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, US

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

3 School of Business, University of North Carolina at Charlotte , Charlotte, NC, US

4 Department of Journalism, Hong Kong Baptist University , Hong Kong , HK

5 School of Communications, Elon University , Elon, NC, US

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

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

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

Corresponding Author:

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