Current machine learning models aren’t yet up to the task of distinguishing false news reports, two new papers by MIT researchers show.
The big picture: After different researchers showed that computers can convincingly generate made-up news stories without much human oversight, some experts hoped that the same machine-learning-based systems could be trained to detect such stories. But MIT doctoral student Tal Schuster’s studies show that, while machines are great at detecting machine-generated text, they can’t identify whether stories are true or false.
Details: Many automated fact-checking systems are trained using a database of true statements called Fact Extraction and Verification (FEVER).
https://www.axios.com/machine-learning-cant-flag-false-news-55aeb82e-bcbb-4d5c-bfda-1af84c77003b.html
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