Evidence map›Paper›PMID 41307058›Full record

ArticleRoyal Society open science2025

Misinformation interventions and online sharing behaviour: lessons learned from two pre-registered field studies.

Jon Roozenbeek, Jana Lasser, Malia Marks, Tianzhu Qin, David Garcia, Beth Goldberg, Ramit Debnath, Sander van der Linden, Stephan Lewandowsky

Abstract read
In one paragraph

Article in Royal Society open science, 2025. 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

9 authors.

Jon RoozenbeekDepartment of Psychology, University of Cambridge, Cambridge, UK.ORCID https://orcid.org/0000-0002-8150-9305
Jana LasserInstitute for Interactive Systems and Data Science, Graz, Austria.
Malia MarksDepartment of Psychology, University of Cambridge, Cambridge, UK.
Tianzhu QinCentre for Human-Inspired AI, University of Cambridge, Cambridge, UK.
David GarciaUniversity of Konstanz, Konstanz, Germany.
Beth GoldbergGoogle LLC, New York, NY, USA.
Ramit DebnathCentre for Human-Inspired AI, University of Cambridge, Cambridge, UK.ORCID https://orcid.org/0000-0003-0727-5683
Sander van der LindenDepartment of Psychology, University of Cambridge, Cambridge, UK.
Stephan LewandowskySchool of Psychological Science, University of Bristol, Bristol, UK.ORCID https://orcid.org/0000-0003-1655-2013

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The spread of misinformation on social media continues to pose challenges. While prior research has shown some success in reducing susceptibility to misinformation at scale, how individual-level interventions impact the quality of content shared on social networks remains understudied. Across two pre-registered longitudinal studies, we ran two Twitter/X ad campaigns, targeting a total of 967 640 Twitter/X users with either a previously validated 'inoculation' video about emotional manipulation or a control video. We hypothesized that Twitter/X users who saw the inoculation video would engage less with negative-emotional content and share less content from unreliable sources. We do not find evidence for our hypotheses, observing no meaningful changes in posting or retweeting post-intervention. Our findings are most likely compromised by Twitter/X's 'fuzzy matching' policy, which introduced substantial noise in our data (approx. 7.5% of targeted individuals were actually exposed to the intervention). Our findings are thus probably the result of treatment non-compliance rather than 'true' null effects. Importantly, we also demonstrate that different statistical analyses and time windows (looking at the intervention's effects over 1 h versus 6 h or 24 h, etc.) can yield different and even opposite significant effects, highlighting the risk of interpreting noise from field studies as signal.

Indexed as

field studyinoculation theoryinterventionmisinformationnull results

Identifiers

PMID41307058
PMCPMC12646748

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.