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    政大機構典藏 > 商學院 > 資訊管理學系 > 會議論文 >  Item 140.119/137209


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    題名: A Decision Support System for Detecting Low-quality Articles in Content Farms
    作者: 杜雨儒
    Tu, Yu-Ju;Kao,Han Chun
    貢獻者: 資管系
    日期: 2020-10
    上傳時間: 2021-09-22 10:19:38 (UTC+8)
    摘要: Recently, content farms (websites) have drawn considerable attentions as well as critics, because their main business models are focused on supplying low quality articles, rather than high quality ones, to the Internet. In this study, we show that such low quality articles may include fake articles, advertorial articles, and plagiarized articles. Further, we propose a decision support system based on integrating multiple machine learning approaches to detect low-quality articles from content farms.
    關聯: TANET 2020, National Taiwan University
    資料類型: conference
    顯示於類別:[資訊管理學系] 會議論文

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