Description
Fine-tuned and compared DistilBERT and RoBERTa models for fake news detection using a labeled dataset of news articles. Evaluated model performance on multiple datasets with accuracy, precision, recall, and F1-score metrics, with RoBERTa achieving slightly superior results. The work culminated in a research paper published at the MIPRO Convention in Croatia.