Studying the COVID-19 infodemic at scale. Issue 1 (June 2021)

• Record Type: Journal Article
• Authors: Gruzd, Anatoliy; De Domenico, Manlio; Sacco, Pier Luigi; Briand, Sylvie
• Is Part Of: Big data & society. Volume 8:Issue 1(2021)
• Publication Date: 2021-06
• Subjects: Infodemic -- COVID-19 -- social media -- misinformation -- pandemic; Big data -- Social aspects -- Periodicals; Social sciences -- Research -- Data processing -- Periodicals; Social sciences -- Research -- Methodology -- Periodicals; Data mining -- Periodicals; 300.28557
• DOI: 10.1177/20539517211021115
• Languages: English
• ISSNs: 2053-9517

Abstract

This special theme issue of Big Data & Society presents leading-edge, interdisciplinary research that focuses on examining how health-related (mis-)information is circulating on social media. In particular, we are focusing on how computational and Big Data approaches can help to provide a better understanding of the ongoing COVID-19 infodemic (overexposure to both accurate and misleading information on a health topic) and to develop effective strategies to combat it.