A Comparative Framework for Fake News Detection Using DistilBERT and Machine Learning Algorithms
Automated fake-news detection is increasingly required because the volume and speed of online content exceed the capacity of manual verification. This study presents a controlled comparison between three conventional machine-learning classifiers---Naive Bayes, Logistic Regression, and Random Forest---and a fine-tuned D...