Current Volume 9
A Unified Framework for Detecting Fake Reviews and Counterfeit Products in E-Commerce Platforms using Machine Learning
Abstract
The growth of shopping has changed how people buy things, but it has also brought new problems with trusting online sellers. Fake reviews and fake products are two issues for online marketplaces. Fake products hurt customers and good companies by making it hard to tell if a product is real, while fake reviews trick people who are thinking of buying something by changing the product ratings[6],[9]. Some studies have looked at these problems separately. Product companies have suggested using things like blockchain-based authentication, QR codes and image analysis to check if a product is real[13],[14]. For reviews, companies have used machine learning and natural language processing methods have been utilized to analyse reviews and find fake ones[1],[2],[10]. There is still a problem. No system checks whether a product is real. If reviews are trustworthy at the same time[13]. This makes it hard for online shopping platforms to really know if customers can trust what they are buying. This study suggests a way to look at both problems together. It wants to use computer analysis of reviews and checks on products to help online shopping platforms find and stop products and reviews. This can help people trust shopping more and make online marketplaces more open and honest. When we find and stop products and reviews, online shopping becomes safer for everyone. This is the thing for customers and businesses. Customers can trust the things that they buy online. Businesses also benefit from this because online shopping becomes reliable. This means that customers and businesses both can feel good about shopping online
Keywords
Fake Review Detection, Detecting Counterfeit Products, E-Commerce Security, Using Machine Learning, Understanding Natural Language Processing, Evaluating Trust, Fraud Detection
Citations
IRE Journals:
Pulkit Bahuguna, Dr. M N Nachappa "A Unified Framework for Detecting Fake Reviews and Counterfeit Products in E-Commerce Platforms using Machine Learning" Iconic Research And Engineering Journals Volume 9 Issue 11 2026 Page 1929-1939 https://doi.org/10.64388/IREV9I11-1717765
IEEE:
Pulkit Bahuguna, Dr. M N Nachappa
"A Unified Framework for Detecting Fake Reviews and Counterfeit Products in E-Commerce Platforms using Machine Learning" Iconic Research And Engineering Journals, 9(11) https://doi.org/10.64388/IREV9I11-1717765
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