A Disaster-related Information Gathering Method by Focusing on Tweets Posted Immediately after Retweeting of News Posts about Kumamoto Earthquake

The usefulness of Twitter for collecting disaster-related information is noticed especially after the Great East Japan Earthquake in 2011. We have studied the use of Twitter posts (tweets) to support victims. To obtain disaster-related information, we focused on tweets posted immediately after retwe...

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Bibliographic Details
Published inProceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA) pp. 196 - 202
Main Authors Tokunaga, Shusaku, Manaka, Ayami, Uchida, Osamu, Utsu, Keisuke
Format Conference Proceeding
LanguageEnglish
Published Athens The Steering Committee of The World Congress in Computer Science, Computer Engineering and Applied Computing (WorldComp) 01.01.2017
Subjects
Disasters
Earthquakes
International conferences
Keywords
Natural language processing
News
Social networks
Studies
Japan
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Summary:The usefulness of Twitter for collecting disaster-related information is noticed especially after the Great East Japan Earthquake in 2011. We have studied the use of Twitter posts (tweets) to support victims. To obtain disaster-related information, we focused on tweets posted immediately after retweeting of a disaster-related news post (called sample tweets). In this study, we focus on news posts pertaining to the 2016 Kumamoto Earthquake and analyze sample tweets. The analysis result shows that the majority of the sample tweets were related to the earthquake. In addition, to collect disaster-related tweets automatically by focusing on the tweets immediately after retweeting of news posts, we propose a method to discriminate whether or not the tweets are related to the disaster based on keywords.