TrueNews-AI Powered Detection of Manipulated Text and Images
Abstract
The widespread use of digital media has amplified the challenge of distinguishing between authentic and false information. To tackle this issue, we developed True News, an advanced system designed to verify news authenticity using a combination of Optical Character Recognition (OCR), deep learning models based on BERT, and real-time news validation. Our approach involves extracting text from images via OCR, analyzing the extracted content using a pretrained BERT model, and cross-referencing the information with credible news sources through real-time APIs such as News API and Currents API. By employing a multi-layered verification process, our system effectively detects misinformation in both textual and image-based news.
Keywords:
Machine Learning, Deep Learning, Real-Time News Verification, News API, Misinformation Detection, Content Authenticity.
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Copyright (c) 2025 International Journal on Emerging Research Areas
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