Text Only Fake News Approaches¶
Methods for fake news detection that rely exclusively on textual content without multimodal signals (images, social network structure, engagement metrics). Approaches include linguistic feature engineering, deep learning on text, and structural analysis of documents.
Key papers¶
- Learning Hierarchical Discourse-level Structure for Fake News Detection — discourse-level structure via unsupervised dependency trees
- Fake News Detection on Social Media: A Data Mining Perspective — data mining perspective on fake news detection
- EANN: Event Adversarial Neural Networks for Multi-Modal Fake News Detection — multimodal approach (included for structural comparison)