Attention-Based AI Reads News Word by Word to Catch Multilingual Fake Stories
Researchers have built a hierarchical attention network that detects fake news in English, Hindi, and Marathi, reaching 98.9 percent accuracy ...
Researchers have built a hierarchical attention network that detects fake news in English, Hindi, and Marathi, reaching 98.9 percent accuracy ...
Researchers in India have built a custom fine-tuned BERT-based framework that outperforms classical machine learning, deep learning baselines, and GPT-3.5 ...
Researchers have developed a divide-and-conquer fake news detection framework combining linguistic features and word embeddings that achieves F1-scores above 98 ...
Researchers have developed DES-CMR, an AI model that learns to select and reason over evidence documents end to end while ...
In an age where misinformation spreads like wildfire across digital platforms, the stakes of this phenomenon are perhaps highest during ...
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© 2025 Scienmag - Science Magazine