Published on in Vol 5 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/62703, first published .
Identifying Misinformation About Unproven Cancer Treatments on Social Media Using User-Friendly Linguistic Characteristics: Content Analysis

Identifying Misinformation About Unproven Cancer Treatments on Social Media Using User-Friendly Linguistic Characteristics: Content Analysis

Identifying Misinformation About Unproven Cancer Treatments on Social Media Using User-Friendly Linguistic Characteristics: Content Analysis

Ilona Fridman   1 , PhD ;   Dahlia Boyles   2 , MA ;   Ria Chheda   3 , BS ;   Carrie Baldwin-SoRelle   4 , MLiS ;   Angela B Smith   1 , MD ;   Jennifer Elston Lafata   1, 5 , PhD

1 Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, United States

2 Department of Communication, University of North Carolina, Chapel Hill, NC, United States

3 Computer Science Department, University of North Carolina, Chapel Hill, NC, United States

4 Health Sciences Library, University of North Carolina, Chapel Hill, NC, United States

5 Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, NC, United States

Corresponding Author:

  • Ilona Fridman, PhD
  • Lineberger Comprehensive Cancer Center
  • University of North Carolina
  • 450 West Dr
  • Chapel Hill, NC, 27599
  • United States
  • Phone: 1 6469028137
  • Email: ilona_fridman@med.unc.edu