Evidence map›Paper›PMID 35156933›Full record

Trial reportJournal of medical Internet research2022

The Challenge of Debunking Health Misinformation in Dynamic Social Media Conversations: Online Randomized Study of Public Masking During COVID-19.

Mehdi Mourali, Carly Drake

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of medical Internet research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
18.5field-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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 51 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. COVID-19 and Masking Disparities: Qualitative Analysis of Trust on the CDC's Facebook Page.International journal of environmental research and public health · 2023
    Article
  10. Article
  11. Article
  12. A scoping review of digital health interventions for combating COVID-19 misinformation and disinformation.Journal of the American Medical Informatics Association : JAMIA · 2023
    Article
  13. Global Health Informatics: the state of research and lessons learned.Journal of the American Medical Informatics Association : JAMIA · 2023
    Article
  14. Review
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

2 authors at 2 institutions in 2 countries.

Mehdi MouraliHaskayne School of Business, University of Calgary, Calgary, AB, Canada.ORCID 0000-0002-9969-3892
Carly DrakeDepartment of Management and Marketing, North Central College, Naperville, IL, United States.ORCID 0000-0001-6855-9597
North Central College · USUniversity of Calgary · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe spread of false and misleading health information on social media can cause individual and social harm. Research on debunking has shown that properly designed corrections can mitigate the impact of misinformation, but little is known about the impact of correction in the context of prolonged social media debates. For example, when a social media user takes to Facebook to make a false claim about a health-related practice and a health expert subsequently refutes the claim, the conversation rarely ends there. Often, the social media user proceeds by rebuking the critic and doubling down on the claim.

objectiveThe aim of this study was to examine the impact of such extended back and forth between false claims and debunking attempts on observers' dispositions toward behavior that science favors. We tested competing predictions about the effect of extended exposure on people's attitudes and intentions toward masking in public during the early days of the COVID-19 pandemic and explored several psychological processes potentially underlying this effect.

methodsA total of 500 US residents took part in an online experiment in October 2020. They reported on their attitudes and intentions toward wearing masks in public. They were then randomly assigned to one of four social media exposure conditions (misinformation only vs misinformation+correction vs misinformation+correction+rebuke vs misinformation+correction+rebuke+second correction), and reported their attitudes and intentions for a second time. They also indicated whether they would consider sharing the thread if they were to see it on social media and answered questions on potential mediators and covariates.

resultsExposure to misinformation had a negative impact on attitudes and intentions toward masking (β=-.35, 95% CI -.42 to -.29; P<.001). Moreover, initial debunking of a false claim generally improved attitudes and intentions toward masking (β=.35, 95% CI .16 to .54; P<.001). However, this improvement was washed out by further exposure to false claims and debunking attempts (β=-.53, 95% CI -.72 to -.34; P<.001). The latter result is partially explained by a decrease in the perceived objectivity of truth. That is, extended exposure to false claims and debunking attempts appear to weaken the belief that there is an objectively correct answer to how people ought to behave in this situation, which in turn leads to less positive reactions toward masking as the prescribed behavior.

conclusionsHealth professionals and science advocates face an underappreciated challenge in attempting to debunk misinformation on social media. Although engaging in extended debates with science deniers and other purveyors of bunk appears necessary, more research is needed to address the unintended consequences of such engagement.

Indexed as

COVID-19Social MediaCommunicationHumansPandemicsSARS-CoV-2correctionCOVID-19debunkingdigital healthhealth informationhealth professionalinfodemiologymisinformationpublic healthsocial mediatruth objectivity

Identifiers

PMID35156933
PMCPMC8893717
OpenAlexW4213142308

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.