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Title: Expanding Model Confidence for Fake News Detection: The Layered Approach Subtitle 1: Layering Probabilities in Model Training: Enhancing Fake News Detection Accuracy Imagine the future of journalism: a digital world where visuals are the currency, and fake news is a test of trust. Researchers, policymakers, and artists are working together to build safer and more reliable systems to combat this increasingly pervasive problem. In this article, we delve into the layered probabilities that power the current state of fake news detection, exploring how investing in more data granularity and advanced algorithms can elevate trust in AI-driven platforms like the…