Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 469

The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index.

The Legacy of Political Violence across Generations

Lupu, Noam, Peisakhin, Leonid·2017·American Journal of Political Science

Abstract

Does political violence leave a lasting legacy on identities, attitudes, and behaviors? We argue that violence shapes the identities of victims and that families transmit these effects across generations. Inherited identities then impact the contemporary attitudes and behaviors of the descendants of victims. Testing these hypotheses is fraught with methodological challenges; to overcome them, we study the deportation of Crimean Tatars in 1944 and the indiscriminate way deportees died from starvation and disease. We conducted a multigenerational survey of Crimean Tatars in 2014 and find that the descendants of individuals who suffered more intensely identify more strongly with their ethnic group, support more strongly the Crimean Tatar political leadership, hold more hostile attitudes toward Russia, and participate more in politics. But we find that victimization has no lasting effect on religious radicalization. We also provide evidence that identities are passed down from the victims of the deportation to their descendants.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1111/ajps.12327

Cites

46 of 46 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 46 references

Cited by

See all 469

Metadata

Authors
Lupu, N., & Peisakhin, L.
Venue
American Journal of Political Science
Publisher
Wiley
Published
2017-08
Volume
61
Issue
4
Pages
836-851
ISSN
  • 0092-5853 (ISSN-L)
  • 1540-5907
OpenAlex
W2742078098
Cited by
469
References
46
FWCI
50.71
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: The Legacy of Political Violence across Generations. https://app.cochat.ai/papers/10.1111/ajps.12327
The paper
Lupu, N., & Peisakhin, L. (2017). The Legacy of Political Violence across Generations. American Journal of Political Science. https://doi.org/10.1111/ajps.12327

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.