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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

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/137209

Title:	A Decision Support System for Detecting Low-quality Articles in Content Farms
Authors:	杜雨儒 Tu, Yu-Ju;Kao,Han Chun
Contributors:	資管系
Date:	2020-10
Issue Date:	2021-09-22 10:19:38 (UTC+8)
Abstract:	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.
Relation:	TANET 2020, National Taiwan University
Data Type:	conference
Appears in Collections:	[資訊管理學系] 會議論文

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