This paper is in the following e-collection/theme issue:

Infodemiology and Infoveillance (1270) JMIR Theme Issue: COVID-19 Special Issue (2388)

Published on in Vol 22, No 11 (2020): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/22639, first published .
The COVID-19 Infodemic: Infodemiology Study Analyzing Stigmatizing Search Terms

The COVID-19 Infodemic: Infodemiology Study Analyzing Stigmatizing Search Terms

The COVID-19 Infodemic: Infodemiology Study Analyzing Stigmatizing Search Terms

Authors of this article:

Zhiwen Hu1 Author Orcid Image ;   Zhongliang Yang2 Author Orcid Image ;   Qi Li2 Author Orcid Image ;   An Zhang3 Author Orcid Image
Article Authors Cited by (37) Tweetations (3) Metrics

Zhiwen Hu   1 * , PhD ;   Zhongliang Yang   2 * , PhD ;   Qi Li   2 * , BA ;   An Zhang   3 , PhD

1 School of Computer and Information Engineering, Zhejiang Gongshang University, Hangzhou, China

2 Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, China

3 State Key Laboratory of Resources and Environmental Information System, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China

*these authors contributed equally

Corresponding Author:

  • Zhiwen Hu, PhD
  • School of Computer and Information Engineering, Zhejiang Gongshang University
  • No 18 Xuezheng Street
  • Higher Education Zone
  • Hangzhou, 310018
  • China
  • Phone: 86 0571-28008316
  • Email: huzhiwen@zjgsu.edu.cn