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网民情绪的转移模型与引导策略

The Transfer Model and Guidance Strategy of Netizens' Emotions.

作者信息

Wen Zhitao, Xia Yixue, Liu Mo, Lan Yuexin

机构信息

Research Center for Network Public Opinion Governance, China People's Police University (CPPU), Langfang, China.

出版信息

Front Psychol. 2022 May 19;13:880322. doi: 10.3389/fpsyg.2022.880322. eCollection 2022.

DOI:10.3389/fpsyg.2022.880322
PMID:35664129
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9162298/
Abstract

In the context of the COVID-19 pandemic, a large amount of information is gathered on Internet platforms, through which people express their opinions and vent their emotions. Emotional guidance of netizens has become an important part of social governance during turbulences caused by a so-called "infodemic". This study focuses on the evolution and interaction of netizens' emotions after the occurrence of network public opinion events. First, the transfer model of netizens' emotions is constructed, and the significance of each parameter in the model is studied through simulation. Then, based on the model, we put forward the optimization method and quantitative method of guidance strategy of netizens' emotions. Finally, the empirical study proves the effectiveness of the model, which can provide a theoretical basis for the emotional guidance strategies after the outbreak of network public opinion events.

摘要

在新冠疫情背景下，互联网平台上收集了大量信息，人们通过这些平台表达观点、宣泄情绪。在所谓“信息疫情”引发的动荡时期，对网民进行情绪引导已成为社会治理的重要组成部分。本研究聚焦于网络舆情事件发生后网民情绪的演变与互动。首先，构建网民情绪传播模型，并通过仿真研究模型中各参数的意义。然后，基于该模型提出网民情绪引导策略的优化方法和量化方法。最后，实证研究证明了该模型的有效性，可为网络舆情事件爆发后的情绪引导策略提供理论依据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e61b/9162298/3aebdf3ed6ea/fpsyg-13-880322-g0017.jpg
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Getting worse or getting better? Understanding the antecedents and consequences of emotion profile transitions during COVID-19-induced organizational crisis.情况恶化还是好转？了解 COVID-19 引发的组织危机期间情绪特征转变的前因后果。
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Is Fear of COVID-19 Contagious? The Effects of Emotion Contagion and Social Media Use on Anxiety in Response to the Coronavirus Pandemic.
对新冠病毒传播的恐惧具有传染性吗？情绪传染和社交媒体使用对冠状病毒大流行引发的焦虑的影响。
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