数字技术是否减少了种族偏见的报道? 来自纽约警察局行政数据的证据
Jeremy Watson1, Gordon Burtch2, Brad N Greenwood3
1Carlson School of Management, University of Minnesota-Twin Cities, Minneapolis, MN 55455.
概括
像智能手机这样的数字监控工具显著增加了警察拦截报告,揭示了更多的"非生产性"和种族偏见的互动. 这项技术有助于减轻执法数据中的报告偏差.
科学领域:
- 犯罪学 犯罪学
- 社会学 社会学 社会学
- 公共政策 公共政策
背景情况:
- 关于警察与公民互动的研究受到偏见的行政数据的限制,这些数据低估了观察到但未经调查的平民.
- 警方调查中的报告偏见,与采样偏见不同,经验上得到的关注较少.
- 数字监控工具可能提供一种方法来缓解执法数据中的报告偏差.
研究的目的:
- 调查行政警察数据中的报告偏见.
- 检查数字监控工具,特别是智能手机,是否有助于缓解这些报告偏见.
- 评估数字工具对警察与公民互动报告的影响.
主要方法:
- 使用分级差异差异估计方法.
- 在纽约市警察局采用智能手机后,检查了警察与公民互动报告的变化.
- 分析了报告的停车站的特点,包括生产力,公民种族和位置.
主要成果:
- 在智能手机部署后,报告的公民停止的数量显著增加.
- 报告的增加是由"非生产性"停车场的更多文件驱动的.
- 涉及非白人公民和高犯罪率/非白人地区的拦截报告也大幅增加.
结论:
- 之前的研究可能低估了警务中的种族偏见的程度,因为报告偏见.
- 实施数字监控工具可以帮助减轻执法数据中的报告偏差.
- 数字工具提供了一个更全面的记录,尽管可能仍然存在偏见,记录了警察与公民的接触.
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