Detection of online review spam: a literature review

Raga S. H. Istanto, W. Mahmudy, F. A. Bachtiar
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引用次数: 5

Abstract

Online reviews have become an important resource for customers. It has become a habit for customers to first read a review before deciding to make a purchase. But it can be used by fraudsters to make review spam. This activity can result in the wrong customer purchase decision. Automatic opinion mining methods can also provide inaccurate conclusions due to this activity. This paper aims to provide a literature review on the online review spam detection topic. We identify papers relevant to related topics since 2015, understanding each paper to extract findings, similarities, and research gaps. We find that studies on this topic can be categorized into three focus groups. Focus on review spam detection methods, studies on individuals who write review spam, and studies that examine the spammer groups. Each focus of research has its strengths and weaknesses method which provide benefits in the field of review spam detection.
在线评论垃圾邮件的检测:一篇文献综述
在线评论已经成为客户的重要资源。顾客在决定购买之前先阅读评论已经成为一种习惯。但它可以被骗子用来制作垃圾评论。此活动可能导致错误的客户购买决策。由于这种活动,自动意见挖掘方法也可能提供不准确的结论。本文旨在对在线评论垃圾邮件检测这一主题进行文献综述。我们选取自2015年以来与相关主题相关的论文,了解每篇论文以提取发现、相似之处和研究差距。我们发现关于这一主题的研究可以分为三个焦点组。重点关注评论垃圾邮件检测方法,对撰写评论垃圾邮件的个人的研究,以及对垃圾邮件发送者群体的研究。每个研究重点都有其优缺点,为评论垃圾邮件检测领域提供了有益的研究方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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