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There is a growing concern about the rise of fake reviews on e-commerce platforms such as Amazon. Fake reviews are endorsements written by individuals who have not actually experienced the product or service they are reviewing. These reviews are often created for monetary gain or to harm the reputation of a competitor. Fake reviews can deceive consumers and influence their purchasing decisions, leading to dissatisfaction and loss of trust in the e-commerce platform. The increasing use of machine learning algorithms to detect and remove fake reviews has shown some promising results, but the issue is far from being fully resolved. Some of the challenges faced in identifying fake reviews include the use of sophisticated techniques by fraudsters, the large volume of user-generated content, and the lack of verifiable information about reviewers. More research and collaboration between e-commerce platforms and academic institutions are needed to develop more effective detection methods and protect consumers from fake reviews. Overall, tackling the issue of fake reviews requires a multi-faceted approach involving technology, regulations, and consumer awareness.