教師資料查詢 | 類別: 會議論文 | 教師: 戴敏育 Min-Yuh Day (瀏覽個人網頁)

標題:A Real Case Analytics on Social Network of Opinion Spammers
學年104
學期2
發表日期2016/07/28
作品名稱A Real Case Analytics on Social Network of Opinion Spammers
作品名稱(其他語言)
著者Chih-Chien Wang; Min-Yuh Day; Yu-Ruei Lin
作品所屬單位
出版者
會議名稱2016 IEEE 17th International Conference on Information Reuse and Integration (IEEE IRI 2016)
會議地點Pittsburgh, Pennsylvania, USA
摘要People share their consumption experience and opinions to product as online product reviews or word-of-mouths. Consumers consult the product reviews posted by other consumers before making purchase decision. As a result, the influence of online product reviews increase dramatically. Since the influence of product reviews increase, firms may commit to improve product quality to earn positive opinions. Nevertheless, some firms choose the shortcut by hiring people to write positive fake reviews to promote themselves, as well as write negative fake reviews to demote product of their competitors. The fake product reviews may influent or even manipulate the majority of public opinion. However, fake reviewers always hide the real identities of themselves. Audiences have no idea about who are spammers. This paper analyzes a real case of fake reviews in Taiwan by social network techniques. To our knowledge, few previous studies had use social network techniques to detect fake reviewer. Thus, we propose a novel method of using social network analysis indices as features to detect spammer. The relationship of authors of product reviews posts and their replies might be used for spammer group detection.
關鍵字Fake review;Spammer detection;Social network analysis
語言英文(美國)
收錄於
會議性質國際
校內研討會地點
研討會時間20160728~20160730
通訊作者Chih-Chien Wang
國別英國
公開徵稿
出版型式
出處Proceedings of the 2016 IEEE 17th International Conference on Information Reuse and Integration (IEEE IRI 2016)
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