ArticleJournal of medical Internet research2024
Racial and Demographic Disparities in Susceptibility to Health Misinformation on Social Media: National Survey-Based Analysis.
Article in Journal of medical Internet research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Low income and health literacy: a systematic scoping review.Archives of public health = Archives belges de sante publique · 2025Pooled it
- Information Source-Message Effect on Consumers' Intentions to Adhere to Food Safety Practices When Handling and Preparing Raw Chicken.Foods (Basel, Switzerland) · 2026Article
- Multilayered Epistemic Disruption in AI-Driven Health Misinformation: Conceptual Framework and Viewpoint.JMIR infodemiology · 2026Article
- Development and Preliminary Evaluation of the OCODES Digital Strategy in Response to Health Misinformation: Nominal Group Technique and Retrospective Usability Evaluation Study.JMIR formative research · 2026Article
- Quality of rib fracture-related video information on TikTok and Bilibili: a cross-sectional study.Journal of thoracic disease · 2026Article
- Online Health Misinformation Susceptibility Increases Health Risk Behaviors and Vaccine Hesitancy: Evidence from Greece.Healthcare (Basel, Switzerland) · 2026Article
- Perceptions of health misinformation on social media: patterns and predictors.Frontiers in medicine · 2026Article
- Political ideology, sociodemographic factors, and social media health information engagement among U.S. adults: evidence from HINTS 2024.Frontiers in digital health · 2026Article
- Health misinformation, digital health literacy, and attitudes toward science among university students: an exploratory cross-sectional survey.Frontiers in public health · 2026Article
- Susceptibility to digital health misinformation: a multi-level narrative review.Frontiers in public health · 2026Review
- Problematic mental health-related advice: exploring the role and limitations of EU's digital toolbox on the case of #TherapyTok.Frontiers in public health · 2026Article
- Addressing misleading medical information on social media: a scoping review of current interventions.BMJ evidence-based medicine · 2025Article
- The link between tobacco smoking and susceptibility to misinformation.Psychopharmacology · 2025Article
- Misinformation and disinformation undermine progress in pediatric research: challenges and solutions.Pediatric research · 2025Article
- Digital Divide or Educational Divide? The Impact of Social Media on COVID-19 Vaccination in Middle-Aged and Older Adults.medRxiv : the preprint server for health sciences · 2025Article
- Advocating for a community-centred model for responding to potential information harms.Nature human behaviour · 2025Review
- How the General Public Navigates Health Misinformation on Social Media: Qualitative Study of Identification and Response Approaches.JMIR infodemiology · 2025Article
- "A lot of the answers come from within you as well": benefits and limitations to utilizing and adapting a virtual platform to enhance social interaction and group learning.BMC digital health · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSocial media platforms have transformed the dissemination of health information, allowing for rapid and widespread sharing of content. However, alongside valuable medical knowledge, these platforms have also become channels for the spread of health misinformation, including false claims and misleading advice, which can lead to significant public health risks. Susceptibility to health misinformation varies and is influenced by individuals' cultural, social, and personal backgrounds, further complicating efforts to combat its spread.
objectiveThis study aimed to examine the extent to which individuals report encountering health-related misinformation on social media and to assess how racial, ethnic, and sociodemographic factors influence susceptibility to such misinformation.
methodsData from the Health Information National Trends Survey (HINTS; Cycle 6), conducted by the National Cancer Institute with 5041 US adults between March and November 2022, was used to explore associations between racial and sociodemographic factors (age, gender, race/ethnicity, annual household income, marital status, and location) and susceptibility variables, including encounters with misleading health information on social media, difficulty in assessing information truthfulness, discussions with health providers, and making health decisions based on such information.
resultsOver 35.61% (1740/4959) of respondents reported encountering "a lot" of misleading health information on social media, with an additional 45% (2256/4959) reporting seeing "some" amount of health misinformation. Racial disparities were evident in comparison with Whites, with non-Hispanic Black (odds ratio [OR] 0.45, 95% CI 0.33-0.6, P<.01) and Hispanic (OR 0.54, 95% CI 0.41-0.71, P<.01) individuals reporting lower odds of finding deceptive information, while Hispanic (OR 1.68, 95% CI 1.48-1.98, P<.05) and non-Hispanic Asian (OR 1.96, 95% CI 1.21-3.18, P<.01) individuals exhibited higher odds in having difficulties in assessing the veracity of health information found on social media. Hispanic and Asian individuals were more likely to discuss with providers and make health decisions based on social media information. Older adults aged ≥75 years exhibited challenges in assessing health information on social media (OR 0.63, 95% CI 0.43-0.93, P<.01), while younger adults (18-34) showed increased vulnerability to health misinformation. In addition, income levels were linked to higher exposure to health misinformation on social media: individuals with annual household incomes between US $50,000 and US $75,000 (OR 1.74, 95% CI 1.14-2.68, P<.01), and greater than US $75,000 (OR 1.78, 95% CI 1.20-2.66, P<.01) exhibited greater odds, revealing complexities in decision-making and information access.
conclusionsThis study highlights the pervasive presence of health misinformation on social media, revealing vulnerabilities across racial, age, and income groups, underscoring the need for tailored interventions.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.