TY - GEN
T1 - Analysis of Tweets Hashtagged '# Rescue' in the 2017 North Kyushu Heavy Rain Disaster in Japan
AU - Sato, Shosuke
N1 - Funding Information:
ACKNOWLEDGMENT This study was funded by the Nankai Trough Wide Area Earthquake Disaster Prevention Research Project commissioned by the Ministry of Education, Culture, Sports, Science and Technology. We received support in organizing data from Ms.Satsuki Goto, Ms. Kasumi Morizane and Maki
Publisher Copyright:
© 2018 IEEE.
PY - 2019/2/5
Y1 - 2019/2/5
N2 - 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.
AB - 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.
KW - disaster information
KW - disaster response
KW - heavy rain disaster
KW - social network service
KW - Twitter
UR - http://www.scopus.com/inward/record.url?scp=85062828332&partnerID=8YFLogxK
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U2 - 10.1109/ICT-DM.2018.8636370
DO - 10.1109/ICT-DM.2018.8636370
M3 - Conference contribution
AN - SCOPUS:85062828332
T3 - 2018 5th International Conference on Information and Communication Technologies for Disaster Management, ICT-DM 2018
BT - 2018 5th International Conference on Information and Communication Technologies for Disaster Management, ICT-DM 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th International Conference on Information and Communication Technologies for Disaster Management, ICT-DM 2018
Y2 - 4 December 2018 through 7 December 2018
ER -