Evaluation of Generality on Flaming using Community Bias
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- TORIUMI Fujio
- The University of Tokyo
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- SAKAKI Takeshi
- Hotto Link Inc.
Bibliographic Information
- Other Title
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- コミュニティの偏りを用いた炎上の一般性評価
- Analysis of Long Term Multi-Flaming
- 再燃焼系炎上における分析
Abstract
<p>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.</p>
Journal
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- Proceedings of the Annual Conference of JSAI
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Proceedings of the Annual Conference of JSAI JSAI2020 (0), 2E4OS1a01-2E4OS1a01, 2020
The Japanese Society for Artificial Intelligence
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Details 詳細情報について
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- CRID
- 1390285300166067712
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- NII Article ID
- 130007856861
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- Text Lang
- ja
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- Data Source
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- JaLC
- CiNii Articles
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- Abstract License Flag
- Disallowed