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

Infodemiology and Infoveillance (1349) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641) Disaster Medicine and Mass Casualty Management (22) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041)

Published on in Vol 22, No 9 (2020): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18662, first published .
Changing Emotions About Fukushima Related to the Fukushima Nuclear Power Station Accident—How Rumors Determined People’s Attitudes: Social Media Sentiment Analysis

Changing Emotions About Fukushima Related to the Fukushima Nuclear Power Station Accident—How Rumors Determined People’s Attitudes: Social Media Sentiment Analysis

Changing Emotions About Fukushima Related to the Fukushima Nuclear Power Station Accident—How Rumors Determined People’s Attitudes: Social Media Sentiment Analysis

Authors of this article:

Shin Hasegawa1, 2 Author Orcid Image ;   Teppei Suzuki3, 4 Author Orcid Image ;   Ayako Yagahara4, 5 Author Orcid Image ;   Reiko Kanda2 Author Orcid Image ;   Tatsuo Aono2 Author Orcid Image ;   Kazuaki Yajima2 Author Orcid Image ;   Katsuhiko Ogasawara2, 4 Author Orcid Image
Article Authors Cited by (11) Tweetations (5) Metrics

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  3. Godovykh M, Ridderstaat J, Baker C, Fyall A. COVID-19 and Tourism: Analyzing the Effects of COVID-19 Statistics and Media Coverage on Attitudes toward Tourism. Forecasting 2021;3(4):870 View
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  5. Xu H, Tang T, Zhang B, Liu Y. Automatic sentiment analysis of public opinion on nuclear energy. Kerntechnik 2022;87(2):167 View
  6. Lyu S, Lu Z. Exploring Temporal and Multilingual Dynamics of Post-Disaster Social Media Discourse: A Case of Fukushima Daiichi Nuclear Accident. Proceedings of the ACM on Human-Computer Interaction 2023;7(CSCW1):1 View
  7. Md Suhaimin M, Ahmad Hijazi M, Moung E, Nohuddin P, Chua S, Coenen F. Social media sentiment analysis and opinion mining in public security: Taxonomy, trend analysis, issues and future directions. Journal of King Saud University - Computer and Information Sciences 2023;35(9):101776 View
  8. Mori Y, Miyatake N, Suzuki H, Mori Y, Okada S, Tanimoto K. Comparison of Impressions of COVID-19 Vaccination and Influenza Vaccination in Japan by Analyzing Social Media Using Text Mining. Vaccines 2023;11(8):1327 View
  9. Minamitani M, Katano A, Nakagawa K. Assessing the effectiveness of a school educational video on cancer and radiotherapy. Health Education Journal 2023;82(7):820 View
  10. Morimoto R. Radioactive Mosquito Bite and Its Surreal Life. Public Culture 2023;35(3):319 View
  11. Kwon O, Vu K, Bhargava N, Radaideh M, Cooper J, Joynt V, Radaideh M. Sentiment analysis of the United States public support of nuclear power on social media using large language models. Renewable and Sustainable Energy Reviews 2024;200:114570 View