Large language models need immunisation to protect against misinformation
Abstract
The global spread of health misinformation is endangering public health, from false information about vaccinations to the peddling of unproven and potentially dangerous cancer treatments.1,2 The widespread use of large language models (LLMs) across professional settings and domains is raising important questions about not only their usefulness but also their potential as a vector for the spread of health misinformation. Indeed, the potential susceptibility of LLMs to accept and produce harmful misinformation is especially high stakes in the context of medicine.
Fields of Study & Subjects
Misinformation and Its Impacts
Vaccine Coverage and Hesitancy
Immune responses and vaccinations
Publication details
- Journal / source
- The Lancet Digital Health
- Publisher
- Elsevier BV
- Volume
- 8
- Issue
- 1
- Pages
- 100978–100978
- Publication date
- 1 January 2026
- Language
- EN