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Dataset . 2022
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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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Dataset . 2022
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Net-activism and whistleblowing dataset from Youtube

Authors: Nicolas TURENNE;

Net-activism and whistleblowing dataset from Youtube

Abstract

Files contained in this archive is about net activism and whistleblowing version 1 Documents of this dataset have been downloaded from Youtube mainly in 2015 with an update in 2018. Please cite usage of this dataset by Turenne N Net activism and whistleblowing on YouTube: a text mining analysis (2022).

grant from CNRS French National Centre for Scientific Research , PEPS-2015

Keywords

machine learning, social media, computational social science, whistleblowing, natural language processing

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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
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