Zi-Yun Cao

Machine Learning for Fake News Detection: Model Comparison, Interpretability, and Cross-domain Evaluation

Using a Kaggle dataset of 44,898 balanced news articles, this study compared four classic machine learning models—logistic regression, multinomial Naive Bayes, random forest, and linear SVM—with a lightweight deep learning model, DistilBERT, for fake news detection. The linear SVM paired with TF-IDF features turned out...