技术支持如何通过Quora预测政治表达:由风险评估介导并由社会动机调节

IF 2.4 3区 心理学 Q1 COMMUNICATION Cyberpsychology-Journal of Psychosocial Research on Cyberspace Pub Date : 2022-06-30 DOI:10.5817/cp2022-3-10
J. Rui, Xi Cui
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引用次数: 1

摘要

基于社会交换理论,本研究探讨了技术支持如何预测个人对社会制裁的期望,以及他们的社会动机如何调节预期社会制裁与他们使用政治表达策略之间的关系。一项针对Quora用户(N = 420)的在线调查结果显示,网络关联和匿名性对预期的社会制裁有正向的预测,这促使个人使用四种策略来策略性地表达自己的政治观点:自我审查、调整表达、访问控制和伪造。此外,当个体表现出较高的社会动机时,除访问控制外,这些中介作用始终更强。本研究为理解网络政治表达的风险评估方法提供了额外的证据,并表明用户动机可能在他们的政治表达中发挥重要作用。
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How technological affordances predict political expression via Quora: Mediated by risk appraisal and moderated by social motivation
Drawing upon social exchange theories, the present study examines how technological affordances predicted individuals’ expectation for social sanction, and how their social motivation moderated the relationship between expected social sanction and their usage of political expression strategies. Results of an online survey of Quora users (N = 420) show that network association and anonymity predicted expected social sanction positively, which motivated individuals to use four strategies to express their political opinion strategically: self-censorship, adjusting expression, access control, and faking. Furthermore, these mediations except access control were consistently stronger when individuals exhibited higher levels of social motivation. This study provides additional evidence on the risk-appraisal approach to understanding political expression online and suggests that user motivation may play an important role in their political expression.
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来源期刊
CiteScore
3.60
自引率
6.90%
发文量
39
审稿时长
50 weeks
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