Health misinformation

Misinformation and disinformation specifically concerning health topics, including diseases, treatments, vaccines, and wellness practices, disseminated through social media platforms. Health misinformation is particularly consequential because false medical claims can directly impact individual health behaviors and public health outcomes.

Scope and key topics

Health misinformation encompasses a diverse range of health-related topics:

• Vaccines and vaccination: Vaccine safety concerns, anti-vaccination claims, HPV vaccine hesitancy
• Drugs and controlled substances: Misinformation about opioids, marijuana, e-cigarettes, cocaine, and prescription drugs
• Noncommunicable diseases: Unproven cures or dangerous treatments for cancer, diabetes, hypertension, and other chronic conditions
• Pandemics and communicable diseases: COVID-19, Zika, Ebola, H1N1 misinformation; false treatment claims
• Eating disorders: Pro-eating disorder content, normalization of harmful eating behaviors
• Medical treatments and interventions: Misinformation about surgical procedures, therapies, and alternative medicine

Platform dynamics

Different social media platforms host distinct health misinformation ecosystems:

• Twitter: Most common platform for health misinformation studies; particularly prevalent for vaccine and drug-related misinformation
• YouTube: Substantial health misinformation content; algorithms may amplify fringe health claims
• Facebook: Community groups and pages organize around health skepticism; moderate information quality
• Instagram, Pinterest: Visual health misinformation and alternative medicine promotion
• Specialized communities: Pro-eating disorder forums and communities, anti-vaccination groups

Methodological approaches

Research on health misinformation employs diverse methodological techniques:

• Content analysis: Classifying health claims as true, false, or misleading
• Sentiment analysis: Examining emotional tone and emotional drivers of sharing
• Social network analysis: Tracing propagation patterns and community structure
• Quality evaluation: Assessing reliability and adherence to scientific consensus
• Comparative analysis: Contrasting health information prevalence across platforms and topics

Psychological and social drivers

Health misinformation spreads due to multiple factors:

• Trust deficits: Low trust in medical institutions, governments, or pharmaceutical companies
• Confirmation bias: Selective exposure to information confirming existing health beliefs
• Emotional appeal: Health scares and miracle cures trigger strong emotional responses
• Community identity: Health skepticism becomes identity-protective within online communities
• Algorithmic amplification: Social media algorithms may inadvertently amplify health misinformation through engagement-driven ranking

Public health impact

• Health misinformation can discourage vaccination, delay treatment-seeking, or promote ineffective or harmful remedies
• During health crises (e.g., pandemics), misinformation may undermine public health interventions
• Vulnerable populations (lower health literacy, marginalized communities) may be disproportionately affected
• Collective health outcomes depend on information quality in digital health ecosystems

Key papers in this wiki

• Suarez-Lledo & Alvarez-Galvez (2021) — Prevalence of Health Misinformation on Social Media: Systematic Review — comprehensive systematic review of 69 studies identifying six principal health misinformation topics and their prevalence across platforms
• Wilson & Wiysonge (2020) — Social media and vaccine hesitancy — cross-national analysis showing social media organizational capacity predicts vaccine skepticism and declining vaccination rates
• Roozenbeek et al. (2020) — Susceptibility to misinformation about COVID-19 around the world — international survey linking COVID-19 misinformation susceptibility to vaccine hesitancy

Related topics

• Vaccine hesitancy and vaccine safety concerns — psychological and social drivers of vaccine skepticism
• Infodemic — information disorder during crises, including health crises
• COVID-19 misinformation — pandemic-specific health misinformation
• Social media analysis — methodologies for studying information on platforms
• Misinformation — broader topic on false information and belief formation

Open challenges

• How can public health agencies effectively counter health misinformation in polarized environments?
• What are the causal effects of health misinformation exposure on individual health behaviors and population-level health outcomes?
• Which interventions (prebunking, debunking, media literacy) are most effective against health misinformation, and do effects vary by topic and audience?
• How do platform algorithms contribute to health misinformation amplification, and what platform design changes could reduce harm?
• How can health misinformation research better represent non-English-language and non-Western social media ecosystems?