Next-Gen Fake News Detection: Leveraging Bert for Enhanced Accuracy

Abstract - The rise of fake news on digital platforms threatens public trust and democratic integrity. This project presents an AI-powered approach using a fine-tuned BERT model to detect nuanced misinformation, addressing the shortcomings of current systems. By developing a labeled dataset with bias classifications and evaluating performance through standard metrics, the system outperforms traditional methods. The research advances media transparency and showcases transformer models as vital tools in combating evolving misinformation tactics. Key Words: Fake news detection, BERT, natural language processing, media credibility, deep learning