Misinformation, manipulation, and abuse on social media in the era of COVID-19

Emilio Ferrara (), Stefano Cresci () and Luca Luceri ()
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Emilio Ferrara: University of Southern California
Stefano Cresci: National Research Council (IIT-CNR)
Luca Luceri: University of Applied Sciences and Arts of Southern Switzerland (SUPSI)

Journal of Computational Social Science, 2020, vol. 3, issue 2, No 1, 277 pages

Abstract: Abstract The COVID-19 pandemic represented an unprecedented setting for the spread of online misinformation, manipulation, and abuse, with the potential to cause dramatic real-world consequences. The aim of this special issue was to collect contributions investigating issues such as the emergence of infodemics, misinformation, conspiracy theories, automation, and online harassment on the onset of the coronavirus outbreak. Articles in this collection adopt a diverse range of methods and techniques, and focus on the study of the narratives that fueled conspiracy theories, on the diffusion patterns of COVID-19 misinformation, on the global news sentiment, on hate speech and social bot interference, and on multimodal Chinese propaganda. The diversity of the methodological and scientific approaches undertaken in the aforementioned articles demonstrates the interdisciplinarity of these issues. In turn, these crucial endeavors might anticipate a growing trend of studies where diverse theories, models, and techniques will be combined to tackle the different aspects of online misinformation, manipulation, and abuse.

Keywords: Misinformation; Abuse; Social bots; Infodemics; Social media; COVID-19 (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (7)

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DOI: 10.1007/s42001-020-00094-5

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