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Narrative review identifies determinants of susceptibility to digital health misinformationWhat makes people fall for health misinformation online?

AI-generated summary of the cited source, checked by automated accuracy review. How we work

Key Takeaway
Note that low health literacy and reliance on social media networks are associated with increased misinformation risk.

This narrative review explores the various factors that contribute to susceptibility to digital health misinformation on digital platforms. The authors analyze determinants across three distinct levels: individual, relational, and platform-level factors.

At the individual level, susceptibility is associated with limited health, digital, eHealth, and news literacy. Other identified factors include reduced cognitive reflection and numeracy, heightened emotional responses, and identity-driven reasoning. At the relational level, trust in clinicians and scientific institutions serves as a protective factor, whereas reliance on peer networks, social media, or alternative health communities is linked to increased risk.

At the platform level, the review notes that algorithmic curation, passive news exposure, information overload, and AI-generated content shape susceptibility and sharing behavior. The authors discuss these associations and determinants rather than establishing direct causation.

These findings provide implications for targeted interventions and future research regarding digital health misinformation. Clinicians may use these insights to understand the environmental and individual factors influencing patient information processing.

A new review of research explores why some people are more likely to believe and share health misinformation on digital platforms. The review looked at factors at three levels: individual, relational, and platform.

At the individual level, people with limited health, digital, or news literacy were more susceptible. So were those who relied on emotions or identity-driven reasoning rather than careful thinking. At the relational level, trusting doctors and scientific institutions was protective, while relying on peer networks or social media increased risk.

Platform features also played a role. Algorithmic curation, passive news exposure, information overload, and AI-generated content all made people more vulnerable to misinformation.

The review is a narrative summary of existing research, not a new experiment. It does not prove that these factors cause susceptibility, only that they are linked. The findings can help guide future research and efforts to reduce the spread of health misinformation online.

What this means for you:
Health literacy and trust in science help protect against digital health misinformation.

Study Details

Study typeSystematic review
EvidenceLevel 1
PublishedApr 2026
View Original Abstract ↓
Digital platforms have transformed access to health information while also enabling the rapid spread of health misinformation. This narrative review synthesizes evidence from individual, relational, and platform perspectives to provide a multi-level analysis of susceptibility to digital health misinformation. It examines how susceptibility is conceptualized and measured, then organizes determinants across the three domains. At the individual level, susceptibility is associated with limited health, digital, eHealth, and news literacy; reduced cognitive reflection and numeracy; heightened emotional responses; and identity-driven reasoning. Relational factors—particularly trust in clinicians and scientific institutions—are protective, whereas reliance on peer networks, social media, or alternative health communities increases risk. At the platform level, algorithmic curation, passive news exposure, information overload, and AI-generated content shape both susceptibility and sharing behavior. Cross-level interactions further modulate vulnerability. The review concludes with targeted implications for intervention and future research.
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