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

Disaster Medicine and Mass Casualty Management (24) Information Quality in Digital Media (347) Health and Risk Communication (46) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1666) Infodemiology and Infoveillance (1369) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1050) Quality/Credibility of eHealth Information and Trust Issues (544) Mass Media/Social Media Communication and Campaigns (466)

Published on in Vol 7, No 6 (2021): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26481, first published .
YouTube Videos Related to the Fukushima Nuclear Disaster: Content Analysis

YouTube Videos Related to the Fukushima Nuclear Disaster: Content Analysis

YouTube Videos Related to the Fukushima Nuclear Disaster: Content Analysis

Authors of this article:

Limeng Cui1 Author Orcid Image ;   Lijuan Chu2 Author Orcid Image
Article Authors Cited by (5) Tweetations (1) Metrics

Journals

  1. Wu X, Mao J, Xie H, Li G. Identifying humanitarian information for emergency response by modeling the correlation and independence between text and images. Information Processing & Management 2022;59(4):102977 View
  2. Rout L, Acharya M, Acharya S. Content analysis of YouTube videos regarding natural disasters in India and analysis of users sentiment through viewer comments. Natural Hazards 2024;120(1):219 View
  3. Schwarz A, Unselt J. Rage against the machine? Framing societal threat and efficacy in YouTube videos about artificial intelligence. Risk Analysis 2024;44(10):2377 View
  4. Duan Y, Khoury C, Joh U, Smith A, Cousin C, Hemsley J. Comparing Climate Change Content and Comments across Instagram Reels, TikTok, and YouTube Shorts and Long Videos. Proceedings of the Association for Information Science and Technology 2024;61(1):103 View