Title
Identifying Groups of Fake Reviewers Using a Semisupervised Approach
Abstract
Online product reviews have become increasingly important in digital consumer markets where they play a crucial role in making purchasing decisions by most consumers. Unfortunately, spammers often take advantage of online reviews by writing fake reviews to promote/demote certain products. Most of the previous studies have focused on detecting fake reviews and individual fake reviewer-ids. However,...
Year
DOI
Venue
2021
10.1109/TCSS.2021.3085406
IEEE Transactions on Computational Social Systems
Keywords
DocType
Volume
Itemsets,Crowdsourcing,Computational modeling,Social networking (online),Sentiment analysis,Predictive models,Markov random fields
Journal
8
Issue
ISSN
Citations 
6
2329-924X
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Punit Rathore1264.53
Jayesh Soni201.01
Nagarajan Prabakar3626.28
M. Palaniswami44107290.84
Paolo Santi500.34