Baseless-Rumor Alert Bot to Promote Reliability of Information

• Item type: Journal(1)
• 公開日: 2022-01-15
• タイトル: Baseless-Rumor Alert Bot to Promote Reliability of Information
• タイトル / 言語: en
• タイトル: Baseless-Rumor Alert Bot to Promote Reliability of Information
• 言語: eng
• キーワード / 主題Scheme: Other
• キーワード / 主題: [特集:社会課題を解決するコラボレーション技術とネットワークサービス] rumor, reliability of information, confirmation support, anti-diffusion, information literacy
• 資源タイプ / 資源タイプ識別子: http://purl.org/coar/resource_type/c_6501
• 資源タイプ: journal article
• 著者所属: Graduate School of Systems Engineering, Wakayama University
• 著者所属: Graduate School of Medicine and Faculty of Medicine, The University of Tokyo
• 著者所属: Faculty of Systems Engineering, Wakayama University
• 著者所属(英): en
• 著者所属(英): Graduate School of Systems Engineering, Wakayama University
• 著者所属(英): en
• 著者所属(英): Graduate School of Medicine and Faculty of Medicine, The University of Tokyo
• 著者所属(英): en
• 著者所属(英): Faculty of Systems Engineering, Wakayama University
• 著者名: Ryota, Nishimura; Mai, Miyabe Hirabayashi; Takashi, Yoshino
• 著者名(英): Ryota, Nishimura; Mai, Miyabe Hirabayashi; Takashi, Yoshino
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: The dissemination of information by individuals, which has recently gained widespread attention, significantly affects multitudes of people regardless of the accuracy of the information. There is a vast amount of information available, making it difficult to identify baseless rumors, when the information is unverified. This study presents a bot called “Chillmo,” which has been developed to alert users of such rumors. The proposed system aims to raise users' awareness of the reliability of information by actively alerting the users regarding the rumors receiving attention and providing the accurate information about such rumors through quizzes. Based on the experimental results, it was confirmed that Chillmo can make the users skeptical about rumors, promote the verification of authenticity, and raise their interest in the reliability of the information. In the future, we intend to conduct experiments with a larger number of people using the system to investigate trends by age and changes in the system usage over time.; ------------------------------; This is a preprint of an article intended for publication Journal of; Information Processing(JIP). This preprint should not be cited. This; article should be cited as: Journal of Information Processing Vol.30(2022) (online); DOI http://dx.doi.org/10.2197/ipsjjip.30.2; ------------------------------
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: The dissemination of information by individuals, which has recently gained widespread attention, significantly affects multitudes of people regardless of the accuracy of the information. There is a vast amount of information available, making it difficult to identify baseless rumors, when the information is unverified. This study presents a bot called “Chillmo,” which has been developed to alert users of such rumors. The proposed system aims to raise users' awareness of the reliability of information by actively alerting the users regarding the rumors receiving attention and providing the accurate information about such rumors through quizzes. Based on the experimental results, it was confirmed that Chillmo can make the users skeptical about rumors, promote the verification of authenticity, and raise their interest in the reliability of the information. In the future, we intend to conduct experiments with a larger number of people using the system to investigate trends by age and changes in the system usage over time.; ------------------------------; This is a preprint of an article intended for publication Journal of; Information Processing(JIP). This preprint should not be cited. This; article should be cited as: Journal of Information Processing Vol.30(2022) (online); DOI http://dx.doi.org/10.2197/ipsjjip.30.2; ------------------------------
• 書誌レコードID / 収録物識別子タイプ: NCID
• 書誌レコードID / 収録物識別子: AN00116647
• 書誌情報: 情報処理学会論文誌; 巻 63, 号 1, 発行日 2022-01-15
• ISSN / 収録物識別子タイプ: ISSN
• ISSN / 収録物識別子: 1882-7764