JOURNAL ARTICLE

The New Racial Spillover: Donald Trump, Racial Attitudes, and Public Opinion Toward Accountability for Perpetrators and Planners of the January 6 Capitol Attack.

  • Published In: Political Science Quarterly (Oxford University Press / USA), 2024, v. 139, n. 2. P. 159 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Rhodes, Jesse H.; Nteta, Tatishe M 3 of 3

Abstract

This article examines public opposition to holding participants and organizers of the January 6, 2021, U.S. Capitol attack accountable, focusing on the role of racial attitudes through the theory of "racial spillover." It argues that former president Donald Trump's frequent use of racialized rhetoric linked negative racial attitudes to support for him, which in turn influenced opposition to prosecuting those involved in the attack and charging Trump himself. Using data from four nationally representative surveys conducted between 2021 and 2023, the study finds that individuals with more negative racial attitudes are significantly more likely to oppose accountability efforts, even among Democrats. The research also identifies support for Trump, Republican partisanship, and conservative ideology as additional factors associated with resistance to prosecution, highlighting how racial and partisan dynamics intersect to erode commitment to democratic norms and the rule of law.

Additional Information

  • Source:Political Science Quarterly (Oxford University Press / USA). 2024/06, Vol. 139, Issue 2, p159
  • Document Type:Article
  • Subject Area:History
  • Publication Date:2024
  • ISSN:0032-3195
  • DOI:10.1093/psquar/qqae010
  • Accession Number:177720775
  • Copyright Statement:Copyright of Political Science Quarterly (Oxford University Press / USA) 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.)

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