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Darren Charles

Biographic Data

ID3650495
NAMEDarren Charles
GIVEN NAMESDarren
FAMILY NAMECharles
SIGNATURECHARLES D
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS2
AUTHOR COUNT1
EDITOR COUNT0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2021
H-INDEX1
  • Identifying how Covid-19-related misinformation reacts to the announcement of the UK national lockdown: An interrupted time-series study

    Open Access•Mark Green, Elena Musi et al.•ARTICLE•Big Data & Society•2021•Cited by: 2•References: 28

    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 announcements. Using an interrupted time-series design, we test the impact of the announcement of the first UK lockdown (8-8.30 p.m. 23 March 2020) on sh…

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

    Open Access•Mark Green, Elena Musi et al.•ARTICLE•Big Data & Society•2021•Cited by: 2•References: 28

    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 announcements. Using an interrupted time-series design, we test the impact of the announcement of the first UK lockdown (8-8.30 p.m. 23 March 2020) on sh…

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

    Open Access•Mark Green, Elena Musi et al.•ARTICLE•Big Data & Society•2021•Cited by: 2•References: 28

    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 announcements. Using an interrupted time-series design, we test the impact of the announcement of the first UK lockdown (8-8.30 p.m. 23 March 2020) on sh…

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