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

Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1010) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1552) Infodemiology and Infoveillance (1269) Disaster Medicine and Mass Casualty Management (21)

Published on in Vol 4, No 4 (2018): Oct-Dec

Analysis of the Regionality of the Number of Tweets Related to the 2011 Fukushima Nuclear Power Station Disaster: Content Analysis

Analysis of the Regionality of the Number of Tweets Related to the 2011 Fukushima Nuclear Power Station Disaster: Content Analysis

Analysis of the Regionality of the Number of Tweets Related to the 2011 Fukushima Nuclear Power Station Disaster: Content Analysis

Authors of this article:

Tomohiro Aoki1 Author Orcid Image ;   Teppei Suzuki2 Author Orcid Image ;   Ayako Yagahara3 Author Orcid Image ;   Shin Hasegawa1 Author Orcid Image ;   Shintaro Tsuji2 Author Orcid Image ;   Katsuhiko Ogasawara2 Author Orcid Image
Article Authors Cited by (7) Tweetations (11) Metrics

Journals

  1. Nagaya H, Hayashi T, A. Torii H, Ohsawa Y. Topic Jerk Detector: Detection of Tweet Bursts Related to the Fukushima Daiichi Nuclear Disaster. Information 2020;11(7):368 View
  2. Hasegawa S, Suzuki T, Yagahara A, Kanda R, Aono T, Yajima K, Ogasawara K. Changing Emotions About Fukushima Related to the Fukushima Nuclear Power Station Accident—How Rumors Determined People’s Attitudes: Social Media Sentiment Analysis. Journal of Medical Internet Research 2020;22(9):e18662 View
  3. de Melo T, Figueiredo C. Comparing News Articles and Tweets About COVID-19 in Brazil: Sentiment Analysis and Topic Modeling Approach. JMIR Public Health and Surveillance 2021;7(2):e24585 View
  4. Fujii S, Kunii Y, Nonaka S, Hamaie Y, Hino M, Egawa S, Kuriyama S, Tomita H. Real-Time Prediction of Medical Demand and Mental Health Status in Ukraine under Russian Invasion Using Tweet Analysis. The Tohoku Journal of Experimental Medicine 2023;259(3):177 View
  5. Zarrabeitia-Bilbao E, Jaca-Madariaga M, Rio-Belver R, Álvarez-Meaza I. Nuclear energy: Twitter data mining for social listening analysis. Social Network Analysis and Mining 2023;13(1) View
  6. GÖKMEN E. A Study on the Appearance of the Kahramanmaraş Earthquake on Social Media. OPUS Toplum Araştırmaları Dergisi 2023;20(55):576 View
  7. Kobayashi T, Yamada K, Murakami M, Ozaki A, Torii H, Uno K. Assessment of attitudes toward critical actors during public health crises. International Journal of Disaster Risk Reduction 2024;108:104559 View