id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
cana-5485	Malatthi Sivasundaram	Hybrid Deep Learning for Advanced Fake News Detection using Explainable AI and Fast Text	2025	8	.pdf	application/pdf	2885	190	46	Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 10s (2025) 2375 https://internationalpubls.com Hybrid Deep Learning for Advanced Fake News Detection using Explainable AI and Fast Text 1Malatthi Sivasundaram, 2V. Prakasham, 3R. Rathika, 4P. Subhashini, 5P. Karthi, 6A. Priyadharshini 1 Department of Computer Science and Engineering, K S R College of Engineering, Tiruchengode - 637215 2 Department of Computer Science and Engineering, K S R College of Engineering, Tiruchengode - 637215 3 Department of Computer Science and Engineering, KSR College of Engineering Tiruchengode – 637215 4 Department of Computer Science and Engineering, K S R Institute for Engineering and Technology, Tiruchengode – 637215 5 Department of Computer Science and Design, K S R College of Engineering, Tiruchengode – 637215 6 Department of Computer Science and Engineering, KSR College of Engineering Tiruchengode – 637215 Article History: Received: 12-01-2025 Revised: 15-02-2025 Accepted: 01-03-2025 Abstract: In order to enhance transparency and interpretability, the main goal of this project is to create a hybrid deep learning model for fake news detection by fusing Explainable AI (XAI) techniques like SHapley Additive exPlanations (SHAP) with XLNet, FastText, and CNN Algorithm. Group 2 Demonstrates more sophisticated methods that improve fake news detection by utilizing deep learning and hybrid AI models.	cache/cana-5485.pdf	txt/cana-5485.txt