How Microsoft Set A New Benchmark To Track Fake News

Researchers from Microsoft, along with a team from Arizona State University, have published a work that has outperformed the current state-of-the-art models that detect fake news. Though the prevalence and promotion of misinformation have been since time immemorial, today, thanks to the convenience for access provided by the internet, fake news is rampant and has affected healthy conversations. Given the rapidly evolving nature of news events and the limited amount of annotated data, state-of-the-art systems on fake news detection face challenges due to the lack of large numbers of annotated training instances that are hard to come by for early detection. In this work, the authors exploited multiple weak signals from different user engagements. They call this approach multi-source weak social supervision or MWSS.