著者

田村 貴紀

出版者

社会情報学会

雑誌

社会情報学会(SSI)学会大会研究発表論文集

巻号頁・発行日

vol.2013, pp.23-28, 2013

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This paper analyses Twitter messages of a leading anti-nuke activist, Misao Redwolf, from a perspective of narrative approach. Based on text mining analysis of the messages, the author found her personal narrative was connected to anti-nuke protest as public issue. This scheme is sharable by the protest pariticpants who also have reasons to participate in the action in their personal experiences and self-narratives.