A Systematic Study on Fake Review Detection Approaches on E-Commerce Platforms

Customers’ reliance on reviews for product information has experienced a substantial increase. However, the integrity of online reviews is undermined by the existence of deceptive reviews that provide a distorted perception of product quality and it significantly impacts consumers’ purchase decisions. The credibility of online reviews holds significant importance for businesses due to its direct impact on their reputation and financial success, thus necessitating utmost attention. Some businesses use methods that some people consider to be unethical to gather reviews. These methods include paying people to post fake reviews. This practice leads potential customers astray when making purchasing decisions. This paper presents a comprehensive and systematic study of different approaches to detecting fake reviews on ecommerce platforms. It also summarizes the available research approaches along with experimental methodologies used with findings. By assessing the strengths and limitations of these approaches, it gives holistic understanding of the current situation of fake review detection and shed light on the potential direction of future research in this critical area. It also elaborates the scopes for improvements of fake reviews detection approaches on E-commerce platforms.