Sep 2026· International Journal of Machine Learning and Cybernetics· Vol 17· 0 citations· 70 references
TL;DR
Experimental results demonstrate that the proposed framework achieves superior accuracy, precision, recall, F1-score, and ROC-AUC performance while maintaining computational efficiency and scalability and can support real-time misinformation monitoring and fact-checking applications.
SAPGAN-AOA-FND, a novel framework combining a self-attention-based progressive generative adversarial network (SAPGAN) enhanced using the Aquila optimization algorithm (AOA) tailored specifically for fake news identification, is proposed.
Results indicate that contextual representations from BERT, sequential dependency modelling through LSTM, and adaptive feature weighting through Bahdanau Attention provide complementary capabilities for fake news classification.
Loreta Katok Tohomdet, M. Masari, A. Ramalan et al.· Journal of Future Artificial...· 0 citations
Misinformation propagation across online platforms continues to pose serious risks to informed public discourse and media credibility. To address this, we design and evaluate a fully integrated fake news detection pipeline built upon the FakeNewsNet benchmark, drawing from both PolitiFact and Buz-zFeed corpora. This wo...
G. Sai, R. B. Kumar, Yalavarthi Sai Eswari· International Conference on...· 0 citations
Misinformation and disinformation spread rapidly on social media, so reliable mechanisms are needed to classify news as fake or real. Although deep learning models have become increasingly popular, traditional machine learning methods remain relevant because they are easier to interpret and can be very efficient. This...
A. P. Asha, R. Gayathri· Conference Proceedings in Sc...· 0 citations
A hybrid ensemble learning framework enhanced by RoBERTa-based feature representation and optimized using the Whale Optimization Algorithm is introduced to effectively capture deep semantic patterns in textual data while improving classification performance through adaptive parameter tuning.
Kareem Awad Dawood, Golnaz Aghaee Ghazvini, Ali Albu-Rghaif et al.· Digital Transformation and A...· 0 citations
Deepfake audio poses increasing risks to political forensics by enabling scalable misinformation, speaker impersonation, and identity spoofing. In response to this challenge, this paper presents a web-integrated deepfake detection framework for manipulated political speech together with a politically grounded multiling...
Patricio Mendoza Nuñez, Juan Pablo Astudillo León, Jefferson Alexander Moreno-Guaicha et al.· Applied Sciences· 0 citations
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