Identifying how COVID-19-related misinformation reacts to the announcement of the UK national lockdown: An interrupted time-series study

Identifying how COVID-19-related misinformation reacts to the announcement of the UK national lockdown: An interrupted time-series study

COVID-19 is unique in that it is the first global pandemic occurring amidst a crowded information environment that has facilitated the proliferation of misinformation on social media. Dangerous misleading narratives have the potential to disrupt ‘official’ information sharing at major government ann...

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Bibliographic Details
Main Authors: Mark Green, Elena Musi, Francisco Rowe, Darren Charles, Frances Darlington Pollock, Chris Kypridemos, Andrew Morse, Patricia Rossini, John Tulloch, Andrew Davies, Emily Dearden, Henrdramoorthy Maheswaran, Alex Singleton, Roberto Vivancos, Sally Sheard
Format: Article
Language:English
Published: SAGE Publishing 2021-05-01
Series:Big Data & Society
Online Access:https://doi.org/10.1177/20539517211013869

Internet

https://doi.org/10.1177/20539517211013869

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