Online reviews have become a crucial part of consumer decision-making, significantly influencing product reputation and sales. However, the rise of fake or manipulated product feedback poses a serious threat to trust, transparency, and the credibility of e-commerce platforms. This paper presents a comprehensive review of how Artificial Intelligence (AI) and Machine Learning (ML) techniques are used to detect and prevent fake reviews. It highlights the evolution of AI-based models, including Natural Language Processing (NLP) for text analysis, deep learning for feature extraction, and sentiment analysis for identifying deceptive patterns. The study also explores recent advancements such as transformer-based models (BERT, RoBERTa), multimodal analysis combining text, image, and user behavior, and graph-based learning to enhance detection accuracy. Additionally, the paper discusses benchmark datasets, evaluation metrics, challenges in cross-domain generalization, and the ethical implications of automated moderation. This review provides insights into current trends, identifies open research challenges, and outlines future directions for developing robust, transparent, and trustworthy AI systems to combat fake product feedback.
Artificial Intelligence (AI); Machine Learning (ML); Fake Reviews; Product Feedback Detection; Natural Language Processing (NLP); Sentiment Analysis; Deep Learning; Transformer Models; Review Authenticity; E-commerce Security.
International Journal of Trend in Scientific Research and Development - IJTSRD having
online ISSN 2456-6470. IJTSRD is a leading Open Access, Peer-Reviewed International
Journal which provides rapid publication of your research articles and aims to promote
the theory and practice along with knowledge sharing between researchers, developers,
engineers, students, and practitioners working in and around the world in many areas
like Sciences, Technology, Innovation, Engineering, Agriculture, Management and
many more and it is recommended by all Universities, review articles and short communications
in all subjects. IJTSRD running an International Journal who are proving quality
publication of peer reviewed and refereed international journals from diverse fields
that emphasizes new research, development and their applications. IJTSRD provides
an online access to exchange your research work, technical notes & surveying results
among professionals throughout the world in e-journals. IJTSRD is a fastest growing
and dynamic professional organization. The aim of this organization is to provide
access not only to world class research resources, but through its professionals
aim to bring in a significant transformation in the real of open access journals
and online publishing.