Twitter-based Disaster Situation Analysis of the 2023 Turkey-Syria Earthquake

Authors

  • Ampan Laosunthara Institute of Science Tokyo
  • Kumpol Saengtabtim Chulalongkorn University
  • Takumi Ohashi Institute of Science Tokyo; Chulalongkorn University
  • Jing Tang Chulalongkorn University https://orcid.org/0000-0002-4835-1016
  • Natt Leelawat Chulalongkorn University

DOI:

https://doi.org/10.4186/ej.2025.29.9.87

Keywords:

2023 Turkey–Syria earthquake, disaster risk management cycle, disaster situation, Twitter

Abstract

Earthquakes are among the most severe natural disasters, and most earthquakes occur without warning or time for preparation. One of the main ways to mitigate the impact of earthquakes is to understand the phases of the disaster according to the disaster management cycle. The 2023 Turkey–Syria earthquake resulted in many casualties and damaged many buildings. In this study, we analyzed each phase of the disaster management phase using data acquired from the Twitter social media platform. Here, tweets related to the 2023 Turkey–Syria earthquake were collected from February 1st to March 10th, 2023. The acquired text data were then tokenized to group them into the keywords related to each disaster management cycle phase. We expect that the findings of this research will help disaster-related organizations understand the situation and manage disasters according to each phase of the disaster risk management cycle.

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Author Biographies

Ampan Laosunthara
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School of Environment and Society, Institute of Science Tokyo, Ookayama, Meguro-ku, Tokyo 152-8550, Japan

Kumpol Saengtabtim
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Department of Industrial Engineering, Faculty of Engineering, Chulalongkorn University, Phayathai Road, Pathumwan, Bangkok 10330, Thailand

Takumi Ohashi
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School of Environment and Society, Institute of Science Tokyo, Ookayama, Meguro-ku, Tokyo 152-8550, Japan; Center of Excellence in Disaster and Risk Management Information Systems, Chulalongkorn University, Phayathai Road, Pathumwan, Bangkok 10330, Thailand

Jing Tang
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Center of Excellence in Disaster and Risk Management Information Systems, Chulalongkorn University, Phayathai Road, Pathumwan, Bangkok 10330, Thailand; Chulalongkorn School of Integrated Innovation, Chulalongkorn University, Phayathai Road, Pathumwan, Bangkok 10330, Thailand

Natt Leelawat
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Department of Industrial Engineering, Faculty of Engineering, Chulalongkorn University; Center of Excellence in Disaster and Risk Management Information Systems, Chulalongkorn University, Phayathai Road, Pathumwan, Bangkok 10330, Thailand; Graduate School of System Design and Management, Keio University, Kanagawa, Japan

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Published In
Vol 29 No 9, Sep 30, 2025
How to Cite
[1]
A. Laosunthara, K. Saengtabtim, T. Ohashi, J. Tang, and N. Leelawat, “Twitter-based Disaster Situation Analysis of the 2023 Turkey-Syria Earthquake”, Eng. J., vol. 29, no. 9, pp. 87-96, Sep. 2025.
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