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社交媒体如何影响公众对新冠疫情治理政策的态度:基于认知-情感模型的分析

How Social Media Influences Public Attitudes to COVID-19 Governance Policy: An Analysis Based on Cognitive-Affective Model.

作者信息

Han Ruixia, Xu Jian

机构信息

School of Media and Communication, Shanghai Jiao Tong University, Shanghai, 200240, People's Republic of China.

Institute of Cultural Innovation and Youth Development, Shanghai Jiao Tong University, Shanghai, 200240, People's Republic of China.

出版信息

Psychol Res Behav Manag. 2022 Aug 10;15:2083-2095. doi: 10.2147/PRBM.S371551. eCollection 2022.

Abstract

INTRODUCTION

Based on the cognitive-affective model, this paper examines how social media affects the public cognitive and affective factors, further influence their attitudes towards COVID-19 governance policy.

METHODS

Through an online survey, we measured individual COVID-19 policy attitude, social media use and other related factors of 1222 respondents from 12 countries, and based on this, we carried out regression and mediation analysis on the data to obtain the research results.

RESULTS

From the perspective of cognitive factors, the public perception of the severity of the COVID-19 itself does not significantly affect their attitudes towards governance policy. On the contrary, the evaluation on government governance performance, risks and governance anticipations have more significant impacts. Among the affective factors, personal anxiety and patriotism significantly affect the formation of public attitudes, personal anxiety is positively correlated, and patriotism is negatively correlated. It is important to note that nationalism has no significant influence on public attitudes to COVID-19 policy on a global scale.

CONCLUSION

(1) Social media influences the public COVID-19 policy attitudes through their moderating effect on affective and cognitive factors. (2) The impact of social media on affective pathways is more significant than that on cognitive pathways. (3) The positive moderating effect of social media on patriotism obscures the tendency of strict governance of COVID-19 caused by aggravating people's anxiety.

摘要

引言

基于认知-情感模型,本文探讨社交媒体如何影响公众的认知和情感因素,进而影响他们对新冠疫情治理政策的态度。

方法

通过在线调查,我们测量了来自12个国家的1222名受访者的个人新冠疫情政策态度、社交媒体使用情况及其他相关因素,并在此基础上对数据进行回归和中介分析以得出研究结果。

结果

从认知因素来看,公众对新冠疫情本身严重程度的认知对其治理政策态度没有显著影响。相反,对政府治理绩效、风险和治理预期的评价有更显著的影响。在情感因素中,个人焦虑和爱国主义显著影响公众态度的形成,个人焦虑呈正相关,爱国主义呈负相关。需要注意的是,在全球范围内,民族主义对公众对新冠疫情政策的态度没有显著影响。

结论

(1)社交媒体通过对情感和认知因素的调节作用影响公众对新冠疫情政策的态度。(2)社交媒体对情感路径的影响比对认知路径的影响更显著。(3)社交媒体对爱国主义的正向调节作用掩盖了因加剧人们焦虑而导致的对新冠疫情严格治理的倾向。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/85f9/9375983/7169e154a57d/PRBM-15-2083-g0001.jpg

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