The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Black Candidates, White Voters: Understanding Racial Bias in Political Perceptions
Abstract
Carol K. Sigelman, Lee Sigelman, Barbara J. Walkosz, Michael Nitz, Black Candidates, White Voters: Understanding Racial Bias in Political Perceptions, American Journal of Political Science, Vol. 39, No. 1 (Feb., 1995), pp. 243-265
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Citations
Cites
Sears, D. O. (1986) · Journal of Personality and Social Psychology · doi:10.1037//0022-3514.51.3.515 · Cited by 2,119
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THE CENTRALITY OF RACE IN AMERICAN POLITICS
Hutchings, V. L., & Valentino, N. A. (2004) · Annual Review of Political Science · doi:10.1146/annurev.polisci.7.012003.104859 · Cited by 493
The Application of Social Role Theory to the Study of Gender in Politics
Schneider, M. C., & Bos, A. L. (2019) · Political Psychology · doi:10.1111/pops.12573 · Cited by 240
When Race, Gender, and the Media Intersect: Campaign News Coverage of Minority Congresswomen
Gershon, S. (2012) · Journal of Women, Politics & Policy · doi:10.1080/1554477x.2012.667743 · Cited by 95
Minority Candidates, Media Framing, and Racial Cues in the 2004 Election
Caliendo, S. M., & McIlwain, C. D. (2006) · Harvard International Journal of Press/Politics · doi:10.1177/1081180x06293551 · Cited by 65
Metadata
- Authors
- Sigelman, C. K., Sigelman, L., Walkosz, B. J., & Nitz, M.
- Venue
- American Journal of Political Science
- Publisher
- JSTOR
- Published
- 1995-02
- Volume
- 39
- Issue
- 1
- Pages
- 243
- ISSN
- 0092-5853 (ISSN-L)
- OpenAlex
- W2329557028
- Cited by
- 420
- References
- 1
- FWCI
- 11.00
- Type
- journal article
- Language
- en
- Open access
- closed
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- Sigelman, C. K., Sigelman, L., Walkosz, B. J., & Nitz, M. (1995). Black Candidates, White Voters: Understanding Racial Bias in Political Perceptions. American Journal of Political Science. https://doi.org/10.2307/2111765
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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.
