Abstract
The 2011 Fukushima Daiichi nuclear disaster has led to worldwide disruptive discussions related to crisis. In April 2021, the news that the Japanese Cabinet decided to discharge the stored wastewater into the Pacific Ocean drew global attention once again. Social media platforms like Twitter are ubiquitously used to gain information and exchange opinions during and after a crisis. Analyzing crisis-related tweets can help capture insights for public situational awareness development, crisis global response coordination, and post-disaster policy-making. We examined corresponding Twitter discourse in different languages about the nuclear disaster in 2011 and the follow-up discharge of the stored water until 2021. We utilized NLP techniques including topic modeling and sentiment analysis to identify the dominant topics related to the nuclear disaster, the post-disaster discourses, and the public attitudes towards these topics in different time phases. Our work revealed multilingual disparities of post-disaster discourse dynamics and the regional public attitudes towards the post-disaster management in the long run. © 2023 Copyright held by the owner/author(s).
| Original language | English |
|---|---|
| Article number | 51 |
| Journal | Proceedings of the ACM on Human-Computer Interaction |
| Volume | 7 |
| Issue number | CSCW1 |
| Online published | 16 Apr 2023 |
| DOIs | |
| Publication status | Published - Apr 2023 |
Bibliographical note
Full text of this publication does not contain sufficient affiliation information. With consent from the author(s) concerned, the Research Unit(s) information for this record is based on the existing academic department affiliation of the author(s).Research Keywords
- crisis informatics
- multilingual analysis
- social media
- the Fukushima Daiichi nuclear disaster
