Published on in Vol 9, No 3 (2022): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27244, first published .
Detecting and Measuring Depression on Social Media Using a Machine Learning Approach: Systematic Review

Detecting and Measuring Depression on Social Media Using a Machine Learning Approach: Systematic Review

Detecting and Measuring Depression on Social Media Using a Machine Learning Approach: Systematic Review

Danxia Liu   1 * , PhD ;   Xing Lin Feng   2 * , PhD ;   Farooq Ahmed   3, 4 , PhD ;   Muhammad Shahid   5 , PhD ;   Jing Guo   2 , PhD

1 School of Sociology, Huazhong University of Science and Technology, Wuhan, China

2 Department of Health Policy and Management, School of Public Health, Peking University, Beijing, China

3 Department of Anthropology, University of Washington Seattle, Seattle, WA, United States

4 Department of Anthropology, Quaid-I-Azam University Islamabad, Islamabad, Pakistan

5 School of Insurance and Economics, University of International Business and Economics, Beijing, China

*these authors contributed equally

Corresponding Author:

  • Jing Guo, PhD
  • Department of Health Policy and Management
  • School of Public Health
  • Peking University
  • 38 Xueyuan Road
  • Beijing, 100191
  • China
  • Phone: 86 18086471505
  • Email: jing624218@bjmu.edu.cn