使用常规活动理论预测新冠肺炎期间美国成年人中技术促进的暴力行为。

IF 1.7 3区社会学 Q1 WOMENS STUDIES

Violence Against Women Pub Date : 2025-01-29 DOI:10.1177/10778012241313482

Nina Dours, Asia A Eaton

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引用次数: 0

摘要

本研究利用常规活动理论（RAT），在美国成年人样本（N = 2975）中调查了两种类型的技术促进暴力的预测因素：网络强迫性追求受害（COPV）和人际关系中的网络攻击量表（CARS）。结果显示，性别、年龄和种族/民族背景方面的目标吸引力预测了亲密（CARS）和非亲密（COPV）网络暴力。对于目标暴露，技术使用和保护个人隐私的感知能力预测了这两种类型的网络暴力。以往的亲身亲密伴侣暴力经历解释了两种类型的技术促进的暴力受害的最大差异。

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Using Routine Activity Theory to Predict Technology- Facilitated Violence Among U.S. Adults During COVID-19.

Using routine activity theory (RAT), the present study investigated predictors of two types of technology-facilitated violence: cyber obsessional pursuit victimization (COPV) and Cyber Aggression in Relationships Scale (CARS), during COVID-19 among a sample of U.S. adults (N = 2,975). Results revealed that target attractiveness in terms of gender, age, and racial/ethnic background predicted both intimate (CARS) and nonintimate (COPV) cyber violence. For target exposure, technology use and the perceived ability to protect one's privacy predicted both types of cyber violence. Previous experience of in-person intimate partner violence explained the largest amount of variance in both types of technology-facilitated violence victimization.

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来源期刊

Violence Against Women WOMENS STUDIES-

CiteScore

4.10

自引率

4.50%

发文量

142

期刊介绍： Violence against Women is an international, interdisciplinary journal dedicated to the publication of research and information on all aspects of the problem of violence against women. The journal assumes a broad definition of violence; topics to be covered include, but are not limited to, domestic violence, sexual assault, incest, sexual harassment, female infantcide, female circumcision, and female sexual slavery.