MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202641042401 A) filed by P. Ganga Bhavani, Guntur, Andhra Pradesh, on April 2, for 'ai-powered fake news detection using textual data.'
Inventor(s) include Ponnekanti Indumathi; Kondamodhi Akhila; Adimulam Pavani; and Bede Durga Akshaya.
The application for the patent was published on April 17, under issue no. 16/2026.
According to the abstract released by the Intellectual Property India: "This invention discloses an AI-based system for fake news detection that enhances digital content verification and combats misinformation. Using NLP and deep learning, it analyzes text semantics, context, and sentiment to identify deceptive content accurately. Through its BiLSTM-Attention architecture, the system captures subtle linguistic cues often missed by traditional classifiers. A feature fusion framework merges linguistic, semantic, and emotional descriptors for robust classification. Unlike existing models, this invention integrates automated hyper parameter tuning, explain ability tools (SHAP/LIME), and multi-dataset validation, ensuring high reliability. It supports web, cloud, and media deployments, offering a scalable, interpretable, and adaptive solution for real-time misinformation detection."
Disclaimer: Curated by HT Syndication.
