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AI-Powered Detection of Deceptive Product Feedback: A Review of Methods, Models, and Future Directions

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AI-Powered Detection of Deceptive Product Feedback: A Review of Methods, Models, and Future Directions


Manish Adawadkar



Manish Adawadkar "AI-Powered Detection of Deceptive Product Feedback: A Review of Methods, Models, and Future Directions" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-9 | Issue-5, October 2025, pp.648-656, URL: https://www.ijtsrd.com/papers/ijtsrd97583.pdf

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.


IJTSRD97583
Volume-9 | Issue-5, October 2025
648-656
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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.

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