Related Experiment Video
Updated: Jun 25, 2025

An Experimental Analysis of Children's Ability to Provide a False Report about a Crime
Published on: May 3, 2016
Supersharers of fake news on Twitter
Sahar Baribi-Bartov1, Briony Swire-Thompson2, Nir Grinberg1
1Software and Information Systems Engineering, Ben-Gurion University, Be'er Sheva, Israel.
Abstract:
Governments may have the capacity to flood social media with fake news, but little is known about the use of flooding by ordinary voters. In this work, we identify 2107 registered US voters who account for 80% of the fake news shared on Twitter during the 2020 US presidential election by an entire panel of 664,391 voters. We found that supersharers were important members of the network, reaching a sizable 5.2% of registered voters on the platform. Supersharers had a significant overrepresentation of women, older adults, and registered Republicans. Supersharers' massive volume did not seem automated but was rather generated through manual and persistent retweeting. These findings highlight a vulnerability of social media for democracy, where a small group of people distort the political reality for many.
More Related Videos
08:42Measurement of the Directional Information Flow in fNIRS-Hyperscanning Data using the Partial Wavelet Transform Coherence Method
Published on: September 3, 2021
08:53Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community
Published on: May 31, 2019
Related Concept Videos
Social Proof
Group Polarization
Social Exchange Theory
Social Traps
Social Loafing
False Memories
One primary source of false memories is misattribution, where individuals incorrectly associate external information...