这可为网络舆情结构逆转现象的调控治理提供理论支撑。
Abstract: As a special phenomenon in the evolution of online public opinion, the reversal of online public opinion structure describesthe process of possible changes in the structure of group discourse power in the network society.Relatively common "public opinioninversion" , the reversal of online public opinion structure may have a greater impact on policy agenda setting and govermment decision-making implementation, so it is extremely urgent and necessary to clearly identify and accurately analyze the various factors that affect thereversal of the discourse power structure. Through comparative analysis,this paper explains the basic concept of online public opinionstructure reversal, combines typical examples and important documents to sort out and summarize relevant inluencing factors from the sciallevel, communication platform, communication individual and communication content. On this basis, 35 influencing factors of the reversal ofonline public opinion structure were extracted. At last, a hierarchical structure model of influencing factors was constnucted by using theinterpretive stnuctural modeling,and the hierarchical relationship and action path among various factors were identified, which providedtheoretical support for the regulation and governance of online public opinion structural reversal phenomena.
关键词:网络舆情演化;网络舆情结构逆转;话语权;解释结构模型;舆情治理
Key words: opinion evolution; online public opinion structure reversal; discourse power; Interpretive Structural Modeling; publicopinion governance

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