With Internet technologies and e-commerce systems, consumers can access a wide range of information about products, services and brands. One of the most effective tools they can access is the ability to access and write reviews about the products and services they have purchased. These reviews and ratings in various online channels such as social media, e-commerce websites or online evaluation platforms have become an important factor in directing consumers' purchasing processes and feelings of trust and can greatly affect consumer decisions. However, with the development of artificial intelligence technologies, the creation of fake reviews has become easier and widespread. Therefore, the prevalence of reviews manipulated to influence consumers may cause scepticism and distrust towards online platforms. This situation negatively affects consumer trust and creates information asymmetry between e-commerce platforms, businesses and consumers. Fake reviews and ratings create doubts about the accuracy and reliability of the information provided about the product/service. Online reviews and ratings cease to be a real source of feedback for businesses. In addition, the research also discusses the contribution of artificial intelligence tools to avoid and detect the negative effects of fake reviews and ratings. The purpose of this research is to examine the effects of fake reviews and ratings on consumer trust and to evaluate how fake reviews and ratings are produced, the characteristics they carry and the research on the detection of fake reviews.