Spam Review
Spam reviews, deceptive online comments designed to manipulate consumer opinions, pose a significant threat to the integrity of e-commerce. Current research focuses on developing robust detection methods using various machine learning approaches, including deep learning architectures like convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformer-based models, often incorporating metadata like product categories to improve accuracy. These efforts aim to enhance the reliability of online reviews, benefiting both consumers seeking authentic product information and businesses striving for fair market competition.
Papers
May 22, 2024
July 20, 2023
November 3, 2022
July 27, 2022