Controversial News Article Detection Method from Tweets
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- FUJIKANE Yoshiki
- Wakayama University
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- KAZAMA Kazuhiro
- Wakayama University
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- YOSHIDA Mitsuo
- Toyohashi University of Technology
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- HIJIKATA Yoshinori
- Kwansei Gakuin University
Bibliographic Information
- Other Title
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- ツイートからの論争を招きやすいニュース記事の発見手法
Abstract
<p>In this paper, we propose a method to automatically find controversial news articles in order to analyze the bias of opinion in mass media or social media. First, we define the controversy measure of a news article using the number of users who mentioned it and the number of days that it were mentioned, assuming that news that causes controversy and debate in social media is mentioned by a limited but certain number of users for a relatively long period. In addition, we analyze the polarization and cluster structure of media graphs and user graphs of specified news topics and the context, and verify whether we can find controversial news articles.</p>
Journal
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- Proceedings of the Annual Conference of JSAI
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Proceedings of the Annual Conference of JSAI JSAI2021 (0), 1D3OS3b02-1D3OS3b02, 2021
The Japanese Society for Artificial Intelligence
- Tweet
Details 詳細情報について
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- CRID
- 1390288370500582656
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- NII Article ID
- 130008051497
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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