Evidence map›Paper›PMID 38244594›Full record

ArticlePhilosophical transactions of the Royal Society of London. Series B, Biological sciences2024

The

Clara Pretus, Ali M Javeed, Diána Hughes, Kobi Hackenburg, Manos Tsakiris, Oscar Vilarroya, Jay J Van Bavel

Open access · hybridAbstract read
In one paragraph

Article in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
17.0field-weighted citation impact, top 1% of its field
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

9 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Political polarization and health.Nature medicine · 2024
    Review
  5. Article
  6. Review
  7. Social norm change: drivers and consequences.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Article
  8. ThePhilosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Article
  9. How to mitigate misinformation.Proceedings of the National Academy of Sciences of the United States of America · 2023
    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

7 authors at 3 institutions in 3 countries.

Clara PretusDepartment of Psychobiology and Methodology of Health Sciences, Universitat Autònoma de Barcelona, 08193 Barcelona, Spain.ORCID 0000-0003-2172-1184
Ali M JaveedDepartment of Psychology and Center for Neural Science, New York University, New York, NY 10003, USA.
Diána HughesDepartment of Psychology and Center for Neural Science, New York University, New York, NY 10003, USA.
Kobi HackenburgCentre for the Politics of Feelings, School of Advanced Study, Royal Holloway, University of London, London WC1E 7HU, UK.
Manos TsakirisCentre for the Politics of Feelings, School of Advanced Study, Royal Holloway, University of London, London WC1E 7HU, UK.ORCID 0000-0001-7753-7576
Oscar VilarroyaDepartment of Psychiatry and Forensic Medicine, Universitat Autònoma de Barcelona, 08193 Barcelona, Spain.
Jay J Van BavelDepartment of Psychology and Center for Neural Science, New York University, New York, NY 10003, USA.ORCID 0000-0002-2520-0442
New York University · USRoyal Holloway University of London · GBUniversitat Autònoma de Barcelona · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Interventions to counter misinformation are often less effective for polarizing content on social media platforms. We sought to overcome this limitation by testing an identity-based intervention, which aims to promote accuracy by incorporating normative cues directly into the social media user interface. Across three pre-registered experiments in the US (

Indexed as

CuesJudgmentCommunicationHumansProbabilitySocial Normsinterventionmisinformationsocial identitysocial mediasocial norms

Identifiers

PMID38244594
PMCPMC10799730
OpenAlexW4391058501

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.