Evidence map›Paper›PMID 31561111›Full record

SynthesisSocial science & medicine (1982)2019

Systematic Literature Review on the Spread of Health-related Misinformation on Social Media.

Yuxi Wang, Martin McKee, Aleksandra Torbica, David Stuckler

Abstract readSystematic Review
In one paragraph

Synthesis in Social science & medicine (1982), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 601 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
601citing papers in PubMed, 10 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

601 citing papers in PubMed, 10 syntheses or guidelines pooled it.

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  11. The effect of the Baby-Feed website intervention on diet quality in healthy infants: a randomized controlled trial.The international journal of behavioral nutrition and physical activity · 2026
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  19. Social media use and positive aspects of caregiving: a longitudinal test of the social compensation hypothesis.The journals of gerontology. Series B, Psychological sciences and social sciences · 2026
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541 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Yuxi WangCentre for Research on Health and Social Care, Department of Social and Political Science, Bocconi University, Italy. Electronic address: yuxi.wang@phd.unibocconi.it.
Martin McKeeLondon School of Hygiene and Tropical Medicine, United Kingdom.
Aleksandra TorbicaCentre for Research on Health and Social Care, Department of Social and Political Science, Bocconi University, Italy.
David StucklerDepartment of Social and Political Science, Bocconi University, Italy.

Funding

Wellcome Trust
6 · The paper itself

Abstract

Contemporary commentators describe the current period as "an era of fake news" in which misinformation, generated intentionally or unintentionally, spreads rapidly. Although affecting all areas of life, it poses particular problems in the health arena, where it can delay or prevent effective care, in some cases threatening the lives of individuals. While examples of the rapid spread of misinformation date back to the earliest days of scientific medicine, the internet, by allowing instantaneous communication and powerful amplification has brought about a quantum change. In democracies where ideas compete in the marketplace for attention, accurate scientific information, which may be difficult to comprehend and even dull, is easily crowded out by sensationalized news. In order to uncover the current evidence and better understand the mechanism of misinformation spread, we report a systematic review of the nature and potential drivers of health-related misinformation. We searched PubMed, Cochrane, Web of Science, Scopus and Google databases to identify relevant methodological and empirical articles published between 2012 and 2018. A total of 57 articles were included for full-text analysis. Overall, we observe an increasing trend in published articles on health-related misinformation and the role of social media in its propagation. The most extensively studied topics involving misinformation relate to vaccination, Ebola and Zika Virus, although others, such as nutrition, cancer, fluoridation of water and smoking also featured. Studies adopted theoretical frameworks from psychology and network science, while co-citation analysis revealed potential for greater collaboration across fields. Most studies employed content analysis, social network analysis or experiments, drawing on disparate disciplinary paradigms. Future research should examine susceptibility of different sociodemographic groups to misinformation and understand the role of belief systems on the intention to spread misinformation. Further interdisciplinary research is also warranted to identify effective and tailored interventions to counter the spread of health-related misinformation online.

Indexed as

CommunicationDeceptionHealth LiteracyHumansSocial MediaFake newsHealthMisinformationSocial media

Identifiers

PMID31561111
PMCPMC7117034

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.