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Detection of review spam: A survey

Heydari, Atefeh and Tavakoli, Mohammad Ali and Salim, Naomie and Heydari, Zahra (2015) Detection of review spam: A survey. Expert Systems With Applications, 42 (7). pp. 3634-3642. ISSN 0957-4174

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Official URL: htp://dx.doi.org/10.1016/j.eswa.2014.12.029

Abstract

In recent years, online reviews have become the most important resource of customers' opinions. These reviews are used increasingly by individuals and organizations to make purchase and business decisions. Unfortunately, driven by the desire for profit or publicity, fraudsters have produced deceptive (spam) reviews. The fraudsters' activities mislead potential customers and organizations reshaping their businesses and prevent opinion-mining techniques from reaching accurate conclusions. The present research focuses on systematically analyzing and categorizing models that detect review spam. Next, the study proceeds to assess them in terms of accuracy and results. We find that studies can be categorized into three groups that focus on methods to detect spam reviews, individual spammers and group spam. Different detection techniques have different strengths and weaknesses and thus favor different detection contexts.

Item Type:Article
Uncontrolled Keywords:fake reviews, opinion spam, review spam, review spammer detection, spam detection techniques, survey
Subjects:A General Works
ID Code:58258
Deposited By: Haliza Zainal
Deposited On:04 Dec 2016 12:07
Last Modified:12 Apr 2017 08:47

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