The fake news detection work by the Multi-aspect Data Lab was featured in a Science News article. In this work, Prof. Papalexakis with two graduate students Gisel Bastidas (MS, pictured right) and Sara Abdali (PhD, pictured left), and Dr. Neil Shah, a collaborator from Snap Research, show how their method can detect fake news using an extremely small number of human annotations with higher accuracy than fully supervised approaches. The paper will appear this August at the IEEE/ACM Advances in Social Network Analysis and Mining conference in Barcelona.
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