Fake reviews are popular today where product reviewers write the reviews without
experiencing or purchasing the product on e-commerce and restaurant portals. Currently …

Majority of customers and manufacturers who tend to purchase and trade via e-commerce
websites primarily rely on reviews before making purchasing decisions and product …

Against the uncertainty caused by the information overload in the online world, consumers
can benefit greatly by reading online product reviews before making their online purchases …

Online product reviews play a major role in the success or failure of an E‐commerce
business. Before procuring products or services, the shoppers usually go through the online …

Online reviews are increasingly recognized as a key source of information influencing
consumer behavior. This in turn implies that competitive advantage can be achieved by …

Abstract User Generated Comments and ranking based on it, has been studied extensively
due to its impact on consumers and businesses. Literature highlights that platforms' rankings …

This study provides an applicable methodological procedure applying Artificial Intelligence
(AI)-based supervised Machine Learning (ML) algorithms in detecting fake reviews of online …

Fake reviews in e-commerce can lead to customer deception and financial losses. Despite
the importance of fake reviews detection, studies for Arabic language are scarce due to the …

The problem of detecting phishing emails through machine learning techniques has been
discussed extensively in the literature. Conventional and state-of-the-art machine learning …

Deepfakes endanger business and society. Regarding fraudulent texts created with deep
learning techniques, this may become particularly evident for online reviews. Here …