[1D2-OS-3a] ニュースメディアのデータサイエンス(1/3)

[1D2-OS-3a-02] Political divide in Twitter: a case of the House of Councilors election in 2019

〇Tsubasa Shintou¹, Yuuki Ogawa¹, Hiromitsu Hattori¹, Fumiaki Taka², Fujio Toriumi³, Mitsuo Yoshida⁴ (1. Ritsumeikan University, 2. Kanagawa University, 3. The University of Tokyo, 4. Toyohashi University of Technology)

Keywords:Twitter, Election, fragmentation, community

In recent years, with the spread of the Internet, the media has become more diverse, and the number of information sources that individuals can choose has increased explosively. Among them, selective exposure that selects only the information that one likes is treated as a problem. If many people make selective contact, correct information sharing will not be possible, and there is a risk that the division of communities and political ideas will further progress. In this study, we analyzed the selective exposure by focusing on the questionnaire survey at the time of the 2019 election and the Twitter usage data of the subjects. Specifically, we found out the tendency of information contact and the community from Twitter followers and retweet information, and analyzed it based on the answers about political attitudes and consciousness in the questionnaire survey. As a result, we were able to extract a characteristic community from the bias of information contact. It was also found that there are differences in political attitudes among the communities. We were also able to extract the commonalities between selective exposure tendencies and political indifference, and the communities that apply to them.