A Comprehensive Review of Fake News Detection Using Linguistic Features, Word Embeddings, and Deep Learning: A Proposed Hybrid Multi-Signal Framework
The rapid proliferation of fake news across social media and messaging platforms poses a serious threat to information integrity, public discourse, and institutional trust. Automated detection research has progressed through linguistic feature-based methods, recurrent and attention-based neural architectures, word-embe...