A new paper “Fake news on Twitter during the 2016 U.S. presidential election” by Nir Grinberg, Kenneth Joseph, Lisa Friedland, Briony Swire-Thompson, and David Lazer
There was a proliferation of fake news during the 2016 election cycle. Grinberg et al. analyzed Twitter data by matching Twitter accounts to specific voters to determine who was exposed to fake news, who spread fake news, and how fake news interacted with factual news (see the Perspective by Ruths). Fake news accounted for nearly 6% of all news consumption, but it was heavily concentrated—only 1% of users were exposed to 80% of fake news, and 0.1% of users were responsible for sharing 80% of fake news. Interestingly, fake news was most concentrated among conservative voters.”
Professor David Lazer is the NULab’s co-director; Nir Grinberg is the recipient of a NULab seedling grant for his work on algorithmic bias in AI-assisted conversation; and Briony Swire-Thompson received a 2018 seedling grant for a new project “The prevalence of backfire effects after the correction of misinformation.”
Read the full paper here.