Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 401

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 access
Barrios, John, Hochberg, Yael·2020·National Bureau of Economic Research

Abstract

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.

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

Integrity signals

Registry

Crossref · 10.3386/w27008

Cites

2 of 2 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 2 references

Cited by

See all 401

Metadata

Authors
Barrios, J., & Hochberg, Y.
Venue
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.