Peering under the hood of fake-news detectors

(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.

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

Source: EurekAlert! - Social and Behavioral Science - February 4, 2019 Category: International Medicine & Public Health Source Type: news

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