| Literature DB >> 28584085 |
Rob Voigt1, Nicholas P Camp2, Vinodkumar Prabhakaran3, William L Hamilton3, Rebecca C Hetey2, Camilla M Griffiths2, David Jurgens3, Dan Jurafsky4,3, Jennifer L Eberhardt5.
Abstract
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.Entities:
Keywords: natural language processing; policing; procedural justice; racial disparities; traffic stops
Mesh:
Year: 2017 PMID: 28584085 PMCID: PMC5488942 DOI: 10.1073/pnas.1702413114
Source DB: PubMed Journal: Proc Natl Acad Sci U S A ISSN: 0027-8424 Impact factor: 11.205