這是業配文嗎？網軍的貼文型態與網絡分析

林昱叡

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這是業配文嗎？網軍的貼文型態與網絡分析

Is This a Fake Review? Analytics on Types of Opinion Posting and Social Network of Spammers

林昱叡 , Masters　　Advisor：汪志堅;戴敏育　　

英文

社會網絡分析；網軍偵測；虛假評論； social network analysis ； spammer detection ； fake reivews ； K-core ； Clique

Abstract │ Reference (24) │ Altmetrics

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In recent years, there has many spammer exist in many review websites, and more importantly, the more researchers focus on these issues. However, the past researches focused on the articles spammer wrote and used these articles as a cue to detect them. They few research the relationships among spammers. Thus, this study try the possibility of using social network techniques to detect spammer.
This study tried three empirical researches to detect spammers. The result of study 1 indicate that there has no possible to detect by humankind, and it must take a lot of time and money to detect them. Thus, we used an automatic method to detect spammers. The result of study 2, we used social network analysis as features to do it. The result of study 3, we attempt to adopt a real case to analyze the social network of spammers by K-core and Clique analysis. Our research results show that the social connection among spammers is stronger than that among non-spammers.
Finally, 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. Moreover, K-cores and cliques can be used as cues to identify spammers.

Reference ( 24 ) 〈TOP〉

Borgatti, S. P., Everett, M.G. and Freeman, L.C. (2002). Ucinet for Windows: Software for Social Network Analysis.
Bowden, G. (2015, 10/19). Amazon 'Fake' Reviews Lawsuit Sees 1,114 People Named As 'John Doe' Defendants. Retrieved 5/2, 2016, from http://www.huffingtonpost.co.uk/2015/10/18/amazon-fake-reviews-lawsuit_n_8325172.html
Chang, C.-C., & Lin, C.-J. (2011). LIBSVM: a library for support vector machines. ACM Transactions on Intelligent Systems and Technology (TIST), 2(3), 27.
Chen, Y.-R., & Chen, H.-H. (2015). Opinion spam detection in web forum: a real case study. Paper presented at the Proceedings of the 24th International Conference on World Wide Web.
DeBarr, D., & Wechsler, H. (2010). Using social network analysis for spam detection Advances in Social Computing (pp. 62-69): Springer.

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