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Researchers Use Machine-Learning Method to Improve Bloom Filter for Fake News Detection on Social Media

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 platforms.
What are bloom filters?
A Bloom filter is a data structure used to test whether a certain element is a member of a set. It is ....

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