Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/75500, first published .
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

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

Samira Malek   1 , MS ;   Christopher Griffin   2, 3 , PhD ;   Robert D Fraleigh   2 , PhD ;   Robert Lennon   4 , MD, JD ;   Vishal Monga   5 , PhD ;   Lijiang Shen   6 , PhD

1 Department of Computer Science and Engineering, Pennsylvania State University, University Park, PA, United States

2 Applied Research Laboratory, Pennsylvania State University, University Park, PA, United States

3 Department of Mathematics, Pennsylvania State University, University Park, PA, United States

4 PrimeCare Medical, Harrisburg, PA, United States

5 Department of Electrical Engineering, Pennsylvania State University, University Park, PA, United States

6 Department of Communication Arts and Sciences, Pennsylvania State University, University Park, PA, United States

Corresponding Author:

  • Lijiang Shen, PhD
  • Department of Communication Arts and Sciences
  • Pennsylvania State University
  • 211 Sparks Building
  • University Park, PA 16802
  • United States
  • Phone: 1 (814) 865-1736
  • Email: lus32@psu.edu