Umme Noor Us Saqa

Fake News Detection Using Machine Learning and LLM Embeddings: A Comparative Study of TF-IDF and BERT Representations on the Welfake Dataset

The proposed framework highlights the potential of integrating transformer-based language models with classical machine learning algorithms to build robust and scalable fake news detection systems.