Investigating the Effectiveness of Tweet Data Tagged with “#Rescue” in the 2017 North Kyushu Heavy Rain Disaster: Based on Quantitative Analysis and Field Interview Survey

Abstract

This paper aims to investigate effectiveness and problems for life saving of tweets tagged with “#Rescue” in the 2017 North Kyushu Heavy Rain disaster. The results are as follows. 1) There were 224 tweets to deliver and share to someone of 42,750 tweets tagged “#Rescue”. Only four tweets in the tagged tweets reached to actual emergency calls. 2) Then, a rescue activity case due to just only one tagged tweet confirmed. However, we can not explained a direct causal relationship in this case by a series of fortuitous circumstance. 3) Huge unintended tweets on call for rescue and rejection of expose personal information which are names and location, etc.