暴民心理:社会规范影响警察不正当暴力行为的认同和道德感知

IF 3.5 2区 社会学 Q1 SOCIOLOGY
Kevin Kryston
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引用次数: 0

摘要

研究表明,人们对暴力的反应——以及媒体描绘暴力的方式——受到直觉道德判断的影响,这种道德判断是由定义对错的社会线索形成的。本研究利用情感倾向理论(ADT)和社会规范研究,探讨了群发信息,特别是社会规范的传播,如何影响警察暴力背景下的道德行为感知。在一项预先登记的实验中,参与者阅读了一篇关于一名警察因不正当暴力而受到惩罚的新闻文章,随后是支持或反对惩罚的社会评论。阅读反对惩罚的评论会让读者更积极地看待该警官的暴力行为,并提高对该警官道德的看法。研究结果强调了社会线索如何影响对暴力和道德评价的认可,并就其对媒体处理理论、公民话语和态度形成的影响进行了讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mob mentality: Social norms affect the approval and perceived morality of unjustified police violence
Research indicates that people's responses to violence—and the way media portrays said violence—are influenced by intuitive moral judgments shaped by social cues that define right and wrong. Leveraging affective disposition theory (ADT) and social norms research, this study explored how group messaging, specifically the communication of social norms, affects perceptions of moral behavior in the context of police violence. In a preregistered experiment, participants read a news article about a police officer who was punished for unjustified violence, followed by social comments either supporting or opposing the punishment. Exposure to comments that opposed the punishment led readers to view the officer's violent actions more favorably and boosted perceptions of the officer's morality. Findings highlight how social cues influence approval of violence and moral appraisals, and are discussed in terms of their implications for media processing theories, civic discourse, and attitude formation.
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来源期刊
CiteScore
4.30
自引率
4.00%
发文量
0
审稿时长
65 days
期刊介绍: Social Science Research publishes papers devoted to quantitative social science research and methodology. The journal features articles that illustrate the use of quantitative methods in the empirical solution of substantive problems, and emphasizes those concerned with issues or methods that cut across traditional disciplinary lines. Special attention is given to methods that have been used by only one particular social science discipline, but that may have application to a broader range of areas.
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