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 …

In recent years, machine learning (ML) and artificial intelligence (AI) have attracted
considerable attention in different industry sectors, including marketing. ML and AI hold …

The detection of software vulnerability requires critical attention during the development
phase to make it secure and less vulnerable. Vulnerable software always invites hackers to …

The blockchain is a technology which accumulates and compiles data into a chain of
multiple blocks. Many blockchain researchers are adopting it in multiple areas. However …

Reading customer reviews before purchasing items online has become a common practice;
however, some companies use machine learning (ML) algorithms to generate false reviews …

Online reviews about the purchase of products or services provided have become the main
source of users' opinions. In order to gain profit or fame, usually spam reviews are written to …

Online reviews regarding different products or services have become the main source to
determine public opinions. Consequently, manufacturers and sellers are extremely …

Fraudulent online sellers often collude with reviewers to garner fake reviews for their
products. This act undermines the trust of buyers in product reviews, and potentially reduces …

The financial impact of positive reviews has prompted some fraudulent sellers to generate
fake product reviews for either promoting their products or discrediting competing products …

The development of social media user stance detection and bot detection methods rely
heavily on large-scale and high-quality benchmarks. However, in addition to low annotation …