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Identifying Spam in Reviews

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  • First Online:
Encyclopedia of Social Network Analysis and Mining

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Synonyms

Features; Online shopping; Opinion spam; Review spammer; Social networking; Spam detection; Spam review; User-generated content; Water army

Glossary

Features:

A set of attributes indicating the spamming behavior

Review Spammer:

A malicious user who write fraudulent reviews

Spam Detection:

Identify spam reviews, users, or groups

Spam Review:

A deceptive review to manipulate the opinon about the product

Water Army:

A group of ghostwriters paid to post fake reviews

Definition

The fake reviews target at promoting or demoting the sale of products in e-commerce sites, and attracting attention or triggering curiosity in social networking sites, by creating and spreading purposeful comments. Hence, the goal of spam detection is to identify spam objects, including review/opinion spam, spam users, and spammer groups, from reviews.

Introduction

Online reviews are actually a kind of user-generated content (UGC) and hence provide a voice for customers to praise or criticize products,...

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Acknowledgment

This work was partially supported by the National Key Research and Development Program of China (2017YFD0401001), the National Natural Science Foundation of China (71571093, 91646204, 71372188), National Center for International Joint Research on E-Business Information Processing (2013B01035), Industry Projects in Jiangsu S&T Pillar Program (BE2014141), and Key/Surface Projects of Natural Science Research in Jiangsu Provincial Colleges and Universities (14KJA520001, 15KJB520012 and 15KJB520011).

Author information

Authors and Affiliations

  1. Jiangsu Provincial Key Laboratory of E-Business, Nanjing University of Finance and Economics, Nanjing, China

    Zhiang Wu, Lu Zhang, Youquan Wang & Jie Cao

Authors
  1. Zhiang Wu
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  2. Lu Zhang
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  3. Youquan Wang
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  4. Jie Cao
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Corresponding author

Correspondence to Zhiang Wu .

Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Calgary, Calgary, AB, Canada

    Reda Alhajj

  2. Department of Computer Science, University of Calgary, Calgary, AB, Canada

    Jon Rokne

Section Editor information

  1. University of Technology Sydney, Sydney, Australia

    Guandong Xu

  2. Tsinghua University, 100084, Beijing, China

    Peng Cui

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Wu, Z., Zhang, L., Wang, Y., Cao, J. (2018). Identifying Spam in Reviews. In: Alhajj, R., Rokne, J. (eds) Encyclopedia of Social Network Analysis and Mining. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-7131-2_110200

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