健康危机舆情视频中视觉离散情绪对公众卷入的唤醒机制——基于VAR模型的实证研究  

Arousal Mechanism of Visual Discrete Emotions on Public Involvement in Health Crisis Public Opinion Videos:An Empirical Study Based on VAR Model

作　　者：何颖 刘嘉琪 宋希东 He Ying;Liu Jiaqi;Song Xidong(School of Economics and Management,Beijing University of Posts and Telecommunications,Beijing 100876;Institute of Journalism and Communication,Chinese Academy of Social Sciences,Beijing 100021)

机构地区：[1]北京邮电大学经济管理学院,北京100876 [2]中国社会科学院新闻与传播研究所,北京100021

出　　处：《情报探索》2024年第4期1-8,共8页Information Research

基　　金：国家社会科学基金青年项目“社交媒体时代重大疫情公众网络舆情卷入特征、机制及引导策略研究”(项目编号:21CXW019)成果之一。

摘　　要：[目的/意义]健康危机事件可能会对受众产生持续性影响,厘清舆论视频中公众的情感震荡规律和卷入机制有助于业界和学界掌握、预判民间舆论场的动态发展趋势。[方法/过程]以Bilibili视频社交平台为例,借助情绪传染理论建构VAR时间序列模型,以此对420个舆情视频中发布者的面部离散情绪震荡规律与公众动态卷入机制进行深入剖析。[结果/结论]不同类型面部情绪对公众卷入存在差异化影响,其中厌恶情绪是健康危机中的重要导火索,在所有情绪中最快速、最迅猛地引发公众卷入高潮。总体来看,对公众卷入影响最强烈的是高唤醒消极情绪,其次是低唤醒消极情绪,影响最微弱的是积极情绪和中立情绪。[Purpose/significance]Health crisis events may have a sustained impact on the audience.Clarifying the emotional oscillation patterns and involvement mechanisms of the public in public opinion videos can help the industry and academia grasp and predict the dynamic development trends of the public opinion field.[Method/process]This paper takes the Bilibili video social platform as an example,constructs a VAR time series model using the theory of emotional contagion,and deeply analyzes the facial discrete emotional oscillation patterns and public dynamic involvement mechanisms of publishers in 420 public opinion videos.[Result/conclusion]Different types of facial emotions have a differentiated impact on public involvement,with aversion being an important trigger in health crises,triggering the fastest and most rapid climax of public involvement among all emotions.Overall,the strongest impact on public involvement is on negative high arousal emotions,followed by negative low arousal emotions,and the weakest impact is on positive and neutral emotions.

关 键 词：健康危机 舆情视频 视觉情绪传染 公众卷入 唤醒机制 

分 类 号：G206[文化科学—传播学]