To Catch a Fake: Machine learning sniffs out its own machine-written propaganda


Publication Title
ZD Net
Publication/Creation Date
June 2 2019
Creators/Contributors
Tiernan Ray (creator)
Allen Institute (contributor)
University Of Washington (contributor)
Persuasive Intent
Information
Description
Researchers at Allen Institute and the Paul Allen School of Computer Science and Engineering at the University of Washington have tuned the "GPT-2" neural network to create "Grover," a program that both creates convincing fake articles but also is able to detect those fakes, pointing to a way to combat propaganda.
HCI Platform
Other
Location on Body
Not On The Body
Source
https://www.zdnet.com/article/to-catch-a-fake-machine-learning-sniffs-out-its-own-machine-written-propaganda/

Date archived
June 11 2019
Last edited
June 24 2019
How to cite this entry
Tiernan Ray. (June 2 2019). "To Catch a Fake: Machine learning sniffs out its own machine-written propaganda". ZD Net. ZDNet. Fabric of Digital Life. https://fabricofdigitallife.com/index.php/Detail/objects/3920