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This paper is in the following e-collection/theme issue:

Artificial Intelligence (4936) Infodemic Management (80) Misinformation and Disinformation Outbreaks and Information Prevalence Studies (170) Bots and AI Approaches to Detect and Counter Misinformation (30) Research Methodology - AI (199) Applications of AI (1058)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/75500, first published .
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Intervention in Health Misinformation Using Large Language Models for Automated Detection, Thematic Analysis, and Inoculation: Case Study on COVID-19

Intervention in Health Misinformation Using Large Language Models for Automated Detection, Thematic Analysis, and Inoculation: Case Study on COVID-19

Authors of this article:

Samira Malek1 Author Orcid Image ;   Christopher Griffin2, 3 Author Orcid Image ;   Robert D Fraleigh2 Author Orcid Image ;   Robert Lennon4 Author Orcid Image ;   Vishal Monga5 Author Orcid Image ;   Lijiang Shen6 Author Orcid Image
Article Authors Cited by (3) Tweetations (29) Metrics

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  1. Vijayakumar K, Parthasarathy P, Ponni Valavan M, Anandaram H, Susheelkumar Sreedharan P, Sahadevan J. Enhanced label-free SARS-CoV-2 biomarker detection using a gold-functionalized Ag–ZnO–Fe₂O₃ multilayer surface plasmon resonance biosensor. Optik 2026;352:172839 View
  2. Hu Y. AI-enabled health communication to address misinformation on social media: a mini review. Frontiers in Communication 2026;11 View

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  1. Ljubi I, Vukovic M. 2026 11th International Conference on Smart and Sustainable Technologies (SpliTech). Domain-Adaptive Pretraining for Healthcare-Related Croatian Twitter Classification View