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Cited by 198

The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.

A Threat in the Computer: The Race Implicit Association Test as a Stereotype Threat Experience

Frantz, Cynthia M., Cuddy, Amy J. C., Burnett, Molly, Ray, Heidi, Hart, Allen·2004·Personality and Social Psychology Bulletin

Abstract

Three experiments test whether the threat of appearing racist leads White participants to perform worse on the race Implicit Association Test (IAT) and whether self-affirmation can protect from this threat. Experiments 1 and 2 suggest that White participants show a stereotype threat effect when completing the race IAT, leading to stronger pro-White scores when the test is believed to be diagnostic of racism. This effect increases for domain-identified (highly motivated to control prejudice) participants (Experiment 2). In Experiment 3, self-affirmation inoculates participants against stereotype threat while taking the race IAT. These findings have methodological implications for use of the race IAT and theoretical implications concerning the malleability of automatic prejudice and the potential interpersonal effects of the fear of appearing racist.

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Metadata

Authors
Frantz, C. M., Cuddy, A. J. C., Burnett, M., Ray, H., & Hart, A.
Venue
Personality and Social Psychology Bulletin
Published
2004-12
Volume
30
Issue
12
Pages
1611-1624
ISSN
  • 0146-1672 (ISSN-L)
  • 1552-7433
OpenAlex
W2071277414
Cited by
198
References
11
FWCI
31.66
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A Threat in the Computer: The Race Implicit Association Test as a Stereotype Threat Experience. https://app.cochat.ai/papers/10.1177/0146167204266650
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Frantz, C. M., Cuddy, A. J. C., Burnett, M., Ray, H., & Hart, A. (2004). A Threat in the Computer: The Race Implicit Association Test as a Stereotype Threat Experience. Personality and Social Psychology Bulletin. https://doi.org/10.1177/0146167204266650

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.