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IMAGE: Anshumali Shrivastava is an assistant professor of computer science at Rice University. (Photo by Jeff Fitlow/Rice University) view more
Credit: Jeff Fitlow/Rice University
HOUSTON - (Dec. 10, 2020) - Rice University researchers have discovered a more efficient way for social media companies to keep misinformation from spreading online using probabilistic filters trained with artificial intelligence.
The new approach to scanning social media is outlined in a study presented today at the online-only 2020 Conference on Neural Information Processing Systems (NeurIPS 2020) by Rice computer scientist Anshumali Shrivastava and statistics graduate student Zhenwei Dai. Their method applies machine learning in a smarter way to improve the performance of Bloom filters, a widely used technique devised a half-century ago.