EARLY DETECTION OF FAKE NEWS USING AI-BASED CHROME EXTENSION AND WEBSITE
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Fake news has become a major concern in today’s digital world, where social media platforms and online networks make it easier for false information to spread quickly. Often, traditional detection techniques only employ textual characteristics, neglecting crucial contextual factors like the news’s novelty and popularity that can increase detection accuracy. In this work, we propose Spectral Clustering Environments and Data Augmentation for Fake News Detection (SEAFND), a real-time framework for detecting fake news that integrates contextual, stylistic, and semantic features .Our approach combines state-of the-art Natural Language
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Amrutkar, A., Aware, A., Hire, R. & Ahire, V. (2026). Early Detection of Fake News using AI-based Chrome Extension and Website. International Journal of Science, Strategic Management and Technology, 02(04). https://doi.org/10.55041/ijsmt.v2i4.166
Amrutkar, Aditya, et al.. "Early Detection of Fake News using AI-based Chrome Extension and Website." International Journal of Science, Strategic Management and Technology, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijsmt.v2i4.166.
Amrutkar, Aditya,Amol Aware,Rohit Hire, and Vivek Ahire. "Early Detection of Fake News using AI-based Chrome Extension and Website." International Journal of Science, Strategic Management and Technology 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijsmt.v2i4.166.
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