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Detecting Fake News: A Machine Learning Approach
Guillermo Lezama, Man Cheung Tsui, Pedro Fontanarrosa, Nishad Mandlik, Prithvijit Mukherjee, shayne plourde
The spread of misinformation, or "fake news," is a significant issue in today's digital society. This project aims to tackle this challenge by developing a machine-learning model capable of analyzing news articles and classifying them as "real" or "fake."
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