Tracking topics on revision graphs of Wikipedia edit history

• Item type: SIG Technical Reports(1)
• 公開日: 2013-11-19
• タイトル: Tracking topics on revision graphs of Wikipedia edit history
• タイトル / 言語: en
• タイトル: Tracking topics on revision graphs of Wikipedia edit history
• 言語: eng
• キーワード / 主題Scheme: Other
• キーワード / 主題: ソーシャルメディア
• 資源タイプ / 資源タイプ識別子: http://purl.org/coar/resource_type/c_18gh
• 資源タイプ: technical report
• 著者所属: Graduate School of Information, Production and Systems, Waseda University
• 著者所属: Graduate School of Information, Production and Systems, Waseda University
• 著者所属: Graduate School of Information, Production and Systems, Waseda University
• 著者所属(英): en
• 著者所属(英): Graduate School of Information, Production and Systems, Waseda University
• 著者所属(英): en
• 著者所属(英): Graduate School of Information, Production and Systems, Waseda University
• 著者所属(英): en
• 著者所属(英): Graduate School of Information, Production and Systems, Waseda University
• 著者名: Lin, Gu; Basilisa, Mvungi; Mizuho, Iwaihara
• 著者名(英): Lin, Gu; Basilisa, Mvungi; Mizuho, Iwaihara
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: Private information is sometimes unintentionally disclosed to the public in Social Network Services (SNSs), leading to great concern on users' privacy settings. In order to guide SNS users for their appropriate privacy settings, measures for evaluating privacy attitude of users have been proposed. However, the existing measure of privacy score, which utilizes the item response theory (IRT), only considers whether each privacy attribute is disclosed or not and does not consider the activity level of the attribute, which is a quantitative indicator of how much amount the user published on the attribute. In this paper, we first analyze the relationships between the original privacy score and user activity levels. After confirming the relationships between them, we propose activity privacy score using user activity levels. With the activity privacy score, we can group SNS users by their behavior and improve the original privacy score model.
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: Private information is sometimes unintentionally disclosed to the public in Social Network Services (SNSs), leading to great concern on users' privacy settings. In order to guide SNS users for their appropriate privacy settings, measures for evaluating privacy attitude of users have been proposed. However, the existing measure of privacy score, which utilizes the item response theory (IRT), only considers whether each privacy attribute is disclosed or not and does not consider the activity level of the attribute, which is a quantitative indicator of how much amount the user published on the attribute. In this paper, we first analyze the relationships between the original privacy score and user activity levels. After confirming the relationships between them, we propose activity privacy score using user activity levels. With the activity privacy score, we can group SNS users by their behavior and improve the original privacy score model.
• 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: AN10112482
• 書誌情報: 研究報告データベースシステム（DBS）; 巻 2013-DBS-158, 号 4, p. 1-8, 発行日 2013-11-19
• Notice: SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc.
• 出版者 / 言語: ja
• 出版者: 情報処理学会