mlsanityData to 14 Oct 2026

Prevalence of Low-Credibility Information on Twitter During the COVID-19 Outbreak

arXiv 2004.14484 ↗First posted 29 Apr 2020cs.CYcited by 6

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Abstract (arXiv)

As the novel coronavirus spreads across the world, concerns regarding the spreading of misinformation about it are also growing. Here we estimate the prevalence of links to low-credibility information on Twitter during the outbreak, and the role of bots in spreading these links. We find that the combined volume of tweets linking to low-credibility information is comparable to the volume of New York Times articles and CDC links. Content analysis reveals a politicization of the pandemic. The majority of this content spreads via retweets. Social bots are involved in both posting and amplifying low-credibility information, although the majority of volume is generated by likely humans. Some of these accounts appear to amplify low-credibility sources in a coordinated fashion.

Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). First posted on arXiv 29 Apr 2020.

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Citing papers per year: 2021: 3; 2022: 2; 2023: 0; 2024: 0; 2025: 1.

6 papers.