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

Abstract

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.

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