Presentation information

Organized Session

Organized Session » OS-1

[2E4-OS-1a] OS-1 (1)

Wed. Jun 10, 2020 1:50 PM - 3:30 PM Room E (jsai2020online-5)

鳥海 不二夫(東京大学)、笹原 和俊(名古屋大学)、榊 剛史(株式会社ホットリンク)、瀧川 裕貴(東北大学)、吉田 光男(豊橋技術科学大学)、高野 雅典(株式会社サイバーエージェント)

1:50 PM - 2:10 PM

[2E4-OS-1a-01] Evaluation of Generality on Flaming using Community Bias

Analysis of Long Term Multi-Flaming

〇Fujio Toriumi1, Takeshi Sakaki2 (1. The University of Tokyo, 2. Hotto Link Inc.)

Keywords:Computational Social Science, Social Media, Flaming

Various discourses have been posted on social media, in the case of bursting.
However, it is known that flames are caused by only a part of users.
Therefore, it is highly possible that opinions that spread widely at the time of flames often differ from opinions of the general public.
In this study, we used the known community distribution to determine how the opinion diffused during the flames are differ from the general public by using Kullback–Leibler divergence.
We analyzed the proposed indices for a large-scale flame which continues for a long term.

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