Our main objective was to determine the actual situation of the devastated region in a situation where telecommunication infrastructure had been seriously damaged or washed away. At the same time, extract public opinion so that the government could take measures properly.
Our strategy was to examine the effectiveness of SNS and text analysis to capture the whole context of emergency situation, by so doing, enhance the crisis management system in Japan.
（How they were established and by whom）
Not being able to get real-time information about the devastated Tohoku area since telecommunication infrastructure had been seriously damaged due to the Tsunami, we realized, “a visualization engine”, a tool used in another project still in experimental stage, to get information. Although we knew that we could use this to analyze SNS messages, we had never encountered such an occasion to utilize the function in our project before the earthquake. After the earthquake, however, the situation surrounding SNS changed drastically, in turn, the social fabric of the nation quickly revolved around the use of Twitter as the primary mode of communication. For example, while Twitter was used predominantly to talk about entertainment (about 60% of the topics were entertainment) before the earthquake, it quickly morphed into something entirely different on the day of the disaster, where 72% of the topics were related to the Earthquake, and another 8% were on transportation. In some ways Twitter became the virtual bulletin board for exchanging valuable information, disseminating it to the public, and utilizing the social networks to “spread to the word quickly and effectively. For March 11 alone, 33 million tweets were reported in Japan, almost double the average daily usage. In response to such situation after the Earthquake, we analyzed the data from SNS messages seeking to understand what was needed after the earthquake and analyzed the reliability of the government.