规模分化减少了客户的种族歧视和收入不平等
Tristan L Botelho1, Sora Jun2, Demetrius Humes3
1Yale School of Management, Yale University, New Haven, CT, USA. tristan.botelho@yale.edu.
Nature
|February 19, 2025
概括
在线客户评价中消除了种族歧视. 这种简单的变化确保了非白人工人的公平报酬,
科学领域:
- 社会心理学
- 行为经济学
- 社会学
背景情况:
- 目前的解决方案主要针对雇主.
- 客户对这些平台的评价受到个人偏见的影响,
研究的目的:
- 提出并测试面向客户的干预措施,以减轻在线评估中的种族歧视.
- 研究评级尺度设计对减少微妙的种族偏见的影响.
主要方法:
- 在家庭服务平台上进行一项近乎自然的实验,比较五星级和二分制 (指上/下) 评级表.
- 预先注册的实验,以检查不同类型的评估器之间的二分化效应的机制和普遍性.
主要成果:
- 两性化消除了种族歧视,非白人工人不再受到较低的评级.
- 在具有现代种族主义信仰的评价者中, 均衡效应最为明显.
- 这项研究确定了二分化减少绩效评估偏差的机制.
结论:
- 简单地转向二分级评级表, 能够有效地打击在线平台的基于种族的歧视.
- 这种方法提供了一个切实可行的解决方案,
- 这些发现有助于理解评估过程,并减轻数字市场的种族不平等.
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