当地的贫困预测英国的右翼仇恨犯罪
Margherita Belgioioso1, Christoph Dworschak2, Kristian Skrede Gleditsch3,4
1School of Politics and International Studies, University of Leeds, Leeds, United Kingdom.
PloS one
|September 6, 2023
概括
社区的贫困可能会增加右翼激进化的风险. 当地贫困数据改善了对右翼仇恨犯罪的预测,这表明减少贫困可以减轻政治暴力.
科学领域:
- 社会科学 社会科学 社会科学
- 犯罪学 犯罪学
- 政治科学 政治科学是指政治学.
背景情况:
- 经历贫困与对机构的信任受到侵蚀以及与异化增加有关.
- 之前的研究发现,有限的个人层面证据将剥夺和激进化联系在一起.
- 右翼激进化和仇恨犯罪带来了重大的社会挑战.
研究的目的:
- 调查社区贫困与右翼激进化之间的关系.
- 评估当地贫困数据是否可以提高仇恨犯罪地点的预测.
- 探索解决贫困问题以预防政治暴力的潜力.
主要方法:
- 用英格兰的高度分类的数据.
- 分析了当地贫困措施与右翼仇恨犯罪事件之间的相关性.
- 基于剥夺数据,开发了仇恨犯罪地点的预测模型.
主要成果:
- 当地贫困数据显著提高了对右翼仇恨犯罪地点的预测准确度.
- 社区层面的贫困是预测仇恨犯罪的空间分布的一个关键因素.
- 这项研究为剥夺和局部激进化结果之间的联系提供了实证支持.
结论:
- 减少社区贫困可能是一个有效的策略,以减轻政治暴力和仇恨犯罪.
- 针对前期极右翼暴力的结构性促进者是后期措施的可行补充.
- 当地贫困指标为积极预防犯罪和政策干预提供了宝贵的见解.
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