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Detecting product review spammers using rating behaviors

Ee-Peng Lim, Viet-An Nguyen, Nitin Jindal, Bing Liu, Hady Wirawan Lauw
2010 Proceedings of the 19th ACM international conference on Information and knowledge management - CIKM '10  
This paper aims to detect users generating spam reviews or review spammers. We identify several characteristic behaviors of review spammers and model these behaviors so as to detect the spammers.  ...  We finally show that the detected spammers have more significant impact on ratings compared with the unhelpful reviewers.  ...  To the best of our knowledge, this paper represents the first attempt to solve the review spammer detection problem. It uses rating behavior features to detect review spammers.  ... 
doi:10.1145/1871437.1871557 dblp:conf/cikm/LimNJLL10 fatcat:iwnl3molx5gyzjksvdrjp2bhtm

Detecting Spam Review through Spammer's Behavior Analysis

Naveed HUSSAIN, Hamid Turab MIRZA, Ibrar HUSSAIN
2019 Advances in Distributed Computing and Artificial Intelligence Journal  
Online Product Reviews; Spam Reviews; Spam Review Detection; Opinion Spam; Customer Reviews; Spammer Behavioral features Online reviews about the purchase of a product or services provided have become  ...  In this work, researchers have studied six different spammer behavioral features and analyzed the proposed spam review detection method using weight method.  ...  Spam Review Detection using Weight Method Based on six different spammer behavioral features suggested in Section 4, the weight method is used to find the spam reviews.  ... 
doi:10.14201/adcaij2019826171 fatcat:cekcgvt3lfdxhlfufwgcksge4q

Identification of Opinion Spammers using Reviewer Reputation and Clustering Analysis

Minjuan Zhong, Liang Tan, Xilong Qu
2019 International Journal of Computers Communications & Control  
In this paper, an effective method of identifying opinion spammers is proposed. Firstly, suspected spammers are detected by means of unsupervised learning based on reviewer's reputation.  ...  On basis of all suspected spammers, k-center clustering algorithm is performed to further spot the spammers based on the observation of burst of review release time.  ...  used binomial regression to identify those reviewers with an abnormal rating for products.  ... 
doi:10.15837/ijccc.2019.6.3704 fatcat:a77kj6s4y5cgdl56xzublgcbei

Spam Review Detection using the Linguistic and Spammer Behavioral Methods

Naveed Hussain, Hamid Turab Mirza, Ibrar Hussain, Faiza Iqbal, Imran Memon
2020 IEEE Access  
INDEX TERMS Online product reviews, spam reviews, spam review detection, linguistic features, spammer behavioral features.  ...  In this work, two different spam review detection methods have been proposed: (1) Spam Review Detection using Behavioral Method (SRD-BM) utilizes thirteen different spammer's behavioral features to calculate  ...  SPAM REVIEW DETECTION (SRD) USING THE SPAMMER BEHAVIORAL METHOD Spam review detection using the spammer behavioral method finds the unusual spammer patterns and relationships between different spammers  ... 
doi:10.1109/access.2020.2979226 fatcat:4o3zwel3qfgubblejwcjndw7sy

A Robust Opinion Spam Detection Method Against Malicious Attackers in Social Media [article]

Amir Jalaly Bidgolya, Zoleikha Rahmaniana
2020 arXiv   pre-print
The method respectively estimates honesty, trust and reliability values of reviews, reviewers, and products considering possible deception scenarios.  ...  It is a way a smart spammer can deceive the system in a manner in which he can continue generating spams without the fear of being detected and blocked by the system.  ...  Review spam detection using machine learning. [22] Wang, G., Xie, S., Liu, B., and Philip, S. Y. (2011). Review graph based online store review spammer detection.  ... 
arXiv:2008.08650v1 fatcat:thceztcodffilpxkkrmowlyhoa

Spammer group detection and diversification of customers' reviews

Naveed Hussain, Hamid Turab Mirza, Abid Ali, Faiza Iqbal, Ibrar Hussain, Mohammad Kaleem
2021 PeerJ Computer Science  
This work presents the Spammer Group Detection (SGD) method which identifies suspicious spammer groups based on the similarity of all reviewer's activities considering their review time and review ratings  ...  After removing these identified spammer groups and spam reviews, the resulting non-spam reviews are displayed using diversification technique.  ...  The Yelp dataset is available at Kaggle: Naveed Hussain, "Yelp Review with Sentiments and Features." Kaggle, 2021, DOI 10.34740/KAGGLE/DSV/1898501.  ... 
doi:10.7717/peerj-cs.472 pmid:33954246 pmcid:PMC8049124 fatcat:i6g25xilofhj7mmcdgz27bditi

Detection of Fake Users Account Based on Review

Mahendra Nath Dwivedi
2018 International Journal for Research in Applied Science and Engineering Technology  
An incredible source of gathering the reviews on particular product is different web based shopping destinations where individuals share their reviews on products and their shopping knowledge.  ...  Our structure can recognize various spammers by knowing just little arrangement of spammer sets.  ...  This recommends one should focus on detecting spammers in view of their spamming behaviors, rather than detecting spam reviews.  ... 
doi:10.22214/ijraset.2018.6005 fatcat:4j6q42g7fbf7zahuhgv5kyilou

