Fake Review

Fake online reviews, designed to manipulate consumer opinions and impact purchasing decisions, are a growing concern across e-commerce platforms. Research focuses on developing robust detection systems using machine learning, particularly deep learning models like transformers (e.g., BERT, XLNet) and ensemble methods combining various classifiers (e.g., SVM, KNN, decision trees), often incorporating metadata and multimodal data (text and images) to improve accuracy. These advancements aim to enhance the trustworthiness of online reviews, benefiting both consumers and businesses by mitigating the negative impacts of deceptive practices.