A deep learning network developed by CBMM computer scientists that detects patterns in the language of fake news.
Our team at the Center for Brains, Minds and Machines within MIT's McGovern Institute for Brain Research has developed a "fake news detector" that uses deep neural networks to capture subtle differences in the language of fake and real news.
For more information about this detector, read this MIT news story or take a look at our original manuscript, "The Language of Fake News: Opening the Black-Box of Deep Learning Based Detectors," which we presented at a workshop called "AI for Social Good" at the 32nd Conference on Neural Information Processing Systems (NIPS) in Montreal, Canada.
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