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Dataset . 2019
Data sources: Datacite
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Dataset . 2019
Data sources: Datacite
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Dataset . 2019
Data sources: Datacite
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Hate speech and personal attack dataset in Greek social media

Authors: Charitidis, Polychronis; Doropoulos, Stavros; Vologiannidis, Stavros; Papastergiou, Ioannis; Karakeva, Sophia;

Hate speech and personal attack dataset in Greek social media

Abstract

This dataset contains 60434 Greek tweet ids and corresponding annotations for Personal Attack and Hate Speech labels. The creation of this dataset was part of the project DACHS “A Data-driven Approach to Countering Hate Speech” funded by the Rights, Equality and Citizenship Programme of the European Union.

Related Organizations
Keywords

Twitter, Hate Speech, Personal Attack, Supervised Machine Learning, Social media networks

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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.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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