How Web-Media impacts on twitter in disaster situation ---Analysis of Actual Tweets during Typhoon Hagibis Attacking Japan---

The goal of this research is to prevent unnecessary information diffusion at the time of disaster that can be a cause of confusion among victims. To meet this goal, this paper focused on the possibility of information diffusion being influenced by web media. Following such a situation, this paper examined tweets at the time of Typhoon Hagibis struck Japan in 2019. From such tweets, we extract specific tweets which were about 􏰈􏰂􏰁􏰱􏰱 􏰒􏰲􏰏􏰊􏰇 􏰳􏰴 􏰁􏰲􏰵􏰱􏰁 􏰶􏰷􏰁􏰸􏰄􏰑􏰹􏰺 􏰶􏰐􏰑􏰻􏰑􏰄􏰲􏰹􏰺 􏰑􏰏􏰊 􏰶􏰼􏰂􏰲􏰒􏰸􏰄􏰑􏰹 􏰁􏰲􏰵􏰱􏰁 􏰽􏰂􏰲􏰉􏰂 􏰂􏰑􏰊 􏰊􏰑􏰄􏰑􏰻􏰱􏰊 because of the disaster. Those tweets were divided in units of 30 minutes throughout all tweets. To make how web-media impacts on twitter clear, we investigated the ratio and temporal changes of tweets containing URLs that transit to news articles sent by web media. Additionally, we investigate word frequency. Our examination revealed that total numbers of tweets and tweets containing such URLs transfer to web-news article were positively correlated. Moreover, as a result of referring the source of those URLs, specific Web-Media or news article tended to post.