Department of Linguistics, Stanford University, Stanford, CA 94305;
Department of Psychology, Stanford University, Stanford, CA 94305.
Proc Natl Acad Sci U S A. 2017 Jun 20;114(25):6521-6526. doi: 10.1073/pnas.1702413114. Epub 2017 Jun 5.
Using footage from body-worn cameras, we analyze the respectfulness of police officer language toward white and black community members during routine traffic stops. We develop computational linguistic methods that extract levels of respect automatically from transcripts, informed by a thin-slicing study of participant ratings of officer utterances. We find that officers speak with consistently less respect toward black versus white community members, even after controlling for the race of the officer, the severity of the infraction, the location of the stop, and the outcome of the stop. Such disparities in common, everyday interactions between police and the communities they serve have important implications for procedural justice and the building of police-community trust.
我们使用佩戴式摄像机拍摄的画面,分析警察在日常交通拦截中对白人社区成员和黑人社区成员的语言尊重程度。我们开发了计算语言学方法,这些方法从记录中自动提取尊重程度,同时参考了对参与者对警察用语评价的切片研究。我们发现,即使控制了警察的种族、违规的严重程度、拦截地点和拦截结果,警察对黑人社区成员的说话方式也明显缺乏尊重,而对白人社区成员则更为尊重。在警察与他们服务的社区之间的这种日常互动中存在的差异,对程序正义和建立警察与社区之间的信任具有重要意义。