Explainable Fake News Detection Using Transformers: A Comparative Study of SHAP and Integrated Gradients with Cross-Dataset Generalization
As fake news continues to proliferate at an accelerating pace via digital media, automated fake news detection has become an urgent research challenge. We share a complete pipeline for explainable fake news detection from the WELFake dataset, consisting of 72,134 articles from 4 sources, that is reproducible. Four mode...