使用例行活动理论来预测技术促进的暴力在美国. 在COVID-19期间成年人
1Department of Psychology, Florida International University, Miami, FL, USA.
Violence against women
|January 29, 2025
概括
技术促进的暴力,包括网络痴迷追求受害和网络攻击,是由目标吸引力和技术使用预测的. 过去的亲密伴侣暴力经历是COVID-19期间受害的重要预测因素.
科学领域:
- 犯罪学 犯罪学
- 网络心理学 网络心理学
- 社会学 社会学 社会学
背景情况:
- 常规活动理论 (RAT) 提供了一个理解犯罪的框架,假定犯罪发生在一个有动机的犯罪者和一个合适的目标在空间和时间上融合时,在没有有能力的监护人的情况下.
- 技术促进的暴力越来越普遍,需要对其独特的预测因素和动态进行研究,特别是在COVID-19流行病等全球事件的背景下.
研究的目的:
- 调查两种形式的技术助力暴力的预测因素:网络强迫追求受害 (COPV) 和网络攻击关系尺度 (CARS).
- 在COVID-19大流行期间,在美国成年人中,在常规活动理论 (RAT) 的框架内检查这些预测因素.
主要方法:
- 一项使用2,975名美国成年人调查数据的定量研究.
- 分析采用回归模型来确定COPV和CARS的重要预测因素.
主要成果:
- 目标吸引力 (性别,年龄,种族/种族) 预测了亲密和非亲密的网络暴力.
- 技术使用和感知到的隐私保护能力与两种类型的网络暴力有关.
- 对亲密伴侣暴力的先前经历是对COPV和CARS受害的最强有力的预测因素.
结论:
- 人口特征和技术参与在技术促进的暴力受害中发挥着作用.
- 过去的人际暴力经历显著增加了对网络暴力形式的脆弱性.
- 调查结果强调了需要综合战略来解决在线和离线暴力预防的问题.
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