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

Author:

Lyu Saiyue1ORCID,Lu Zhicong2ORCID

Affiliation:

1. University of Waterloo, Waterloo, ON, Canada

2. City University of Hong Kong, Hong Kong, China

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.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Human-Computer Interaction,Social Sciences (miscellaneous)

Reference85 articles.

1. International Atomic Energy Agency. 2020. IAEA Follow-up Review of Progress Made on Management of ALPS Treated Water and the Report of the Subcommittee on Handling of ALPS treated water at TEPCO's Fukushima Daiichi Nuclear Power Station. (2020). https://www.iaea.org/sites/default/files/20/04/review-report-020420.pdf International Atomic Energy Agency. 2020. IAEA Follow-up Review of Progress Made on Management of ALPS Treated Water and the Report of the Subcommittee on Handling of ALPS treated water at TEPCO's Fukushima Daiichi Nuclear Power Station. (2020). https://www.iaea.org/sites/default/files/20/04/review-report-020420.pdf

2. Daniel P Aldrich . 2012. Building resilience: Social capital in post-disaster recovery . University of Chicago Press. Daniel P Aldrich. 2012. Building resilience: Social capital in post-disaster recovery. University of Chicago Press.

3. David E Alexander . 2014. Social media in disaster risk reduction and crisis management. Science and engineering ethics 20, 3 ( 2014 ), 717--733. David E Alexander. 2014. Social media in disaster risk reduction and crisis management. Science and engineering ethics 20, 3 (2014), 717--733.

4. World Nuclear Association. 2021. Fukushima Daiichi Accident. (2021). https://www.world-nuclear.org/information-library/safety-and-security/safety-of-plants/fukushima-daiichi-accident.aspx World Nuclear Association. 2021. Fukushima Daiichi Accident. (2021). https://www.world-nuclear.org/information-library/safety-and-security/safety-of-plants/fukushima-daiichi-accident.aspx

5. Model simulations on the long-term dispersal of 137 Cs released into the Pacific Ocean off Fukushima

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