Evidence map›Paper›PMID 40880473›Full record

ArticleScience advances2025

Prebunking and credible source corrections increase election credibility: Evidence from the US and Brazil.

John M Carey, Brian Fogarty, Marília Gehrke, Brendan Nyhan, Jason Reifler

Abstract read
In one paragraph

Article in Science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Restoring institutional confidence in backsliding democracies: Evidence from Mexico.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  3. Review
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

5 authors.

John M CareyDepartment of Government, Dartmouth College, 6108 Hinman, Hanover, NH, USA.ORCID 0000-0002-1426-1565
Brian FogartyLucy Family Institute for Data & Society, University of Notre Dame, 620 Flanner Hall, Notre Dame, IN, USA.ORCID 0000-0001-9563-218X
Marília GehrkeCentre for Media and Journalism Studies, University of Groningen, Oude Kijk in 't Jatstraat 26, 9712 EK Groningen, Netherlands.ORCID 0000-0003-3538-1600
Brendan NyhanDepartment of Government, Dartmouth College, 6108 Hinman, Hanover, NH, USA.ORCID 0000-0001-7497-1799
Jason ReiflerDepartment of Politics and International Relations, University of Southampton, Murray Building (B58), University Road, Southampton SO17 1BJ, UK.ORCID 0000-0002-1116-7346

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We investigate how to counter misinformation about voter and election fraud using data from the US and Brazil. Our study first compares two types of messages countering claims of widespread fraud: (i) retrospective corrections from credible sources speaking against interest and (ii) prebunking messages that prospectively warn of false claims about future elections and provide information about election security practices. In the US, each approach immediately increased election confidence and reduced fraud beliefs, with prebunking showing somewhat more durable effects. In Brazil, prebunking had positive immediate effects across measured outcomes, whereas those of the credible source corrections were less consistent. We then conducted an experiment in the US randomizing exposure to a persuasion forewarning before election security information is provided. Prebunking again increased confidence and decreased fraud beliefs but only when the forewarning was omitted, suggesting that novel factual information is responsible for the observed effects of the prebunking treatment.

Identifiers

PMID40880473
PMCPMC12396325

What OpenQuestion holds

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Registered trials

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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.