(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! - Technology, Engineering and Computer Science http://bit.ly/2UA8gaK
Monday, February 4, 2019
Peering under the hood of fake-news detectors
About Engr. Abbas Yousfzai -
Author Description here.. Nulla sagittis convallis. Curabitur consequat. Quisque metus enim, venenatis fermentum, mollis in, porta et, nibh. Duis vulputate elit in elit. Mauris dictum libero id justo.
