August 25, 2019

Report: “Fake News Generator Created by Neural Network Researchers Aims to Fight Disinformation”

From Geek Wire:

In the battle for AI supremacy, the best defense is a good offense.

That’s the philosophy behind Grover, a neural network application that is fighting disinformation by creating its own fake news.

“We have to be one step ahead of potential misuse,” said Yejin Choi, a University of Washington professor and lead author on the project, which was a collaboration by researchers at UW and the Allen Institute for Artificial Intelligence (AI2)]

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Grover’s remarkably realistic news-making engine mimics the style and tone of specific publications and authors. The detection tool was able to tell the difference between human-written news and machine-written news 92 percent of the time, researchers said. Rather than looking at a single word that may be out of place, the model identifies statistical patterns in the overall text to decide if a piece of writing is fake or not.

Read the Complete Article

Direct to Grover Prototype

See Also: Defending Against Neural Fake News (Preprint)
Preprint by the Grover team.

Gary Price About Gary Price

Gary Price (gprice@mediasourceinc.com) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area. Before launching INFOdocket, Price and Shirl Kennedy were the founders and senior editors at ResourceShelf and DocuTicker for 10 years. From 2006-2009 he was Director of Online Information Services at Ask.com, and is currently a contributing editor at Search Engine Land.

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