Generative AI and health misinformation: production, propagation, and mitigation—a systematic review
Generative AI transforms the health misinformation landscape by lowering barriers to creation and exploiting platform and behavioral dynamics. Current mitigation strategies-spanning technical, sociotechnical, and governance layers-are promising but remain nascent and unevenly evaluated. Future work must prioritize multimodal, multilingual, and health‑specific verification, as well as real‑world testing of interventions, to build equitable and resilient health information ecosystems.
Authors
- Hamid Reza Saeidnia (ORCID: https://orcid.org/0000-0001-5430-2416)
- Hamid Keshavarz (ORCID: https://orcid.org/0000-0002-5589-238X)
- Nasrin Ghiasi (ORCID: https://orcid.org/0000-0003-3954-2045)
- Shamim Jahani
Institutions
- Tarbiat Modares University (IR)
- Ilam University (IR)
- Shahid Beheshti University (IR)
- Babol University of Medical Sciences (IR)
Publication Details
- Journal
- BMC Public Health
- Published
- 2026-01-29
- DOI
- https://doi.org/10.1186/s12889-025-26148-9
- Primary Topic
- Misinformation and Its Impacts
- Type
- article
- Field-Weighted Citation Impact
- 0.00