TY - JOUR
T1 - Supersharers of fake news on Twitter
AU - Baribi-Bartov, Sahar
AU - Swire-Thompson, Briony
AU - Grinberg, Nir
N1 - Publisher Copyright:
© 2024 American Association for the Advancement of Science. All rights reserved.
PY - 2024/5/31
Y1 - 2024/5/31
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85194733750&partnerID=8YFLogxK
U2 - 10.1126/science.adl4435
DO - 10.1126/science.adl4435
M3 - Article
C2 - 38815033
AN - SCOPUS:85194733750
SN - 0036-8075
VL - 384
JO - Science
JF - Science
IS - 6699
ER -