Evidence map›Paper›PMID 42221124›Full record

ArticleFrontiers in medicine2026

Perceptions of health misinformation on social media: patterns and predictors.

Navreet K Singh, Aisha T Langford

Abstract read
In one paragraph

Article in Frontiers in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Navreet K SinghDepartment of Family Medicine and Public Health Sciences, Wayne State University School of Medicine, Detroit, MI, United States.
Aisha T LangfordDepartment of Family Medicine and Public Health Sciences, Wayne State University School of Medicine, Detroit, MI, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Determine factors associated with perceived amount of health misinformation when using social media. Methods: Secondary analysis of the Health Information National Trends Survey 7 (HINTS 7). US adults 18 years and older completed surveys in 2024 ( Results: Higher odds of perceiving "a lot/some" misinformation were observed among adults aged 50-64 years and 65-74 years (vs. 18-34 years), college graduates (vs. non-college graduates), and incomes of $50,000-$99,999 and $100,000 or more (vs. $0-$19,999). Lower odds were identified in Black and Hispanic (vs. White) participants and those who agreed (vs. disagreed) their social media network had the same views on health. Odds of perceiving "a lot" of misinformation were higher in adults aged 50-64 years and college graduates. Lower odds were found in those who: were Black and Hispanic, agreed their social media network had similar health views, had higher trust in the healthcare system, and disagreed (vs. neutral) to a strong sense of ethnic group belonging. Conclusion: Perceived health misinformation on social media varies by sociodemographic characteristics, trust in the healthcare system, and alignment of health views within social media networks.

Indexed as

falsehealth informationmisinformationmisleadingperceptionsocial media

Identifiers

PMID42221124
PMCPMC13218912

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.