ReviewFrontiers in public health2026
Susceptibility to digital health misinformation: a multi-level narrative review.
Review in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
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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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.