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Exploring Temporal and Multilingual Dynamics of Post-Disaster Social Media Discourse: A Case of Fukushima Daiichi Nuclear Accident

Authors:

Zhicong LuAuthors Info & Claims

Proceedings of the ACM on Human-Computer Interaction, Volume 7, Issue CSCW1

Article No.: 51, Pages 1 - 24

https://doi.org/10.1145/3579484

Published: 16 April 2023 Publication History

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.

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Index Terms

Exploring Temporal and Multilingual Dynamics of Post-Disaster Social Media Discourse: A Case of Fukushima Daiichi Nuclear Accident
1. Human-centered computing
  1. Collaborative and social computing
    1. Collaborative and social computing design and evaluation methods
      1. Social network analysis

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cover image Proceedings of the ACM on Human-Computer Interaction

Proceedings of the ACM on Human-Computer Interaction Volume 7, Issue CSCW1

CSCW

April 2023

3836 pages

EISSN:2573-0142

DOI:10.1145/3593053

Editor:
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Published: 16 April 2023

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Shin JKim HPark HWoo W(2024)Investigating the Design of Augmented Narrative Spaces Through Virtual-Real Connections: A Systematic Literature ReviewProceedings of the CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642819(1-18)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642819
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https://dl.acm.org/doi/10.1145/3613904.3642357
Cai JLi JZhang MLi MWang CTei K(2024)Language Evolution for Evading Social Media Regulation via LLM-Based Multi-Agent Simulation2024 IEEE Congress on Evolutionary Computation (CEC)10.1109/CEC60901.2024.10612015(1-10)Online publication date: 30-Jun-2024
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Md Suhaimin MAhmad Hijazi MMoung ENohuddin PChua SCoenen F(2024)Social media sentiment analysis and opinion mining in public securityJournal of King Saud University - Computer and Information Sciences10.1016/j.jksuci.2023.10177635:9Online publication date: 1-Feb-2024
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Mahindrakar SMondal TArosh SDhakne AChavan D(2024)Exploration of summary informativeness and topic richness through mining multilingual tweets: a study on turkey earthquake 2023Social Network Analysis and Mining10.1007/s13278-024-01386-814:1Online publication date: 5-Dec-2024
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Abid SChan SSulaiman NBhatti UNazir U(2023)Present and Future of Artificial Intelligence in Disaster Management2023 International Conference on Engineering Management of Communication and Technology (EMCTECH)10.1109/EMCTECH58502.2023.10296991(1-7)Online publication date: 16-Oct-2023
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