Fake review detection on online E-commerce platforms: a systematic literature review

H Paul, A Nikolaev - Data Mining and Knowledge Discovery, 2021 - Springer
The increasing popularity of online review systems motivates malevolent intent in competing
sellers and service providers to manipulate consumers by fabricating product/service …

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 …

Bimodal distribution and co-bursting in review spam detection

H Li, G Fei, S Wang, B Liu, W Shao… - Proceedings of the 26th …, 2017 - dl.acm.org
Online reviews play a crucial role in hel** consumers evaluate and compare products and
services. This critical importance of reviews also incentivizes fraudsters (or spammers) to …

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 …

Group-based fraud detection network on e-commerce platforms

J Yu, H Wang, X Wang, Z Li, L Qin, W Zhang… - Proceedings of the 29th …, 2023 - dl.acm.org
Along with the rapid technological and commercial innovation on the e-commerce platforms,
there are an increasing number of frauds that bring great harm to these platforms. Many …

Detecting anomalous online reviewers: An unsupervised approach using mixture models

N Kumar, D Venugopal, L Qiu… - Journal of Management …, 2019 - Taylor & Francis
Online reviews play a significant role in influencing decisions made by users in day-to-day
life. The presence of reviewers who deliberately post fake reviews for financial or other …

A tangled web: Should online review portals display fraudulent reviews?

UM Ananthakrishnan, B Li… - Information Systems …, 2020 - pubsonline.informs.org
The growing interest in online product reviews for legitimate promotion has been
accompanied by an increase in fraudulent reviews. However, beyond algorithms for initial …

Opinion fraud detection via neural autoencoder decision forest

M Dong, L Yao, X Wang, B Benatallah, C Huang… - Pattern Recognition …, 2020 - Elsevier
Online reviews play an important role in influencing buyers' daily purchase decisions.
However, fake and meaningless reviews, which cannot reflect users' genuine purchase …

A burst-based unsupervised method for detecting review spammer groups

S Ji, Q Zhang, J Li, DKW Chiu, S Xu, L Yi, M Gong - Information Sciences, 2020 - Elsevier
With the development of e-commerce, online shop** has become a part of people's life.
As customers often refer to online product reviews for shop**, sellers often collude with …

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 …