Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/120585
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Type: Conference paper
Title: Fake reviews tell no tales? Dissecting click farming in content-generated social networks
Author: Li, N.
Du, S.
Zheng, H.
Xue, M.
Zhu, H.
Citation: China Communications, 2018 / vol.15, iss.4, pp.98-109
Publisher: IEEE
Issue Date: 2018
ISSN: 1673-5447
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.
Description: Selected paper from IEEE/CIC ICCC 2017
Rights: Copyright status unknown
RMID: 0030131453
DOI: 10.1109/CC.2018.8357744
Appears in Collections:Computer Science publications

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