RoBERTa's Resolve: Unveiling the Veil of Fake News

Identifying and easing fake news in digital communication is increasingly vital. This paper explores the advanced Natural Language Processing (NLP) and deep literacy models, reinforcing RoBERTa, a refined interpretation of BERT, known for its effectiveness in understanding complex language. We review recent exploration of using RoBERTa for fake news discovery, examining its framework, pre-training, fine-tuning, datasets, evaluation criteria, and experimental protocols. Also, we discuss the challenges and future directions in enhancing RoBERTa for more accurate and robust fake news discovery systems, contributing to a further secure digital landscape.