[Ed. – Relatively few people saw it, and people weren’t dumb enough to believe it anyway. Not surprising.]
NYU economics professor Hunt Allcott and Stanford economics professor Matthew Gentzkow led the research. The pair ran a series of tests to determine which fake news articles were circulated, how much of it was circulated, and the amount of voters that believed the stories to be true.
Once they gathered an assortment of fake news stories, Gentzkow and Allcott used fact-checking resources in order to verify that these stories were fake. They then conducted a post-election survey that consisted of 1,200 voters.
Participants were asked what their primary or “most important” source of 2016 election news was. Next, they were presented with a list of true and false news stories, and asked two questions concerning each individual story. The first was whether or not the participant remembered seeing the story. The second question asked whether or not they believed the story.