Prof. William Wang's research is featured in the Motherboard article, "Teaching Machines to Detect Fake News Is Really Hard"

May 9, 2017

Timely new research by Assistant Professor William Wang is attempting to determine if machines can do a better job of spotting fake news than human beings. To that end, Wang created LIAR, the largest-ever database of fake news; in an effort to train machines to automatically detect deception.

His work is the topic of an article titled "Teaching Machines to Detect Fake News Is Really Hard," featured here in the popular media outlet Motherboard