The review article examines the role of machine learning in detecting and combating fake news amid the growing prevalence of social media. It highlights how machine learning techniques, including data mining, deep learning, natural language processing, ensemble learning, transfer learning, and graph-based methods, are essential for analyzing vast amounts of data and identifying patterns indicative of misinformation. The article provides an extensive analysis of recent advancements and approaches to automating the detection of fake news, emphasizing the importance of scalable and effective solutions.