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A Systems Dynamics Simulation Study of Network Public Opinion Evolution Mechanism

机译:网络舆情演化机制的系统动力学仿真研究

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摘要

The factors that affect formation and dissemination of public opinion have been studied for a long time. However, the findings are disparate and fragmented, given the characteristics of netizens and new media in the Big Data era. To this end, this article introduces eight mechanisms working on formation and dissemination of public opinion on network. Based on system dynamics, this article further proposes a comprehensive causal relationship model to explore the factors affecting the consequence of public opinion on network. Particularly, the role of government is taken into consideration in this model. A simulation with Vensim PLE is conducted. The results of the simulation indicate that group polarization among netizens, opinion leaders, the quantity of media audience, the frequency of media report, government attention, and warning mechanism for public opinion crisis affect the consequence of public opinion on network significantly. Implications of the findings are discussed.
机译:影响舆论形成和传播的因素已经研究了很长时间。但是,考虑到大数据时代网民和新媒体的特征,研究结果截然不同且分散。为此,本文介绍了八种机制,用于网络舆论的形成和传播。基于系统动力学,本文进一步提出了一种全面的因果关系模型,以探讨影响网络舆情后果的因素。特别是在此模型中考虑了政府的作用。用Vensim PLE进行仿真。仿真结果表明,网民,舆论领袖,媒体受众数量,媒体报道频率,政府关注度,舆论危机预警机制之间的群体分化对网络舆情的影响有显着影响。讨论结果的含义。

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