Fake online reviews: Literature review, synthesis, and directions for future research

Y Wu, EWT Ngai, P Wu, C Wu - Decision Support Systems, 2020 - Elsevier
Fake online reviews in e-commerce significantly affect online consumers, merchants, and,
as a result, market efficiency. Despite scholarly efforts to examine fake reviews, there still …

Social information disclosure of friends in common in an e‐commerce platform ecosystem: An online experiment

K Rong, D Zhou, X Shi… - Production and …, 2022 - journals.sagepub.com
Real social information is believed to cause a trust–privacy paradox in e‐commerce
platforms, with the degree of information disclosure affecting platform performance. In this …

Detecting spam movie review under coordinated attack with multi-view explicit and implicit relations semantics fusion

Y Cai, H Wang, H Cao, W Wang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Spam reviews have long polluted review systems, undermining their industries. Detecting
spam movie reviews faces some brand-new challenges compared to traditional spam …

Trustguard: Gnn-based robust and explainable trust evaluation with dynamicity support

J Wang, Z Yan, J Lan, E Bertino… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Trust evaluation assesses trust relationships between entities and facilitates decision-
making. Machine Learning (ML) shows great potential for trust evaluation owing to its …

Handling consumer vulnerability in e-commerce product images using machine learning

SK Chatrath, GS Batra, Y Chaba - Heliyon, 2022 - cell.com
Need In recent years, secondhand products have received widespread attention, which has
raised interest in them. The susceptibility issues that consumers encounter while buying …

Fake restaurant review detection using deep neural networks with hybrid feature fusion method

Y Jian, X Chen, H Wang - … Conference on Database Systems for Advanced …, 2022 - Springer
Online review websites all over the world have developed by leaps and bounds in the past
decade, followed by more and more fake reviews that are very difficult to identify. This not …

A randomized reputation system in the presence of unfair ratings

M Rezvani, M Rezvani - ACM Transactions on Management Information …, 2020 - dl.acm.org
With the increasing popularity of online shopping markets, a significant number of
consumers rely on these venues to meet their demands while choosing different products …

Optimal Attacking Strategy Against Online Reputation Systems with Consideration of the Message-Based Persuasion Phenomenon

Z Chen, HV Zhao - ICASSP 2021-2021 IEEE International …, 2021 - ieeexplore.ieee.org
The past decades witness the rise and proliferation of online reputation systems. These
reputation systems are vulnerable to malicious attacks, and most recent studies have …

[PDF][PDF] International Journal of Modern Engineering and Research Technology

S Kispotta, N Kumar, S Singh - International Journal, 2018 - academia.edu
Now a day's internet is most important and valuable source of learning, getting ideas as well
as review also. In internet we can find any product and its reviews that it is positive or …

The Perception of Usefulness: Iranian Customers' Evaluation of Customer Reviews

E Shahghasemi, M Hajijafari, M Shirzadifard… - Journal of Cyberspace …, 2018 - ssoar.info
Over the last decade, the retail industry has had a phenomenal growth. All figures show their
success and efficiency and many studies have shown the role of customer reviews in …