Published on in Vol 23, No 1 (2021): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/24889, first published .
A Novel Machine Learning Framework for Comparison of Viral COVID-19–Related Sina Weibo and Twitter Posts: Workflow Development and Content Analysis

A Novel Machine Learning Framework for Comparison of Viral COVID-19–Related Sina Weibo and Twitter Posts: Workflow Development and Content Analysis

A Novel Machine Learning Framework for Comparison of Viral COVID-19–Related Sina Weibo and Twitter Posts: Workflow Development and Content Analysis

Shi Chen   1, 2 , PhD ;   Lina Zhou   3 , PhD ;   Yunya Song   4 , PhD ;   Qian Xu   5 , PhD ;   Ping Wang   6 , MSc ;   Kanlun Wang   3 , MSc ;   Yaorong Ge   7 , PhD ;   Daniel Janies   8 , PhD

1 Department of Public Health Sciences, University of North Carolina at Charlotte, Charlotte, NC, United States

2 School of Data Science, University of North Carolina at Charlotte, Charlotte, NC, United States

3 School of Business, University of North Carolina at Charlotte, Charlotte, NC, United States

4 Department of Journalism, Hong Kong Baptist University, Hong Kong, China (Hong Kong)

5 School of Communications, Elon University, Elon, NC, United States

6 Department of Medical Informatics, School of Public Health, Jilin University, Jilin, China

7 Department of Software and Information System, University of North Carolina at Charlotte, Charlotte, NC, United States

8 Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC, United States

Corresponding Author:

  • Shi Chen, PhD
  • Department of Public Health Sciences
  • University of North Carolina at Charlotte
  • 9021 University City Blvd
  • Charlotte, NC, 28223-0001
  • United States
  • Phone: 1 8148800738
  • Email: schen56@uncc.edu