In e-commerce, user reviews can play a significant role in determining the revenue of an
organisation. Online users rely on reviews before making decisions about any product and …

Artificial intelligence (AI) and machine learning (ML) are emergent tools for fake review
detection. This study provides a comprehensive overview of AI applications in fake review …

Ensuring the credibility of online consumer reviews (OCRs) is a growing societal concern.
However, the problem of fake reviewers on online platforms significantly influences e …

Nowadays, a large number of customers purchase products and services online. Customers
can write their opinions in reviews to express the value and quality of purchased goods and …

Online reviews have a substantial impact on decision making in various areas of society,
predominantly in the arena of buying and selling of goods. As such, the truthfulness of …

Online reviews significantly impact consumers who are purchasing or seeking services via
the Internet. Businesses and review platforms need to manage these online reviews to avoid …

Online reviews influence consumers' purchasing decisions. However, identifying fake online
reviews automatically remains a complex problem, and current detection approaches are …

The proliferation of fake reviews on various online platforms has created a major concern for
both consumers and businesses. Such reviews can deceive customers and cause damage …

The increasingly developed online platform generates a large amount of online reviews
every moment, eg, Yelp and Amazon. Consumers gradually develop the habit of reading …

Recently, the impact of product or service reviews on customers' purchasing decisions has
become increasingly significant in online businesses. Consequently, manipulating reviews …