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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2021
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2021
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2021
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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https://doi.org/10.5281/zenodo...
Dataset . 2021
License: CC BY
Data sources: Sygma
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https://doi.org/10.5281/zenodo...
Dataset . 2021
License: CC BY
Data sources: Sygma
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Smithsonian figshare
Dataset . 2021
License: CC BY
Data sources: Bielefeld Academic Search Engine (BASE)
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Smithsonian figshare
Dataset . 2021
License: CC BY
Data sources: Bielefeld Academic Search Engine (BASE)
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Smithsonian figshare
Dataset . 2021
License: CC BY
Data sources: Bielefeld Academic Search Engine (BASE)
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Claim

Twitter analysis of the five main political leaders during the 2019 UK electoral campaign: from 12 October to 16 December 2019

Research datakeyboard_double_arrow_right Dataset 07 Jan 2021 English Publisher:ZenodoFunded by:EC | POSTBREXIT
Authors: Luca, Marino De;

doi: 10.5281/zenodo.4444780 , 10.5281/zenodo.4444779 , 10.5281/zenodo.4444775 , 10.5281/zenodo.4444774

Twitter analysis of the five main political leaders during the 2019 UK electoral campaign: from 12 October to 16 December 2019

Abstract

The analysis was conducted from 12 October to 16 December 2019 on Twitter through the study of the five main political leaders— Boris Johnson, Jeremy Corbyn, Jo Swinson, Nicola Sturgeon, and Nigel Farage — during the 2019 UK electoral campaign.

Related Organizations
Keywords

people, Populism, Mental Health, Science Policy, Immunology, Twitter, Politics, UK elections, Biotechnology, Biological Sciences not elsewhere classified

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Average
    OpenAIRE UsageCounts
    Usage byUsageCounts
    visibility views 4
    download downloads 1
  • 4
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visibility
download
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
0
Average
Average
Average
4
1
Related to Research communities
Science and Innovation Policy Studies