Leveraging Natural Language Processing for Fake News Detection

Fake News Detection

This study proposes an effective approach for fake news de- tection leveraging a fine-tuned BERT model. By adapting BERT’s language understanding capabilities, we achieved improved performance in identifying fake news articles. Our approach achieved better result comparing to traditional machine learning methods like CNN and base BERT. This project underscores the potential of BERT models in address- ing the fake news issue and suggests new opportunities for further research in this field.