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Cited by 443

The DOI matches its Crossref record; 99 of the 99 references it cites were found in a registry or an index.

The Political Legacy of American Slavery

Acharya, Avidit, Blackwell, Matthew, Sen, Maya·2016·The Journal of Politics

Abstract

We show that contemporary differences in political attitudes across counties in the American South in part trace their origins to slavery’s prevalence more than 150 years ago. Whites who currently live in Southern counties that had high shares of slaves in 1860 are more likely to identify as a Republican, oppose affirmative action, and express racial resentment and colder feelings toward blacks. We show that these results cannot be explained by existing theories, including the theory of contemporary racial threat. To explain the results, we offer evidence for a new theory involving the historical persistence of political attitudes. Following the Civil War, Southern whites faced political and economic incentives to reinforce existing racist norms and institutions to maintain control over the newly freed African American population. This amplified local differences in racially conservative political attitudes, which in turn have been passed down locally across generations.

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Crossref · 10.1086/686631

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Metadata

Authors
Acharya, A., Blackwell, M., & Sen, M.
Venue
The Journal of Politics
Published
2016-07
Volume
78
Issue
3
Pages
621-641
ISSN
  • 0022-3816 (ISSN-L)
  • 1468-2508
OpenAlex
W1666707582
Cited by
443
References
99
FWCI
164.42
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Political Legacy of American Slavery. https://app.cochat.ai/papers/10.1086/686631
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Acharya, A., Blackwell, M., & Sen, M. (2016). The Political Legacy of American Slavery. The Journal of Politics. https://doi.org/10.1086/686631

Data sources

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.