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Cited by 1,118

The DOI matches its Crossref record; 130 of the 130 references it cites were found in a registry or an index.

Lessons from social psychology on discrediting psychiatric stigma.

Corrigan, Patrick W., Penn, David L.·1999·American Psychologist

Abstract

Advocacy, government, and public-service groups rely on a variety of strategies to diminish the impact of stigma on persons with severe mental illness. These strategies include protest, education, and promoting contact between the general public and persons with these disorders. The authors argue that social psychological research on ethnic minority and other group stereotypes should be considered when implementing these strategies. Such research indicates that (a) attempts to suppress stereotypes through protest can result in a rebound effect; (b) education programs may be limited because many stereotypes are resilient to change; and (c) contact is enhanced by a variety of factors, including equal status, cooperative interaction, and institutional support. Future directions for research and practice to reduce stigma toward persons with severe mental illness are discussed.

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Crossref · 10.1037/0003-066x.54.9.765

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Metadata

Authors
Corrigan, P. W., & Penn, D. L.
Venue
American Psychologist
Published
1999-09
Volume
54
Issue
9
Pages
765-776
ISSN
  • 0003-066X (ISSN-L)
  • 1935-990X
OpenAlex
W2167767925
Cited by
1,118
References
130
FWCI
30.99
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Lessons from social psychology on discrediting psychiatric stigma. https://app.cochat.ai/papers/10.1037/0003-066x.54.9.765
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Corrigan, P. W., & Penn, D. L. (1999). Lessons from social psychology on discrediting psychiatric stigma. American Psychologist. https://doi.org/10.1037/0003-066x.54.9.765

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.