(Massachusetts Institute of Technology) New work from MIT researchers peers under the hood of an automated fake-news detection system, revealing how machine-learning models catch subtle but consistent differences in the language of factual and false stories. The research also underscores how fake-news detectors should undergo more rigorous testing to be effective for real-world applications.

Original source: https://www.eurekalert.org/pub_releases/2019-02/miot-put020419.php