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What Types of COVID-19 Conspiracies are Populated by Twitter Bots?

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arxiv 2004.09531 v2 pith:65OP6R2V submitted 2020-04-20 cs.SI physics.soc-ph

Emilio Ferrara This is my paper · ORCID
classification cs.SIphysics.soc-ph
keywords botscovid-19socialconspiraciesdiscussionmediaplatformspopulated
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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.

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  1. Graph-based Fake Account Detection: A Survey

    cs.SI 2025-07 conditional novelty 4.0 of 10

    A structured survey of graph-based fake account detection methods, organizing classical, traditional machine learning, and deep learning approaches and their datasets.

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