Evidence map›Paper›PMID 37713497›Full record

ArticleScience advances2023

The efficacy of Facebook's vaccine misinformation policies and architecture during the COVID-19 pandemic.

David A Broniatowski, Joseph R Simons, Jiayan Gu, Amelia M Jamison, Lorien C Abroms

Abstract read
In one paragraph

Article in Science advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  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

5 authors.

David A BroniatowskiDepartment of Engineering Management and Systems Engineering, The George Washington University, Washington, DC 20052, USA.ORCID 0000-0002-3302-9497
Joseph R SimonsOffice of the Assistant Secretary for Financial Resources, United States Department of Health and Human Services, Washington, DC 20543, USA.ORCID 0009-0000-9520-4468
Jiayan GuDepartment of Prevention and Community Health, The George Washington University, Washington, DC 20052, USA.
Amelia M JamisonDepartment of Health, Behavior, and Society, Johns Hopkins University, Baltimore, MD 21218, USA.ORCID 0000-0002-3954-9581
Lorien C AbromsInstitute for Data, Democracy, and Politics, The George Washington University, Washington, DC 20052, USA.ORCID 0000-0001-6859-283X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Online misinformation promotes distrust in science, undermines public health, and may drive civil unrest. During the coronavirus disease 2019 pandemic, Facebook-the world's largest social media company-began to remove vaccine misinformation as a matter of policy. We evaluated the efficacy of these policies using a comparative interrupted time-series design. We found that Facebook removed some antivaccine content, but we did not observe decreases in overall engagement with antivaccine content. Provaccine content was also removed, and antivaccine content became more misinformative, more politically polarized, and more likely to be seen in users' newsfeeds. We explain these findings as a consequence of Facebook's system architecture, which provides substantial flexibility to motivated users who wish to disseminate misinformation through multiple channels. Facebook's architecture may therefore afford antivaccine content producers several means to circumvent the intent of misinformation removal policies.

Indexed as

COVID-19Social MediaVaccinesHumansPandemicsPolicyVaccines

Identifiers

PMID37713497
PMCPMC11044214

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.