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Identifying how COVID-19-related misinformation reacts to t..:
Green, Mark
;
Musi, Elena
;
Rowe, Francisco
...
Big Data & Society. 8 (2021) 1 - p. 205395172110138 , 2021
Link:
https://doi.org/10.1177/20539517211013869
RT Journal T1
Identifying how COVID-19-related misinformation reacts to the announcement of the UK national lockdown: An interrupted time-series study
UL https://suche.suub.uni-bremen.de/peid=cr-10.1177_20539517211013869&Exemplar=1&LAN=DE A1 Green, Mark A1 Musi, Elena A1 Rowe, Francisco A1 Charles, Darren A1 Pollock, Frances Darlington A1 Kypridemos, Chris A1 Morse, Andrew A1 Rossini, Patricia A1 Tulloch, John A1 Davies, Andrew A1 Dearden, Emily A1 Maheswaran, Henrdramoorthy A1 Singleton, Alex A1 Vivancos, Roberto A1 Sheard, Sally PB SAGE Publications YR 2021 SN 2053-9517 SN 2053-9517 JF Big Data & Society VO 8 IS 1 SP 205395172110138 LK http://dx.doi.org/https://doi.org/10.1177/20539517211013869 DO https://doi.org/10.1177/20539517211013869 SF ELIB - SuUB Bremen
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