Longitudinal Relations Between Early Online Disinhibition and Anonymity Perceptions on Later Cyberbullying Perpetration: A Theoretical Test on Youth

Q1 Social Sciences Psychology of Popular Media Culture Pub Date : 2018-10-01 DOI:10.1037/ppm0000149
Christopher P. Barlett, Kaitlyn Helmstetter
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引用次数: 33

Abstract

Elucidating the psychological mechanisms involved in predicting cyberbullying perpetration is an important step in creating or modifying intervention efforts to help reduce this harmful behavior. The current study employed a short-term longitudinal design with US youth (average age = 14.34 years) to examine a possible expansion of the Barlett and Gentile Cyberbullying Model (BGCM)—a learning-based social model focused on predicting cyberbullying perpetration from procyberbullying attitudes, anonymity perceptions, and the belief that physical stature is irrelevant online. We tested whether online disinhibition could add more predictive power to this model. Participants (N = 145) completed measures of these aforementioned constructs at baseline and again 6 months later. Results showed that the original derivation of the BGCM was replicated; however, online disinhibition did not predict cyberbullying attitudes longitudinally. This suggests that online disinhibition, although correlated with cyberbullying perpetration, is not likely a learned consequence of continued cyberbullying.
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早期网络去抑制与匿名认知对后期网络欺凌行为的纵向关系——对青少年的理论检验
阐明预测网络欺凌行为的心理机制是制定或修改干预措施以帮助减少这种有害行为的重要一步。目前的研究采用了一项针对美国年轻人(平均年龄=14.34岁)的短期纵向设计,以检验Barlett和Gentile网络欺凌模型(BGCM)的可能扩展。BGCM是一种基于学习的社会模型,专注于从爱发牢骚的态度、匿名感和认为身材与网络无关的信念来预测网络欺凌的实施。我们测试了在线去抑制是否可以为这个模型增加更多的预测能力。参与者(N=145)在基线时和6个月后再次完成了上述结构的测量。结果表明,BGCM的原始推导是重复的;然而,网络去抑制并不能纵向预测网络欺凌的态度。这表明,网络去抑制虽然与网络欺凌行为相关,但不太可能是持续网络欺凌的习得后果。
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来源期刊
CiteScore
4.80
自引率
0.00%
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0
期刊介绍: Psychology of Popular Media Culture ® is a scholarly journal dedicated to publishing empirical research and papers on how popular culture and general media influence individual, group, and system behavior. The journal publishes rigorous research studies, as well as data-driven theoretical papers on constructs, consequences, program evaluations, and trends related to popular culture and various media sources. Although the journal welcomes and encourages submissions from a wide variety of disciplines, topics should be linked to psychological theory and research.
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