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Improvement of Twitter-based disaster-related information sharing system

Keisuke Utsu · Sachi Tajima · Makoto Tornita · Yoshitaka Kajita · Yoshiro Yamamoto · Osamu Uchida

28 citations0/0 files storedInternational Conference on Information and Communication Technologies for Disaster Management (ICT-DM)

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Public Relations and Crisis Communication Disaster Management and Resilience Geographic Information Systems Studies

Abstract

Utilizing Twitter at the time of accidents has been gaining attention, because to minimize the damage in case of a disaster, it is important to collect and spread accurate information quickly. To support information sharing in the aftermath of a disaster utilizing Twitter, Uchida et al. proposed a Twitter-based disaster-related information sharing system which is consisting of two subsystems; DITS (Disaster Information Tweeting System) and DIMS (Disaster Information Mapping System). However, there are several problems on the system. Foe example, there were cases where incorrect tweet mapping, which is problematic in practical use, occurred. Therefore, in this study, we try to improve the system.

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References

2010You are where you tweet 2015Socializing in emergencies—A review of the use of social media in emergency situations 2011Twitter for crisis communication: lessons learned from Japan's tsunami disaster 2015Communicating on Twitter during a disaster: An analysis of tweets during Typhoon Haiyan in the Philippines 2015Digital Humanitarians: How Big Data Is Changing the Face of Humanitarian Response 2015Digital Humanitarians 2015Extracting Situational Information from Microblogs during Disaster Events 2012Utilization of Social Media in the East Japan Earthquake and Tsunami and its Effectiveness

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2018An Analysis of Tweets During the 2018 Osaka North Earthquake in Japan -A Brief Report 2020Telegram-Based Chatbot Application for Foreign People in Japan to Share Disaster-Related Information in Real-Time 2019Analysis of Rescue Request Tweets in the 2018 Japan Floods 2019A Twitter-Based Disaster Information Sharing System 2018Time Trend Analysis of “#Rescue” Tweets During and After The 2017 Northern Kyushu Heavy Rain Disaster

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