Spotting opinion spammers using behavioral footprints

Arjun Mukherjee, Abhinav Kumar, Bing Liu, Junhui Wang, Meichun Hsu, Malu Castellanos, Riddhiman Ghosh
2013 Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '13  
Opinionated social media such as product reviews are now widely used by individuals and organizations for their decision making.  ...  ., writing fake reviews) to promote or to demote some target products. In recent years, fake review detection has attracted significant attention from both the business and research communities.  ...  behavior spam detection of ASM.  ... 
doi:10.1145/2487575.2487580 dblp:conf/kdd/MukherjeeKLWHCG13 fatcat:z2s5jwkexff3vjapt6j26lhxly

Bimodal Distribution and Co-Bursting in Review Spam Detection

Huayi Li, Geli Fei, Shuai Wang, Bing Liu, Weixiang Shao, Arjun Mukherjee, Jidong Shao
2017 Proceedings of the 26th International Conference on World Wide Web - WWW '17  
Existing approaches to detecting spam reviews and reviewers employed review contents, reviewer behaviors, star rating patterns, and reviewer-product networks for detection.  ...  That is, their posting rates are bimodal. Multiple spammers also tend to collectively and actively post reviews to the same set of products within a short time frame, which we call co-bursting.  ...  Reviewer clustering results indicate that our network is more effective in detecting spammer groups than the review-product network used in the existing work [31, 41, 42, 43] .  ... 
doi:10.1145/3038912.3052582 dblp:conf/www/LiFW0SMS17 fatcat:z24hrmzgxfgljgshnhcrinuv3u

Securing Behavior-based Opinion Spam Detection [article]

Shuaijun Ge and Guixiang Ma and Sihong Xie and Philip S. Yu
2018 arXiv   pre-print
Reviews spams are prevalent in e-commerce to manipulate product ranking and customers decisions maliciously.  ...  Experiments confirm that DETER is more accurate in detecting both suspicious time window and individual spamming reviews.  ...  Effectiveness of DETER for spamming review detection We adopt the state-of-the-art spam detector, SpEagle [38] , which combine the features of the reviews, reviewers and products with the reviewer-product  ... 
arXiv:1811.03739v1 fatcat:ge5rhnlhk5dx3avypchzijav4u

Modeling Review Spam Using Temporal Patterns and Co-bursting Behaviors [article]

Huayi Li, Geli Fei, Shuai Wang, Bing Liu, Weixiang Shao, Arjun Mukherjee, Jidong Shao
2016 arXiv   pre-print
The co-bursting network enables us to produce more accurate spammer groups than the current state-of-the-art reviewer-product (co-reviewing) network.  ...  Experimental results show that our model significantly outperforms supervised learning using linguistic and behavioral features in identifying spammers.  ...  No. of reviews/day Figure 6 : Examples of co-bursting behaviors DETECTING SPAMMER GROUPS In this section, we discuss how hidden states estimated from our model can be used to detect spammer groups.  ... 
arXiv:1611.06625v1 fatcat:adxi346rnfd2bj4ps3v2suyiwa

Fake Research Detection using Weighting Algorithm in Netspam Framework

2019 International journal of recent technology and engineering  
This system will classify spam and non-spam reviews using NetSpam algorithm and naïve bayes classifier for sentiment analysis which will provide positive and negative value of the product review.  ...  To avoid this spammers there have been many research but very have work on user and review related feature.  ...  To detect review spammers in review bursts. It detects spammers automatically. Disadvantage is: a generic framework is not used for detect spammers. H.  ... 
doi:10.35940/ijrte.b1136.0982s1119 fatcat:4u7rt22vebhkdb2hav2unslira

A proposed system for opinion mining using machine learning, NLP and classifiers

Poonam Tanwar, Priyanka Rai
2020 IAES International Journal of Artificial Intelligence (IJ-AI)  
The present studies and research are used to analyse and categorize the opinion spamming into three different detection targets opinion spam, spammers, and to find the collusive opinion spammer groups  ...  In today's life consumer reviews are the part of everyday life. User read the reviews before purchase, or stores it for finding the best product through comparison of the product review.  ...  Product review contains the features about the product along with the product star ratings. Detecting spammer is very challenging task.  ... 
doi:10.11591/ijai.v9.i4.pp726-733 fatcat:ww6tbtrfefabjkqaybdcswu7oy

Evidential Group Spammers Detection [chapter]

Malika Ben Khalifa, Zied Elouedi, Eric Lefèvre
2020 Communications in Computer and Information Science  
To deal with this issue, we propose a novel method aim to detect group spammers while relying on various group spamming behavioral indicators.  ...  The reviewers spammers generally work collaboratively under group of spammers to take control of reviews given to some products, which seriously damage the review system.  ...  The same products typically are also reviewed by other genuine reviewers. Group spammers generally deviate in their ratings by a significant amount from the mean review ratings score.  ... 
doi:10.1007/978-3-030-50143-3_26 fatcat:vfbmrtpmafhmxk2zg6tgna7nku

Spam Detector: A Solution for Finding Bogus Opinions and Spammer Classification in E-Commerce

2020 International journal of recent technology and engineering  
Due to this it is possible that anyone can post a review for a particular product which give a chance for spammers to post junk reviews related to particular product and facilities.  ...  In this paper we propose a system called Spam Detector to find out spam reviews of particular product. This framework uses spam features which helps to review datasets.  ...  It show how much two reviews given by two different clients are similar with other because spammers generally use existing template to write similar reviews for a product. Fig. 1 .  ... 
doi:10.35940/ijrte.f8356.038620 fatcat:qgcycyiuore4djc6e2hmtpfdc4
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