Evidence map›Paper›PMID 40579484›Full record

ArticleNature human behaviour2025

Following news on social media boosts knowledge, belief accuracy and trust.

Sacha Altay, Emma Hoes, Magdalena Wojcieszak

Abstract read
In one paragraph

Article in Nature human behaviour, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Intelligent Systems, Vulnerable Minds: A Framework for Radicalization to Violence in the Age of AI.Personality and social psychology review : an official journal of the Society for Personality and Social Psychology, Inc · 2026
    Review
  3. Article
  4. Article
  5. Article
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  7. Review
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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

3 authors.

Sacha AltayPolitical Science Department, University of Zurich, Zurich, Switzerland. sacha.yesilaltay@uzh.ch.ORCID http://orcid.org/0000-0002-2839-7375
Emma HoesPolitical Science Department, University of Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0002-8063-5430
Magdalena WojcieszakDepartment of Communication, University of California, Davis, Davis, CA, USA. mwojcieszak@ucdavis.edu.ORCID http://orcid.org/0000-0001-5456-4483

Funding

EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) 756301EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) 883121
6 · The paper itself

Abstract

Many worry that news on social media leaves people uninformed or even misinformed. Here we conducted a preregistered two-wave online field experiment in France and Germany (N = 3,395) to estimate the effect of following the news on Instagram and WhatsApp. Participants were asked to follow two accounts for 2 weeks and activate the notifications. In the treatment condition, the accounts were those of news organizations, while in the control condition they covered cooking, cinema or art. The treatment enhanced current affairs knowledge, participants' ability to discern true from false news stories and awareness of true news stories, as well as trust in the news. The treatment had no significant effects on feelings of being informed, political efficacy, affective polarization and interest in news or politics. These results suggest that, while some forms of social media use are harmful, others are beneficial and can be leveraged to foster a well-informed society.

Indexed as

CommunicationKnowledgeSocial MediaTrustAdolescentAdultFemaleFranceGermanyHumansMaleMiddle AgedPoliticsYoung Adult

Identifiers

PMID40579484
PMCPMC12454158

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.