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Cited by 268

The DOI matches its Crossref record; 131 of the 131 references it cites were found in a registry or an index.

Social Identification and Ethnic Conflict

Open access
SAMBANIS, NICHOLAS, SHAYO, MOSES·2013·American Political Science Review

Abstract

When do ethnic cleavages increase the risk of conflict? Under what conditions is a strong common identity likely to emerge, thereby reducing that risk? How are patterns of social identification shaped by conflict? We draw on empirical results regarding the nature and determinants of group identification to develop a simple model that addresses these questions. The model highlights the possibility of vicious and virtuous cycles where conflict and identification patterns reinforce each other. It also shows how processes of ethnic identification amplify the importance of political institutions and traces the effects of national status and perceived differences across ethnic groups. Finally, we demonstrate how a small but sufficiently potent group of ethnic radicals can derail a peaceful equilibrium, leading to the polarization of the entire population. We reexamine several historical cases as well as empirical correlates of civil wars in light of these results.

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Metadata

Authors
SAMBANIS, N., & SHAYO, M.
Venue
American Political Science Review
Published
2013-04-10
Volume
107
Issue
2
Pages
294-325
ISSN
  • 0003-0554 (ISSN-L)
  • 1537-5943
OpenAlex
W3121704525
Cited by
268
References
131
FWCI
42.25
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Social Identification and Ethnic Conflict. https://app.cochat.ai/papers/10.1017/s0003055413000038
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SAMBANIS, N., & SHAYO, M. (2013). Social Identification and Ethnic Conflict. American Political Science Review. https://doi.org/10.1017/s0003055413000038

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.