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Escalated police stops of Black men are linguistically and psychologically distinct in their earliest moments.
Rho, Eugenia H; Harrington, Maggie; Zhong, Yuyang; Pryzant, Reid; Camp, Nicholas P; Jurafsky, Dan; Eberhardt, Jennifer L.
Afiliação
  • Rho EH; Department of Computer Science, Virginia Tech, Blacksburg, VA 24061.
  • Harrington M; Department of Psychology, Stanford University, Stanford, CA 94305.
  • Zhong Y; Department of Organizational Studies, University of Michigan, Ann Arbor, MI 48109.
  • Pryzant R; Department of Computer Science, Stanford University, Stanford, CA 94305.
  • Camp NP; Department of Organizational Studies, University of Michigan, Ann Arbor, MI 48109.
  • Jurafsky D; Department of Computer Science, Stanford University, Stanford, CA 94305.
  • Eberhardt JL; Department of Linguistics, Stanford University, Stanford, CA 94305.
Proc Natl Acad Sci U S A ; 120(23): e2216162120, 2023 06 06.
Article em En | MEDLINE | ID: mdl-37253013
Across the United States, police chiefs, city officials, and community leaders alike have highlighted the need to de-escalate police encounters with the public. This concern about escalation extends from encounters involving use of force to routine car stops, where Black drivers are disproportionately pulled over. Yet, despite the calls for action, we know little about the trajectory of police stops or how escalation unfolds. In study 1, we use methods from computational linguistics to analyze police body-worn camera footage from 577 stops of Black drivers. We find that stops with escalated outcomes (those ending in arrest, handcuffing, or a search) diverge from stops without these outcomes in their earliest moments-even in the first 45 words spoken by the officer. In stops that result in escalation, officers are more likely to issue commands as their opening words to the driver and less likely to tell drivers the reason why they are being stopped. In study 2, we expose Black males to audio clips of the same stops and find differences in how escalated stops are perceived: Participants report more negative emotion, appraise officers more negatively, worry about force being used, and predict worse outcomes after hearing only the officer's initial words in escalated versus non-escalated stops. Our findings show that car stops that end in escalated outcomes sometimes begin in an escalated fashion, with adverse effects for Black male drivers and, in turn, police-community relations.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Negro ou Afro-Americano / Polícia / Aplicação da Lei Tipo de estudo: Prognostic_studies Limite: Humans / Male País/Região como assunto: America do norte Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Negro ou Afro-Americano / Polícia / Aplicação da Lei Tipo de estudo: Prognostic_studies Limite: Humans / Male País/Região como assunto: America do norte Idioma: En Ano de publicação: 2023 Tipo de documento: Article