(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.
from EurekAlert! - Social and Behavioral Science http://bit.ly/2UA8gaK
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