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Race and Privacy in Broadcast Police Communications

Published: 08 November 2024 Publication History

Abstract

Radios are essential for the operations of modern police departments, and they function as both a collaborative communication technology and a sociotechnical system. However, little prior research has examined their usage or their connections to individual privacy and the role of race in policing, two growing topics of concern in the US. As a case study, we examine the Chicago Police Department's (CPD's) use of broadcast police communications (BPC) to coordinate the activity of law enforcement officers (LEOs) in the city. From a recently assembled archive of 80,775 hours of BPC associated with CPD operations, we analyze human-generated text transcripts of radio transmissions broadcast 9:00 AM to 5:00 PM on August 10th, 2018 in one majority Black, one majority White, and one majority Hispanic area of the city (24 hours of audio) to explore four research questions: (1) Do BPC reflect reported racial disparities in policing? (2) How and when is gender, race/ethnicity, and age mentioned in BPC? (3) To what extent do BPC include sensitive information, and who is put at most risk by this practice? (4) To what extent can large language models (LLMs) heighten this risk? We explore the vocabulary and speech acts used by police in BPC, comparing mentions of personal characteristics to local demographics, the personal information shared over BPC, and the privacy concerns that it poses. Analysis indicates (a) policing professionals in the city of Chicago exhibit disproportionate attention to Black members of the public regardless of context, (b) sociodemographic characteristics like gender, race/ethnicity, and age are primarily mentioned in BPC about event information, and (c) disproportionate attention introduces disproportionate privacy risks for Black members of the public. This study shows BPC can provide a novel window into disproportionate attention (i.e., via radio communications) by law enforcement officers to specific racial groups, leading to increased privacy vulnerability for those groups, particularly Black males.

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  • (2024)Speech Recognition For Analysis of Police Radio Communication2024 IEEE Spoken Language Technology Workshop (SLT)10.1109/SLT61566.2024.10832157(906-912)Online publication date: 2-Dec-2024

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cover image Proceedings of the ACM on Human-Computer Interaction
Proceedings of the ACM on Human-Computer Interaction  Volume 8, Issue CSCW2
CSCW
November 2024
5177 pages
EISSN:2573-0142
DOI:10.1145/3703902
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  1. broadcast police communication
  2. lexical analysis
  3. policing disparities
  4. privacy vulnerability
  5. qualitative coding
  6. social informatics

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  • (2024)Speech Recognition For Analysis of Police Radio Communication2024 IEEE Spoken Language Technology Workshop (SLT)10.1109/SLT61566.2024.10832157(906-912)Online publication date: 2-Dec-2024

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