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Cited by 465

The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.

Standing up for a change: Reducing bias through interpersonal confrontation.

Czopp, Alexander M., Monteith, Margo J., Mark, Aimee Y.·2006·Journal of Personality and Social Psychology

Abstract

Three experiments examined the effectiveness of interpersonal confrontations as a means for decreasing stereotypic responding. After making stereotypic inferences about Black individuals, participants were confronted and reactions were measured across various intrapersonal and interpersonal response domains. Confrontations varied in level of hostility (Experiment 1) and whether they were expressed by a Black or White person (Experiment 2). Results indicate that although confrontations (and particularly hostile ones) elicited negative emotions and evaluations toward the confronter, participants also experienced negative self-directed affect. Furthermore, regardless of who did the confronting or how much hostility was expressed, confronted participants subsequently were less likely to provide stereotypic responses (Experiments 1-2), and the effect of the confrontation generalized to reporting less prejudiced attitudes (Experiment 3).

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Metadata

Authors
Czopp, A. M., Monteith, M. J., & Mark, A. Y.
Venue
Journal of Personality and Social Psychology
Published
2006
Volume
90
Issue
5
Pages
784-803
ISSN
  • 0022-3514 (ISSN-L)
  • 1939-1315
OpenAlex
W2144771163
Cited by
465
References
48
FWCI
23.06
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Standing up for a change: Reducing bias through interpersonal confrontation. https://app.cochat.ai/papers/10.1037/0022-3514.90.5.784
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Czopp, A. M., Monteith, M. J., & Mark, A. Y. (2006). Standing up for a change: Reducing bias through interpersonal confrontation. Journal of Personality and Social Psychology. https://doi.org/10.1037/0022-3514.90.5.784

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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