"Here's Your Evidence": False Consensus in Public Twitter Discussions of COVID-19 Science
January 24, 2024 Β· Declared Dead Β· π Proc. ACM Hum. Comput. Interact.
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Authors
Alexandros Efstratiou, Marina Efstratiou, Satrio Yudhoatmojo, Jeremy Blackburn, Emiliano De Cristofaro
arXiv ID
2401.13248
Category
cs.CY: Computers & Society
Cross-listed
cs.SI
Citations
1
Venue
Proc. ACM Hum. Comput. Interact.
Last Checked
5 months ago
Abstract
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.
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