TY - JOUR
T1 - "Here's Your Evidence"
T2 - False Consensus in Public Twitter Discussions of COVID-19 Science
AU - Efstratiou, Alexandros
AU - Efstratiou, Marina
AU - Yudhoatmojo, Satrio
AU - Blackburn, Jeremy
AU - De Cristofaro, Emiliano
N1 - Publisher Copyright:
© 2024 Owner/Author.
PY - 2024/11/8
Y1 - 2024/11/8
N2 - The COVID-19 pandemic brought about an extraordinary rate of scientific papers on the topic that were discussed among the general public, although often in biased or misinformed ways. In this paper, we present a mixed-methods analysis aimed at examining whether public discussions were commensurate with the scientific consensus on several COVID-19 issues. We estimate scientific consensus based on samples of abstracts from preprint servers and compare against the volume of public discussions on Twitter mentioning these papers. We find that anti-consensus posts and users, though overall less numerous than pro-consensus ones, are vastly over-represented on Twitter, thus producing a false consensus effect. This transpires with favorable papers being disproportionately amplified, along with an influx of new anti-consensus user sign-ups. Finally, our content analysis highlights that anti-consensus users misrepresent scientific findings or question scientists' integrity in their efforts to substantiate their claims.
AB - The COVID-19 pandemic brought about an extraordinary rate of scientific papers on the topic that were discussed among the general public, although often in biased or misinformed ways. In this paper, we present a mixed-methods analysis aimed at examining whether public discussions were commensurate with the scientific consensus on several COVID-19 issues. We estimate scientific consensus based on samples of abstracts from preprint servers and compare against the volume of public discussions on Twitter mentioning these papers. We find that anti-consensus posts and users, though overall less numerous than pro-consensus ones, are vastly over-represented on Twitter, thus producing a false consensus effect. This transpires with favorable papers being disproportionately amplified, along with an influx of new anti-consensus user sign-ups. Finally, our content analysis highlights that anti-consensus users misrepresent scientific findings or question scientists' integrity in their efforts to substantiate their claims.
KW - covid-19
KW - misinformation
KW - scientific consensus
KW - social media
KW - twitter
UR - http://www.scopus.com/inward/record.url?scp=85209395090&partnerID=8YFLogxK
U2 - 10.1145/3687010
DO - 10.1145/3687010
M3 - Article
AN - SCOPUS:85209395090
SN - 2573-0142
VL - 8
JO - Proceedings of the ACM on Human-Computer Interaction
JF - Proceedings of the ACM on Human-Computer Interaction
IS - CSCW2
M1 - 471
ER -