Article
Version 1
Preserved in Portico This version is not peer-reviewed
Reward Omissions Variably Augment Racial Bias along Political Ideology
Version 1
: Received: 9 October 2020 / Approved: 12 October 2020 / Online: 12 October 2020 (09:56:03 CEST)
Version 2 : Received: 5 September 2021 / Approved: 13 September 2021 / Online: 13 September 2021 (10:34:53 CEST)
Version 2 : Received: 5 September 2021 / Approved: 13 September 2021 / Online: 13 September 2021 (10:34:53 CEST)
How to cite: Amd, M. Reward Omissions Variably Augment Racial Bias along Political Ideology. Preprints 2020, 2020100218. https://doi.org/10.20944/preprints202010.0218.v1 Amd, M. Reward Omissions Variably Augment Racial Bias along Political Ideology. Preprints 2020, 2020100218. https://doi.org/10.20944/preprints202010.0218.v1
Abstract
Humans tend to become angry whenever a reward they were expecting is 'unfairly' taken away. We presently tested whether situational anger induced by unfair reward omissions may influence (pre-existing) racial biases across self-identified Liberals (n = 119) and Conservatives (n = 115). In the study, participants were exposed to a frustration induction task (or a control variant), followed by implicit and explicit evaluations of White and Black male targets. Frustrated Conservatives were more likely to exhibit implicit anti-Black bias relative to non-frustrated Conservatives, but not significantly so (p's > .2). Frustrated Liberals became significantly anti-White relative to both non-frustrated Liberals and Frustrated Conservatives (p's < .006). Both Liberals and Conservatives became equally angered following reward omissions, but only the former became significantly anti-White. The present work highlights Liberals are more likely to exhibit frustration-augmented racial bias relative to Conservatives.
Keywords
frustration; racial bias; political ideology; implicit evaluation
Subject
Business, Economics and Management, Accounting and Taxation
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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