Estimating Neutrality of News Articles and Reactions on Twitter

Taketoshi Ushiama, Tenyu Kawaguchi

    研究成果: 書籍/レポート タイプへの寄稿会議への寄与

    抄録

    In recent years, many people have started to browse news articles on social networking sites and to use the reactions to news articles as a reference for understanding the news. However, owing to the bias of the news articles posted on social network services (SNSs) and the reactions to them, user misunderstanding of news has become a social problem. To address this problem, based on the idea that the neutrality of news articles and reactions can be estimated and presented to users, this paper proposes a metric for estimating the neutrality of news called "popularity value."Popularity value is calculated based on the strength of the daily interest in the news topic among users who responded to the news article on Twitter and the distribution of the responding users based on the strength of their daily interest. Through evaluation experiments, we show that the proposed popularity value is effective in predicting the neutrality of news articles posted on SNSs and reactions to them.

    本文言語英語
    ホスト出版物のタイトルProceedings of the 2022 16th International Conference on Ubiquitous Information Management and Communication, IMCOM 2022
    編集者Sukhan Lee, Hyunseung Choo, Roslan Ismail
    出版社Institute of Electrical and Electronics Engineers Inc.
    ISBN(電子版)9781665426787
    DOI
    出版ステータス出版済み - 2022
    イベント16th International Conference on Ubiquitous Information Management and Communication, IMCOM 2022 - Seoul, 韓国
    継続期間: 1月 3 20221月 5 2022

    出版物シリーズ

    名前Proceedings of the 2022 16th International Conference on Ubiquitous Information Management and Communication, IMCOM 2022

    会議

    会議16th International Conference on Ubiquitous Information Management and Communication, IMCOM 2022
    国/地域韓国
    CitySeoul
    Period1/3/221/5/22

    !!!All Science Journal Classification (ASJC) codes

    • コンピュータ ネットワークおよび通信
    • 情報システム

    フィンガープリント

    「Estimating Neutrality of News Articles and Reactions on Twitter」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

    引用スタイル