What Types of COVID-19 Conspiracies are Populated by Twitter Bots?
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Abstract (arXiv)
With people moving out of physical public spaces due to containment measures to tackle the novel coronavirus (COVID-19) pandemic, online platforms become even more prominent tools to understand social discussion. Studying social media can be informative to assess how we are collectively coping with this unprecedented global crisis. However, social media platforms are also populated by bots, automated accounts that can amplify certain topics of discussion at the expense of others. In this paper, we study 43.3M English tweets about COVID-19 and provide early evidence of the use of bots to promote political conspiracies in the United States, in stark contrast with humans who focus on public health concerns.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). First posted on arXiv 20 Apr 2020.
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Citing papers per year: 2021: 2; 2022: 0; 2023: 0; 2024: 2; 2025: 1; 2026: 1.
6 papers.
- 2024In Context Learning and Reasoning for Symbolic Regression with Large Language Modelscited by 7
- 2021Misleading the Covid-19 vaccination discourse on Twitter: An exploratory study of infodemic around the pandemiccited by 4
- 2025HP-BERT: A framework for longitudinal study of Hinduphobia on social media via language modelscited by 1
- 2021Detecting Propaganda on the Sentence Level during the COVID-19 Pandemiccited by 0
- 2024Health Misinformation in Social Networks: A Survey of IT Approachescited by 0
- 2026Unmasking Superspreaders: Data-Driven Approaches for Identifying and Comparing Key Influencers of Conspiracy Theories on X.comcited by 0
- 2026Unmasking Superspreaders: Data-Driven Approaches for Identifying and Comparing Key Influencers of Conspiracy Theories on X.com4 Feb 2026
- 2025HP-BERT: A framework for longitudinal study of Hinduphobia on social media via language models7 Jan 2025
- 2024Health Misinformation in Social Networks: A Survey of IT Approaches24 Oct 2024
- 2024In Context Learning and Reasoning for Symbolic Regression with Large Language Models22 Oct 2024
- 2021Misleading the Covid-19 vaccination discourse on Twitter: An exploratory study of infodemic around the pandemic16 Aug 2021
- 2021Detecting Propaganda on the Sentence Level during the COVID-19 Pandemic31 Jul 2021