Identifying groups of fake reviewers using a semisupervised approach

P Rathore, J Soni, N Prabakar… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Online product reviews have become increasingly important in digital consumer markets
where they play a crucial role in making purchasing decisions by most consumers …

A comprehensive survey of various methods in opinion spam detection

A Mewada, RK Dewang - Multimedia Tools and Applications, 2023 - Springer
With the development of technology, e-marketing and business competition, reviews
significantly affect people's lives. Consumers of e-commerce sites share their experiences …

NetSpam: A network-based spam detection framework for reviews in online social media

S Shehnepoor, M Salehi… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Nowadays, a big part of people rely on available content in social media in their decisions
(eg, reviews and feedback on a topic or product). The possibility that anybody can leave a …

Discovering opinion spammer groups by network footprints

J Ye, L Akoglu - Machine Learning and Knowledge Discovery in …, 2015 - Springer
Online reviews are an important source for consumers to evaluate products/services on the
Internet (eg Amazon, Yelp, etc.). However, more and more fraudulent reviewers write fake …

Graph-based review spammer group detection

Z Wang, S Gu, X Zhao, X Xu - Knowledge and Information Systems, 2018 - Springer
Online product reviews nowadays are increasingly prevalent in E-commerce websites.
People often refer to product reviews to evaluate the quality of a product before purchasing …

Label propagation-based approach for detecting review spammer groups on e-commerce websites

F Zhang, X Hao, J Chao, S Yuan - Knowledge-Based Systems, 2020 - Elsevier
Online product reviews are very important information resources on e-commerce websites
and significantly influence consumers' purchase decisions. Driven by interests, however …

ScoreGAN: A fraud review detector based on regulated GAN with data augmentation

S Shehnepoor, R Togneri, W Liu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The promising performance of Deep Neural Networks (DNNs) in text classification has
attracted researchers to use them for fraud review detection. However, the lack of trusted …

Opinion spam detection in online reviews

A Rastogi, M Mehrotra - Journal of Information & Knowledge …, 2017 - World Scientific
Online reviews are the most valuable sources of information about customer opinions and
are considered the pillars on which the reputation of an organisation is built. From a …

User-based network embedding for opinion spammer detection

Z Wang, W Wei, XL Mao, G Guo, P Zhou, S Jiang - Pattern Recognition, 2022 - Elsevier
Due to the huge commercial interests behind online reviews, a tremendous amount of
spammers manufacture spam reviews for product reputation manipulation. To further …

The art and craft of fraudulent app promotion in google play

M Rahman, N Hernandez, R Recabarren… - Proceedings of the …, 2019 - dl.acm.org
Black Hat App Search Optimization (ASO) in the form of fake reviews and sockpuppet
accounts, is prevalent in peer-opinion sites, eg, app stores, with negative implications on the …