Suppr超能文献

厌女症推文与针对妇女的暴力行为相关。

Misogynistic Tweets Correlate With Violence Against Women.

机构信息

School of Psychological Sciences, University of Melbourne.

Evolution and Ecology Research Centre, University of New South Wales.

出版信息

Psychol Sci. 2021 Mar;32(3):315-325. doi: 10.1177/0956797620968529. Epub 2021 Feb 16.

Abstract

How online social behavior covaries with real-world outcomes remains poorly understood. We examined the relationship between the frequency of misogynistic attitudes expressed on Twitter and incidents of domestic and family violence that were reported to the Federal Bureau of Investigation. We tracked misogynistic tweets in more than 400 areas across 47 American states from 2013 to 2014. Correlation and regression analyses found that misogynistic tweets were related to domestic- and family-violence incidents in those areas. A cross-lagged model showed that misogynistic tweets positively predicted domestic and family violence 1 year later; however, this effect was small. Results were robust to several known predictors of domestic violence. Our findings identify geolocated online misogyny as co-occurring with domestic and family violence. Because the longitudinal relationship between misogynistic tweets and domestic and family violence was small and conducted at the societal level, more research with multilevel data might be useful in the prediction of future violence.

摘要

人们对线上社交行为与现实世界结果之间的关联还知之甚少。我们研究了在推特上表达厌女态度的频率与向联邦调查局报告的家庭暴力和家庭内暴力事件之间的关系。我们追踪了 2013 年至 2014 年来自美国 47 个州 400 多个地区的厌女推文。相关性和回归分析发现,在这些地区,厌女推文与家庭内和家庭暴力事件有关。交叉滞后模型显示,厌女推文积极预测一年后发生的家庭和家庭暴力;然而,这种影响很小。研究结果在多种已知的家庭暴力预测因素下仍然成立。我们的研究结果表明,定位在地理区域的线上厌女行为与家庭和家庭暴力同时发生。由于厌女推文与家庭和家庭暴力之间的纵向关系较小,并且是在社会层面上进行的,因此使用多层次数据进行更多研究可能有助于预测未来的暴力行为。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验