Exploring Review Spammers by Review Similarity: A Case of Fake Review in Taiwan
學年 105
學期 2
發表日期 2017-07-31
作品名稱 Exploring Review Spammers by Review Similarity: A Case of Fake Review in Taiwan
作品名稱（其他語言）
著者 Min-Yuh Day, Chih-Chien Wang, Chien-Chang Chen, Shao-Chieh Yang
作品所屬單位
出版者
會議名稱 The Third International Conference on Electronics and Software Science (ICESS 2017)
會議地點 Takamatsu, Japan
摘要 Understanding the phenomenon of spam reviews in social media is now an emerging and important issue since some enterprises may hire spammers to post fake reviews to promote their product or demote product of their competitors. The hired spammers are paid based on the fake reviews. Thus, these spammers may rewrite previous reviews as new review to earn the money. Thus, review similarity maybe a cue to detect fake reviews. Although literature had investigated the spam reviews, the review similarity of real review spammers is relatively unexplored. The objective of this paper is to explore the review spammers with a real case of fake reviews in Taiwan by investigating the cosine similarity and content length of reviews. We have proposed a text mining approach for a better understanding the phenomenon of fake reviews. The empirical results suggested that when comparing with normal reviews, the spam reviews were longer and with higher content similarity.
關鍵字 Spam, Fake reviews, Text mining, Cosine similarity
語言 zh_TW
收錄於
會議性質 國內
校內研討會地點 無
研討會時間 20170731~20170802
通訊作者
國別 TWN
公開徵稿
出版型式
出處 The Third International Conference on Electronics and Software Science (ICESS 2017)
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/112054 )