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

Infodemic Management (49) Infodemiology and Infoveillance (1369) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1666) Infoveillance and Social Listening (214) JMIR Theme Issue: COVID-19 Special Issue (2461) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1520) Machine Learning (1501)

Published on in Vol 4 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/49699, first published .
Exploring the Impact of the COVID-19 Pandemic on Twitter in Japan: Qualitative Analysis of Disrupted Plans and Consequences

Exploring the Impact of the COVID-19 Pandemic on Twitter in Japan: Qualitative Analysis of Disrupted Plans and Consequences

Exploring the Impact of the COVID-19 Pandemic on Twitter in Japan: Qualitative Analysis of Disrupted Plans and Consequences

Authors of this article:

Masaru Kamba1 Author Orcid Image ;   Wan Jou She1 Author Orcid Image ;   Kiki Ferawati1 Author Orcid Image ;   Shoko Wakamiya1, 2 Author Orcid Image ;   Eiji Aramaki1 Author Orcid Image
Article Authors Cited by Tweetations (6) Metrics

Masaru Kamba   1 , PhD ;   Wan Jou She   1 , PhD ;   Kiki Ferawati   1 , MStat ;   Shoko Wakamiya   1, 2 , PhD ;   Eiji Aramaki   1 , PhD

1 Division of Information Science, Graduate School of Science and Technology, Nara Institute of Science and Technology, Ikoma, Japan

2 Institute of Industrial Science, The University of Tokyo, Tokyo, Japan

Corresponding Author:

  • Eiji Aramaki, PhD
  • Division of Information Science
  • Graduate School of Science and Technology
  • Nara Institute of Science and Technology
  • 8916-5 Takayama-cho
  • Ikoma, 630-0192
  • Japan
  • Phone: 81 0743 72 5250
  • Email: aramaki@is.naist.jp