JOURNAL ARTICLE
The Boys in Blue Are Watching You: The Shifting Metropolitan Landscape and Big Data Police Surveillance in the United States.
Published In: Social Problems, 2024, v. 71, n. 3. P. 912 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Duxbury, Scott W; Andrabi, Nafeesa 3 of 3
Abstract
This article examines the expansion of proactive police surveillance in U.S. metropolitan areas through the lens of big data policing, focusing on how recent changes in residential segregation influence this trend. Using a newly developed measure of big data police surveillance and data from 381 metropolitan statistical areas between 2009 and 2019, the study finds that increases in sprawling economic segregation—defined as income segregation between municipalities—are strongly associated with the rise in big data surveillance, whereas racial segregation and overall income inequality show no such positive relationship. The findings partially support racial threat theory by showing an inverse association between racial segregation and surveillance but contradict the carceral state hypothesis, which predicts that racial segregation and income inequality increase policing. This research highlights the importance of economic segregation in shaping contemporary policing practices and contributes a novel empirical measure of big data surveillance technologies used by law enforcement.
Additional Information
- Source:Social Problems. 2024/08, Vol. 71, Issue 3, p912
- Document Type:Article
- Subject Area:Sociology
- Publication Date:2024
- ISSN:0037-7791
- DOI:10.1093/socpro/spac044
- Accession Number:178739052
- Copyright Statement:Copyright of Social Problems is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Looking to go deeper into this topic? Look for more articles on EBSCOhost.