Evidence map›Paper›PMID 42357955›Full record

ArticleRisk analysis : an official publication of the Society for Risk Analysis2026

Assessing How Fact-Checks Influence Accuracy and Consensus Judgments: Evidence From the Olympics.

Morgan Wack, Jinan Allan, Brandon Boatwright, Gregory Cranmer

Abstract read
In one paragraph

Article in Risk analysis : an official publication of the Society for Risk Analysis, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Morgan WackDepartment of Communication and Media Research (IKMZ), University of Zurich, Zurich, Switzerland.ORCID 0000-0002-7769-5993
Jinan AllanDepartment of Psychology, Clemson University, Clemson, South Carolina, USA.ORCID 0000-0001-9815-6019
Brandon BoatwrightDepartment of Communication, Clemson University, Clemson, South Carolina, USA.
Gregory CranmerDepartment of Communication, Clemson University, Clemson, South Carolina, USA.ORCID 0000-0001-5389-2688

Funding

Robert H. Brooks Sports Science Institute 2024001741
6 · The paper itself

Abstract

Fact-checks have become a popular intervention aimed at tackling misinformation, yet concern has persisted related to the potential for fact-checking to inadvertently amplify false narratives-a phenomenon commonly referred to as a "backfire effect." At the same time, recent evidence from research on repeated claims has suggested that there is a risk that fact-checks may also generate misperceptions regarding societal beliefs-or an "illusory consensus" effect. This paper presents findings from an ecologically valid two-wave experimental study that tested whether repeated fact-checking interventions could cause either of these negative outcomes. To further enhance the validity of the design, we draw on quota-balanced samples of participants from the United States, France, and South Africa (N = 680), who were presented with a set of true and false posts taken from online discussions regarding the 2024 Summer Olympic Games in Paris, France. Outcome measures focused on personal accuracy judgments (i.e., how accurate participants deemed each claim) and consensus estimates (i.e., whether their fellow citizens would believe each claim). After the Olympics concluded, participants were asked to assess both new and previously reviewed statements. Consistent with prior work, results indicate no evidence of the backfire effect (

Indexed as

ConsensusJudgmentSportsCommunicationFranceHumansSouth AfricaUnited Statesconsensus effectscontent moderationfact‐checkingmisinformationsports

Identifiers

PMID42357955
PMCPMC13305344

What OpenQuestion holds

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LicenceCC BY
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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.