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 en_US
收錄於
會議性質 國際
校內研討會地點 無
研討會時間 20160728~20160730
通訊作者 Chih-Chien Wang
國別 GBR
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)
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/108748 )