Analysis of Tweets Hashtagged '# Rescue' in the 2017 North Kyushu Heavy Rain Disaster in Japan

    研究成果: Conference contribution

    6 被引用数 (Scopus)

    抄録

    This paper reports on content analysis of tweet data tagged with '# Rescue' in the 2017 North Kyushu Heavy Rain disaster. The results are as follows. 1) There were no more than 7.6 % tweets which were described place name, number of people and their situation etc. of 1,058 tweets tagged with '# Rescue'. 2) Almost of the tagged tweets consisted of news articles and messages about introduction how to the '# Rescue' and encouragement to survivors sent from news media companies and Twitter users out of heavy rainy areas. In conclusion, the literacy of writing tweet text by affected people is improving in disaster occurring situation. On the other hand, Twitter users outside of affected areas should decline sending tweets.

    本文言語English
    ホスト出版物のタイトル2018 5th International Conference on Information and Communication Technologies for Disaster Management, ICT-DM 2018
    出版社Institute of Electrical and Electronics Engineers Inc.
    ISBN(電子版)9781538666388
    DOI
    出版ステータスPublished - 2019 2月 5
    イベント5th International Conference on Information and Communication Technologies for Disaster Management, ICT-DM 2018 - Sendai, Japan
    継続期間: 2018 12月 42018 12月 7

    出版物シリーズ

    名前2018 5th International Conference on Information and Communication Technologies for Disaster Management, ICT-DM 2018

    Conference

    Conference5th International Conference on Information and Communication Technologies for Disaster Management, ICT-DM 2018
    国/地域Japan
    CitySendai
    Period18/12/418/12/7

    ASJC Scopus subject areas

    • コンピュータ ネットワークおよび通信
    • 地理、計画および開発
    • 情報システムおよび情報管理
    • 安全研究

    フィンガープリント

    「Analysis of Tweets Hashtagged '# Rescue' in the 2017 North Kyushu Heavy Rain Disaster in Japan」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

    引用スタイル