Abstract of the 2019 winning paper is posted below.
First Place
Effects of Bandwagon Cues and Automated Journalism on Reading, Commenting and Sharing of Real vs. False Information Online • Maria D. Molina, Jinping Wang, Thai Le, Carlina DiRusso, and S. Shyam Sundar, Penn State University
Abstract: Do social media users read, comment and share false news more than real news? Does their engagement with news depend on whether the source of the story is a staff writer or a bot, and whether the story is endorsed by many or only a few others in the network? We conducted a 2 (real vs. false news story) x 2 (staff writer vs. bot) x 2 (high vs. low bandwagon) experiment to find out.
