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Cyber-aggression towards women: Measurement and psychological predictors in gaming communities
Computers in Human Behavior ( IF 8.957 ) Pub Date : 2021-02-23 , DOI: 10.1016/j.chb.2021.106753
Arvin Jagayat , Becky L. Choma

Approximately 52% of young women report receiving threatening messages, sharing of their private photos by others without their consent, or sexual harassment online – examples of cyber-aggression towards women. A scale to measure endorsement of cyber-aggression towards women was developed to be inclusive of the many contemporary ways that women are targeted online. We examined sociopolitical ideologies (right-wing authoritarianism, social dominance orientation) and perceived threats (based on the Dual Process Motivational Model of Ideology and Prejudice, as well as Integrated Threat Theory) as predictors of endorsement of cyber-aggression towards women in three studies (Pilot Study, n = 46; Study 1, n = 276; Study 2, n = 6381). Study 1 and 2 participants were recruited from online video gaming communities; Study 2 comprised responses collected during or after a livestream of YouTubers doing the survey went viral. The YouTubers criticized feminism and alleged that female gamers had privilege in the gaming community. In all three studies, exploratory factor analyses suggested endorsement of cyber-aggression towards women is a unidimensional psychological construct and the scale demonstrated great internal reliability. In path analyses, social dominance orientation emerged as the most consistent predictor of endorsement of cyber-aggression towards women, mediated, in part, by perceived threats.



中文翻译:

对女性的网络侵害:游戏社区中的测评和心理预测指标

大约52%的年轻女性报告收到威胁信息,未经他人同意他人共享自己的私人照片,或者在网上进行性骚扰-网络攻击女性的例子。已开发出一种衡量对女性的网络攻击认可度的量表,以涵盖妇女在网上定位的许多现代方式。在三项研究中,我们考察了社会政治意识形态(右翼威权主义,社会支配取向)和感知到的威胁(基于意识形态和偏见的双重过程动机模型以及综合威胁理论)作为网络攻击对女性的认可的预测指标(试点研究,n  = 46;研究1,n  = 276;研究2,n = 6381)。研究1和2的参与者是从在线视频游戏社区招募的;研究2包含在进行调查的YouTubers直播期间或之后传播的病毒式传播的反馈。YouTubers批评女权主义,并声称女性游戏玩家在游戏社区享有特权。在所有三项研究中,探索性因素分析表明,对女性的网络攻击行为的认可是一维的心理结构,并且该量表显示出很高的内部可靠性。在路径分析中,社会支配取向已成为网络攻击对妇女的认可的最一致预测指标,其部分原因是感知到的威胁。

更新日期:2021-03-09
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