The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Risk Perception Through the Lens of Politics in the Time of the COVID-19 Pandemic
Open accessAbstract
Even when, objectively speaking, death is on the line, partisan bias still colors beliefs about facts.We show that a higher share of Trump voters in a county is associated with lower perceptions of risk during the COVID-19 pandemic.As Trump voter share rises, individuals search less for information on the virus, and engage in less social distancing behavior, as measured by smartphone location patterns.These patterns persist in the face of state-level mandates to close schools and businesses or to "stay home," and reverse only when conservative politicians are exposed and the White House releases federal social distancing guidelines.
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.
Integrity signals
Registry
Cites
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.
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
Mason, L. (2015) · American Journal of Political Science · doi:10.1111/ajps.12089 · Cited by 1,458
Boxell, L., Gentzkow, M., & Shapiro, J. M. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1706588114 · Cited by 467
Cited by
Allcott, H., Boxell, L., Conway, J., Gentzkow, M., Thaler, M., & Yang, D. (2020) · Journal of Public Economics · doi:10.1016/j.jpubeco.2020.104254 · Cited by 999
A literature review of the economics of COVID-19
Brodeur, A., Gray, D., Islam, A., & Bhuiyan, S. (2021) · Journal of Economic Surveys · doi:10.1111/joes.12423 · Cited by 976
Allcott, H., Boxell, L., Conway, J., Gentzkow, M., Thaler, M., & Yang, D. (2020) · National Bureau of Economic Research · doi:10.3386/w26946 · Cited by 382
Political Beliefs affect Compliance with COVID-19 Social Distancing Orders
Painter, M., & Qiu, T. (2020) · SSRN Electronic Journal · doi:10.2139/ssrn.3569098 · Cited by 322
Coronavirus Fears and Macroeconomic Expectations
Binder, C. (2020) · The Review of Economics and Statistics · doi:10.1162/rest_a_00931 · Cited by 269
Metadata
- Authors
- Barrios, J., & Hochberg, Y.
- Venue
- National Bureau of Economic Research
- Publisher
- National Bureau of Economic Research
- Published
- 2020-04
- OpenAlex
- W3015629547
- Cited by
- 401
- References
- 2
- Type
- report
- Language
- en
- Open access
- green
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: Risk Perception Through the Lens of Politics in the Time of the COVID-19 Pandemic. https://app.cochat.ai/papers/10.3386/w27008
- The paper
- Barrios, J., & Hochberg, Y. (2020). Risk Perception Through the Lens of Politics in the Time of the COVID-19 Pandemic. National Bureau of Economic Research. https://doi.org/10.3386/w27008
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.