Evidence map›Paper›PMID 39237648›Full record

ArticleScientific reports2024

Investigating the role of source and source trust in prebunks and debunks of misinformation in online experiments across four EU countries.

Hendrik Bruns, François J Dessart, Michał Krawczyk, Stephan Lewandowsky, Myrto Pantazi, Gordon Pennycook, Philipp Schmid, Laura Smillie

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Changing beliefs or changing behavior? Understanding the belief-to-behavior process and intervening to curb the impact of misinformation.Journal of consumer psychology : the official journal of the Society for Consumer Psychology · 2026
    Article
  4. Article
  5. Article
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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

8 authors.

Hendrik BrunsEuropean Commission, Joint Research Centre (JRC), Rue du Champ de Mars 21, 1050, Brussels, Belgium. hendrik.bruns@ec.europa.eu.
François J DessartEuropean Commission, Joint Research Centre (JRC), Seville, Spain.
Michał KrawczykEuropean Commission, Joint Research Centre (JRC), Rue du Champ de Mars 21, 1050, Brussels, Belgium.
Stephan LewandowskyPRODEMINFO, University of Potsdam, Potsdam, Germany.
Myrto PantaziFaculty of Social and Behavioural Sciences, University of Amsterdam, Amsterdam, The Netherlands.
Gordon PennycookDepartment of Psychology, Cornell University, Ithaca, USA.
Philipp SchmidCentre for Language Studies, Radboud University, Nijmegen, The Netherlands.
Laura SmillieEuropean Commission, Joint Research Centre (JRC), Rue du Champ de Mars 21, 1050, Brussels, Belgium.

Funding

Alexander von Humboldt-Stiftung Research awardEuropean Commission Exploratory Research GrantEuropean Commission Horizon 2020 grant 101094752 SoMe4DemHORIZON EUROPE European Research Council ERC Advanced Grant 101020961 PRODEMINFOUK Research and Innovation EU Horizon replacement funding grant number 10049415
6 · The paper itself

Abstract

Misinformation surrounding crises poses a significant challenge for public institutions. Understanding the relative effectiveness of different types of interventions to counter misinformation, and which segments of the population are most and least receptive to them, is crucial. We conducted a preregistered online experiment involving 5228 participants from Germany, Greece, Ireland, and Poland. Participants were exposed to misinformation on climate change or COVID-19. In addition, they were pre-emptively exposed to a prebunk, warning them of commonly used misleading strategies, before encountering the misinformation, or were exposed to a debunking intervention afterwards. The source of the intervention (i.e. the European Commission) was either revealed or not. The findings show that both interventions change four variables reflecting vulnerability to misinformation in the expected direction in almost all cases, with debunks being slightly more effective than prebunks. Revealing the source of the interventions did not significantly impact their overall effectiveness. One case of undesirable effect heterogeneity was observed: debunks with revealed sources were less effective in decreasing the credibility of misinformation for people with low levels of trust in the European Union (as elicited in a post-experimental questionnaire). While our results mostly suggest that the European Commission, and possibly other public institutions, can confidently debunk and prebunk misinformation regardless of the trust level of the recipients, further evidence on this is needed.

Indexed as

CommunicationCOVID-19European UnionTrustAdultClimate ChangeFemaleGermanyGreeceHumansIrelandMaleMiddle AgedPolandSARS-CoV-2Surveys and Questionnaires

Identifiers

PMID39237648
PMCPMC11377563

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.