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Supreme Prejudice: Examining the Supreme Court’s Racial & Criminal Biases

Published online by Cambridge University Press:  16 July 2025

Elizabeth Maltby
Affiliation:
University of Nevada, Las Vegas, USA
Abigail A. Matthews*
Affiliation:
University at Buffalo, SUNY, USA
*
Corresponding author: Abigail A. Matthews; Email: aamatthe@buffalo.edu

Abstract

The U.S. Supreme Court is often regarded as an impartial arbiter of justice, yet various prejudices may influence its decisions. This article examines Supreme Court justices’ biases, focusing on how they invoke racialized stereotypes of criminality. We argue that justices are more likely to vote in favor of white, nonviolent litigants, reinforcing stereotypes that depict nonwhite defendants as inherently more criminal and violent. Drawing on the U.S. Supreme Court Database’s criminal procedure cases from 2005–2017, combined with an original dataset of litigants’ racial identities, we estimate a series of multilevel logistic regressions. Our findings show that litigant race, crime type, and justice ideology jointly shape judicial votes. We further investigate how bias appears in justices’ written opinions, revealing language that perpetuates racialized conceptions of criminality. Overall, our results underscore the Court’s role in constructing what it means to be both “criminal” and “nonwhite,” suggesting that the Court is not a neutral interpreter of law, but an institution shaped by broader social and political biases.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2025. Published by Cambridge University Press on behalf of The Race, Ethnicity, and Politics Section of the American Political Science Association
Figure 0

Table 1. Justice-Case Level Models

Figure 1

Figure 1. Predicted Probability of Voting for Litigant by Race, Crime, and Justice Ideology.

Figure 2

Figure 2. Split Samples, Predicted Probability of Voting for Litigant.

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Maltby and Matthews supplementary material

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