Evidence map›Paper›PMID 39811445›Full record

ArticlePNAS nexus2025

Fact-checks focus on famous politicians, not partisans.

Kevin T Greene, Nilima Pisharody, Faelynn Carroll, Jacob N Shapiro

Abstract read
In one paragraph

Article in PNAS nexus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Kevin T GreeneEmpirical Studies of Conflict, Princeton University, Princeton, NJ 08544, USA.ORCID https://orcid.org/0000-0003-4834-3996
Nilima PisharodyDepartment of Economics, New York University, New York, NY 10003, USA.
Faelynn CarrollEmpirical Studies of Conflict, Princeton University, Princeton, NJ 08544, USA.ORCID https://orcid.org/0009-0007-4873-6550
Jacob N ShapiroEmpirical Studies of Conflict, Princeton University, Princeton, NJ 08544, USA.ORCID https://orcid.org/0000-0002-7484-229X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Does the fact-checking enterprise focus its attention on one party? If Republican or Democratic politicians were systematically more likely to have their statements evaluated, that would call into question both the impartiality of the fact-checking enterprise and the results of the many papers that rely on fact-checks to drive other measurements. Despite frequent claims that fact-checking organizations are biased against Republicans, there is little systematic evidence regarding political bias in this industry. We address these gaps using data on how often each member of Congress was fact-checked from 2018 to 2021. We construct measures to account for multiple factors theorized to influence fact-checking, including a member's partisanship, prominence, and the quality of the news sites they link to. We find that Republican elected officials are not fact-checked more often than Democratic officials. Politician prominence predicts fact-checking, but partisanship does not. Our findings suggest it is unlikely that the selection approach used by fact-checking groups creates partisan bias in fact-check-derived measures.

Indexed as

fact-checkingpartisanshipsocial media

Identifiers

PMID39811445
PMCPMC11732390

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.