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

Infodemiology and Infoveillance (1436) Peer-to-Peer Support and Online Communities (701) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1083) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1764)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45757, first published .
Staying Home, Tweeting Hope: Mixed Methods Study of Twitter Sentiment Geographical Index During US Stay-At-Home Orders

Staying Home, Tweeting Hope: Mixed Methods Study of Twitter Sentiment Geographical Index During US Stay-At-Home Orders

Staying Home, Tweeting Hope: Mixed Methods Study of Twitter Sentiment Geographical Index During US Stay-At-Home Orders

Authors of this article:

Xinming Xia1, 2, 3 Author Orcid Image ;   Yi Zhang4, 5 Author Orcid Image ;   Wenting Jiang6 Author Orcid Image ;   Connor Yuhao Wu6 Author Orcid Image
Article Authors Cited by (6) Tweetations (5) Metrics

Xinming Xia   1, 2, 3 , PhD ;   Yi Zhang   4, 5 , BA ;   Wenting Jiang   6 , PhD ;   Connor Yuhao Wu   6 , PhD

1 School of Public Policy and Management, Tsinghua University, Beijing, China

2 Institute for Contemporary China Studies, Tsinghua University, Beijing, China

3 Chinese Society for Urban Studies, Beijing, China

4 Interdisciplinary Programs Office, The Hong Kong University of Science and Technology, Hong Kong, China (Hong Kong)

5 Urban Governance and Design Thrust, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China

6 Department of Management Science and Information Systems, Oklahoma State University, Stillwater, OK, United States

Corresponding Author:

  • Connor Yuhao Wu, PhD
  • Department of Management Science and Information Systems
  • Oklahoma State University
  • 449 Business Building
  • Stillwater, OK, 74078
  • United States
  • Phone: 1 4057443551
  • Email: yuhaowu@okstate.edu