How does AI identify and address fake reviews in e-commerce systems to improve trust?
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AI can identify and address fake reviews in e-commerce systems by employing various techniques such as natural language processing, sentiment analysis, and machine learning algorithms. These technologies can analyze the content of reviews, detect patterns in the language used, identify anomalies in user behavior, and compare reviews with other data sources to determine their authenticity. AI can also flag suspicious reviews for manual review by moderators and continuously learn from new data to improve its detection capabilities. By combating fake reviews, AI helps to improve trust in e-commerce systems by providing users with more accurate and reliable information about products and services.