Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/120586
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Type: Conference paper
Title: Fake reviews tell no tales? Dissecting click farming in content-generated social networks
Author: Zheng, H.
Li, N.
Xue, M.
Du, S.
Zhu, H.
Citation: 2017 IEEE/CIC International Conference on Communications in China (ICCC), 2018 / vol.2018-January, pp.1-6
Publisher: IEEE
Issue Date: 2018
ISBN: 9781538645024
Conference Name: IEEE/CIC International Conference on Communications in China (22 Oct 2017 - 24 Oct 2017 : Qingdao, China)
Statement of
Responsibility: 
Neng Li, Suguo Du, Haizhong Zheng, Minhui Xue, Haojin Zhu
Abstract: Recently, there has been a radial shift from traditional online social networks to content-generated social networks (CGSNs). Contemporary CGSNs, such as Dianping and TripAdvisor, are often the targets of click farming in which fake reviews are posted in order to boost or diminish the ratings of listed products and services simply through clicking. Click farming often emanates from a collection of multiple fake or compromised accounts, which we call click farmers. In this paper, we conduct a three-phase methodology to detect click farming. We begin by clustering communities based on newly-defined collusion networks. We then apply the Louvain community detection method to detecting communities. We finally perform a binary classification on detected-communities. Our results of over a year-long study show that (1) the prevalence of click farming is different across CGSNs; (2) most click farmers are lowly-rated; (3) click-farming communities have relatively tight relations between users; (4) more highly-ranked stores have a greater portion of fake reviews.
Rights: ©2017 IEEE
RMID: 0030131452
DOI: 10.1109/ICCChina.2017.8330469
Appears in Collections:Computer Science publications

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