Evidence map›Paper›PMID 33495336›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2021

Timing matters when correcting fake news.

Nadia M Brashier, Gordon Pennycook, Adam J Berinsky, David G Rand

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 2 pooled it
–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

44 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Susceptibility to online misinformation: A systematic meta-analysis of demographic and psychological factors.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Pooled it
  3. Using a mental model approach to undercut the effects of exposure to mRNA vaccination misconceptions: Two randomized trials.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Trial
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  12. A study of Facebook comments regarding amber teething necklaces: insights into public perception.European archives of paediatric dentistry : official journal of the European Academy of Paediatric Dentistry · 2025
    Article
  13. Article
  14. Article
  15. Article
  16. Fact-checking information from large language models can decrease headline discernment.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  17. Article
  18. Article
  19. Bypassing as a non-confrontational influence strategy.Current opinion in psychology · 2024
    Review
  20. 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.

Nadia M BrashierDepartment of Psychology, Harvard University, Cambridge, MA 02138; nbrashier@fas.harvard.edu.ORCID 0000-0001-8039-9477
Gordon PennycookPaul J. Hill School of Business, University of Regina, Regina, SK S4S 0A2, Canada.ORCID 0000-0003-1344-6143
Adam J BerinskyDepartment of Political Science, Massachusetts Institute of Technology, Cambridge, MA 02139.ORCID 0000-0001-7827-9396
David G RandSloan School, Massachusetts Institute of Technology, Cambridge, MA 02139.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Countering misinformation can reduce belief in the moment, but corrective messages quickly fade from memory. We tested whether the longer-term impact of fact-checks depends on when people receive them. In two experiments (total

Indexed as

Newspapers as TopicHumansTime Factorscorrectionfact-checkingfake newsmemorymisinformation

Identifiers

PMID33495336
PMCPMC7865139

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.