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NEW YORK – Using machine learning, a team of U.S. researchers led by Indian American computer scientist Anshumali Shrivastava at Rice University has discovered an efficient way for social media companies to keep misinformation from spreading online. 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. Using test databases of fake news stories and computer viruses, Shrivastava and statistics graduate student Zhenwei Dai showed their Adaptive Learned Bloom Filter required 50 percent less memo...

This Indian-origin scientist has discovered a new way to filter fake news; read details IANS New York: Using machine learning (ML), a team of US researchers led by Indian-American computer scientist Anshumali Shrivastava at Rice University has discovered an efficient way for social media companies to keep misinformation from spreading online. 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. Using test databases of fake news stories and computer viruses, Shrivastava and statisti...

14 December 2020, 12:59 am EST By With so much misinformation spreading in social media, Rice University researchers led by computer scientist Anshumali Shrivastava developed a method using machine learning (ML) to prevent the spread of misinformation online. This new method developed by Shrivastava and his team is presented during the 2020 Conference on Neural Information Processing Systems (NeurIPS 2020), which was held online. They improved the 50-year old Bloom filter technology for scanning social media help social media network companies prevent the spread of fake news in their platfor...

 E-Mail 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 20...