SAHAR BARIBI-BARTOV , BRIONY SWIRE-THOMPSON , AND NIR GRINBERG , Science; Supersharers of fake news on Twitter
"Editor’s summary
Most fake news on Twitter (now X) is spread by an extremely small population called supersharers. They flood the platform and unequally distort political debates, but a clear demographic portrait of these users was not available. Baribi-Bartov et al. identified a meaningful sample of supersharers during the 2020 US presidential election and asked who they were, where they lived, and what strategies they used (see the Perspective by van der Linden and Kyrychenko). The authors found that supersharers were disproportionately Republican, middle-aged White women residing in three conservative states, Arizona, Florida, and Texas, which are focus points of contentious abortion and immigration battles. Their neighborhoods were poorly educated but relatively high in income. Supersharers persistently retweeted misinformation manually. These insights are relevant for policymakers developing effective mitigation strategies to curtail misinformation. —Ekeoma Uzogara
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."
