Intersectional Stereotypes in Policing: An Analysis of Traffic Stop Outcomes Public Deposited

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Last Modified
  • March 22, 2019
Creator
  • Christiani, Leah
    • Affiliation: College of Arts and Sciences, Department of Political Science
Abstract
  • Studies of racial profiling typically focus on a White/Black or White/minority dichotomy. In this project, I extend that analysis to multiple racial, gender, and class groups. I use data from every traffic stop that occurred in six states over multiple years, amounting to more than 15 million traffic stops. Using this original and unique dataset, I am able to draw conclusions about the outcomes that individual drivers face as a result of their intersectional racial, gender, and class-based perceived identities. I attribute this phenomenon to widely held stereotypes about social groups, rather than to individually prejudiced police officers. Overall, I find that social groups that are stereotyped as more suspicious receive the harshest treatment from police, while those who are not considered suspicious receive lighter treatment, in the aggregate.
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Rights statement
  • In Copyright
Advisor
  • Baumgartner, Frank
  • Clark, Christopher
  • Benjamin, Andrea
Degree
  • Master of Arts
Degree granting institution
  • University of North Carolina at Chapel Hill
Graduation year
  • 2017
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