Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/42863, first published .
Social Media Data Mining of Antitobacco Campaign Messages: Machine Learning Analysis of Facebook Posts

Social Media Data Mining of Antitobacco Campaign Messages: Machine Learning Analysis of Facebook Posts

Social Media Data Mining of Antitobacco Campaign Messages: Machine Learning Analysis of Facebook Posts

Shuo-Yu Lin   1 , MS ;   Xiaolu Cheng   2 , PhD ;   Jun Zhang   3 , PhD ;   Jaya Sindhu Yannam   1 , PharmD ;   Andrew J Barnes   4 , PhD ;   J Randy Koch   5, 6 , PhD ;   Rashelle Hayes   7 , PhD ;   Gilbert Gimm   1 , PhD ;   Xiaoquan Zhao   8 , PhD ;   Hemant Purohit   9 , PhD ;   Hong Xue   1 , PhD

1 Department of Health Administration and Policy, College of Public Health, George Mason University, Fairfax, VA, United States

2 School of Computer Science and Engineering, Changshu Institute of Technology, Suzhou, Jiangsu Province, China

3 Department of Physics and Engineering, College of Engineering and Science, Slippery Rock University of Pennsylvania, Slippery Rock, PA, United States

4 Department of Health Behavior and Policy, School of Medicine, Virginia Commonwealth University, Richmond, VA, United States

5 Department of Psychology, College of Humanities and Sciences, Virginia Commonwealth University, Richmond, VA, United States

6 Center for the Study of Tobacco Products, Virginia Commonwealth University, Richmond, VA, United States

7 Department of Psychiatry, School of Medicine, Virginia Commonwealth University, Richmond, VA, United States

8 Department of Communication, College of Humanities and Social Sciences, George Mason University, Fairfax, VA, United States

9 Department of Information Sciences and Technology, College of Engineering and Computing, George Mason University, Fairfax, VA, United States

Corresponding Author:

  • Hong Xue, PhD
  • Department of Health Administration and Policy
  • College of Public Health
  • George Mason University
  • 4400 University Dr, Fairfax
  • Fairfax, VA, 22030
  • United States
  • Phone: 1 703-993-9833
  • Fax: 1 703-993-1953
  • Email: hxue4@gmu.edu