A Compact CNN–BiLSTM Model for Fake News Detection: Post Hoc Explanations and Cross-Dataset Evaluation
Strong in-domain performance in fake-news detection does not necessarily imply robustness across datasets, sources, or claim distributions. This study investigates a comparatively compact CNN–BiLSTM architecture for text-based fake-news detection using repeated random-seed evaluation, controlled classical and neural ba...