Open access
Aug 2026
An NLP-Based Framework for Fake News Detection Using Contextual and Engineered Features in Communication Technologies
The model achieved remarkable results over various phases, accuracy, precision, recall, and F1-score increased, reaching 97.0%, 96.8%, and 96.9%, respectively, in the final classification phase, demonstrating robust and reliable detection capabilities.
S. Gopalakrishnan, J. Thangamalar, M. Sheela et al.
· International Journal of Eng... · 0 citations