通过信息处理塑造信任:危机中社交媒体风险信息如何影响政府信任。

IF 3.3 3区 医学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Risk Analysis Pub Date : 2025-09-11 DOI:10.1111/risa.70108
Qixi Zhong, Zongchao Peng, Xiaojun Zhang
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引用次数: 0

摘要

信任塑造是社交媒体时代政府风险管理的重要内容。迄今为止的研究主要集中在危机中接触社交媒体风险信息对政府信任的负面影响上,这种负面影响主要通过增加信任因素的可见性和刺激负面认知来实现。本研究从信息不足的角度提出了另一种可能的解释,并利用来自中国的18949份问卷数据对其进行了实证检验。结果表明:社交媒体风险信息对中央政府信任有正向影响,并被信息不足充分中介;对地方政府信任有负向影响,并被负向情感风险反应充分中介。这项研究还考察了社交媒体环境的矛盾性质,在这种环境中,真相和错误信息并存。错误信息通过减少信息不足而不是增加负面情感风险反应来调节风险事实对政府信任的影响。本研究通过区分政府层级、引入信息不足的中介作用,以及检验矛盾信息环境的潜在积极影响,增强了我们对社交媒体时代危机时期政府信任动态的理解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Shaping Trust Through Information Processing: How Social Media Risk Information Affects Government Trust During a Crisis.

Trust-shaping is an important element of government risk management in the social media era. Studies to date have focused on the negative impact of exposure to social media risk information on government trust in a crisis, which mainly transpires by increasing the visibility of trust factors and stimulating negative perceptions. This study proposes another possible explanation from the perspective of information insufficiency and empirically tests it using 18,949 questionnaire data from China during a major emerging pandemic. The results show that social media risk information has a positive effect on central government trust, fully mediated by information insufficiency, and a negative effect on local government trust, fully mediated by negative affective risk response. This study also examined the paradoxical nature of the social media environment, in which truth and misinformation coexist. Misinformation was found to moderate the effect of risk facts on government trust by decreasing information insufficiency rather than increasing negative affective risk response. By distinguishing between levels of government, introducing a mediating role for information insufficiency, and examining the potential positive effects of ambivalent information environments, this study enhances our understanding of the dynamics of government trust during a crisis in the social media era.

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来源期刊
Risk Analysis
Risk Analysis 数学-数学跨学科应用
CiteScore
7.50
自引率
10.50%
发文量
183
审稿时长
4.2 months
期刊介绍: Published on behalf of the Society for Risk Analysis, Risk Analysis is ranked among the top 10 journals in the ISI Journal Citation Reports under the social sciences, mathematical methods category, and provides a focal point for new developments in the field of risk analysis. This international peer-reviewed journal is committed to publishing critical empirical research and commentaries dealing with risk issues. The topics covered include: • Human health and safety risks • Microbial risks • Engineering • Mathematical modeling • Risk characterization • Risk communication • Risk management and decision-making • Risk perception, acceptability, and ethics • Laws and regulatory policy • Ecological risks.
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