Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 440

The DOI matches its Crossref record; 52 of the 52 references it cites were found in a registry or an index.

Attributing Blame: The Public's Response to Hurricane Katrina

Malhotra, Neil, Kuo, Alexander G.·2008·The Journal of Politics

Abstract

When government fails, whom do citizens blame? Do these assessments rely on biased or content-rich information? Despite the vast literatures on retrospective voting in political science and attribution in psychology, there exists little theory and evidence on how citizens apportion blame among public officials in the wake of government failure. We designed a survey experiment in which respondents ranked seven public officials in order of how much they should be blamed for the property damage and loss of life in New Orleans after Hurricane Katrina. We manipulated the information provided to respondents, with some receiving the officials’ party affiliations, others receiving their job titles, and others receiving both cues. We find that party cues cause individuals to blame officials of the opposite party, but citizens make more principled judgments when provided with information about officials’ responsibilities. These results have implications for our understanding of the impact of heuristics and information on retrospective evaluations of government performance.

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 · 10.1017/s0022381607080097

Cites

52 of 52 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 52 references

Cited by

See all 440

Metadata

Authors
Malhotra, N., & Kuo, A. G.
Venue
The Journal of Politics
Published
2008-01
Volume
70
Issue
1
Pages
120-135
ISSN
  • 0022-3816 (ISSN-L)
  • 1468-2508
OpenAlex
W2049971933
Cited by
440
References
52
FWCI
66.24
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: Attributing Blame: The Public's Response to Hurricane Katrina. https://app.cochat.ai/papers/10.1017/s0022381607080097
The paper
Malhotra, N., & Kuo, A. G. (2008). Attributing Blame: The Public's Response to Hurricane Katrina. The Journal of Politics. https://doi.org/10.1017/s0022381607080097

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.