Evidence map›Paper›PMID 33837146›Full record

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

Misinformation in and about science.

Jevin D West, Carl T Bergstrom

Erratum issuedAbstract readReview
In one paragraph

Review 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. An erratum has been issued. Cited by 59 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 1 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

59 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Review
  6. Health disparities in neurology.Nature reviews. Neurology · 2025
    Review
  7. Article
  8. Political expression of academics on Twitter.Nature human behaviour · 2025
    Article
  9. Article
  10. Our changing information ecosystem for science and why it matters for effective science communication.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Communicating with society about the science behind meat and livestock production.Animal frontiers : the review magazine of animal agriculture · 2025
    Article
  17. Perspective: the role of science in society.Animal frontiers : the review magazine of animal agriculture · 2025
    Review
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Jevin D WestInformation School, University of Washington, Seattle, WA 98195 jevinw@uw.edu.ORCID 0000-0002-4118-0322
Carl T BergstromDepartment of Biology, University of Washington, Seattle, WA 98195.ORCID 0000-0002-2070-385X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Humans learn about the world by collectively acquiring information, filtering it, and sharing what we know. Misinformation undermines this process. The repercussions are extensive. Without reliable and accurate sources of information, we cannot hope to halt climate change, make reasoned democratic decisions, or control a global pandemic. Most analyses of misinformation focus on popular and social media, but the scientific enterprise faces a parallel set of problems-from hype and hyperbole to publication bias and citation misdirection, predatory publishing, and filter bubbles. In this perspective, we highlight these parallels and discuss future research directions and interventions.

Indexed as

Biomedical ResearchHealth CommunicationHumansMass MediaPeriodicals as Topicdata reasoningdisinformationfake newsmisinformationscience communication

Identifiers

PMID33837146
PMCPMC8054004

What OpenQuestion holds

Textmetadata
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.