AI-Based Fake News Detection: A Machine Learning Approach

Fake news has become a widespread issue in the digital age, influenc-ing public opinion, elections, and social stability.The rapid dissemination of misinformation across social media platforms and online news portals necessitates the development of robust detection mechanisms.This pa-per presents an AI-based approach for fake news detection using machine learning and deep learning techniques.We analyze various methodolo-gies, including natural language processing (NLP) techniques, feature ex-traction, and model training for automated fake news classification.A comparative analysis of different machine learning models is conducted to identify the most effective approach.Challenges and potential future im-provements are also discussed, emphasizing the importance of AI-driven fake news detection systems in ensuring the credibility of online informa-tion.