Hate speech targets in COVID-19 related comments on Ukrainian news websites

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dc.contributor.authorMelnyk, Lidiiaes_ES
dc.date.accessioned2021-12-15T08:03:28Z
dc.date.available2021-12-15T08:03:28Z
dc.date.issued2021-12-13
dc.description.abstract[EN] The research focuses on hate speech in the comments section of Ukrainian news websites. Restricted to solely COVID-19 related comments, it seeks to analyze the development of hate speech rates throughout the pandemic. Using a semi-automated machine-learning-aided approach, the paper identifies hate speech in the comments and defines its main targets. The research shows that a crisis like the COVID-19 pandemic can strengthen existing negative stereotypes and gives rise to new forms of stigmatization against social and ethnic groups.en_EN
dc.description.accrualMethodOJSes_ES
dc.description.bibliographicCitationMelnyk, L. (2021). Hate speech targets in COVID-19 related comments on Ukrainian news websites. Journal of Computer-Assisted Linguistic Research. 5(1):47-75. https://doi.org/10.4995/jclr.2021.15966es_ES
dc.description.issue1es_ES
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dc.description.upvformatpfin75es_ES
dc.description.upvformatpinicio47es_ES
dc.description.volume5es_ES
dc.identifier.doi10.4995/jclr.2021.15966
dc.identifier.eissn2530-9455
dc.identifier.urihttps://riunet.upv.es/handle/10251/178417
dc.languageIngléses_ES
dc.publisherUniversitat Politècnica de Valènciaes_ES
dc.relation.ispartofJournal of Computer-Assisted Linguistic Researches_ES
dc.relation.pasarelaOJS\15966es_ES
dc.relation.publisherversionhttps://doi.org/10.4995/jclr.2021.15966es_ES
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dc.rightsReconocimiento - No comercial - Sin obra derivada (by-nc-nd)es_ES
dc.rights.accessRightsAbiertoes_ES
dc.subjectHate speeches_ES
dc.subjectFastTextes_ES
dc.subjectClusteres_ES
dc.titleHate speech targets in COVID-19 related comments on Ukrainian news websiteses_ES
dc.typeArtículoes_ES
dc.type.versioninfo:eu-repo/semantics/publishedVersiones_ES
dspace.entity.typePublication
upv.uuid1f87bcea-ab9d-45c2-b7c8-7b8796fa8f6aes_ES

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Journal of Computer-Assisted Linguistic Research - Vol 05 (2021)
Colección especial COVID-19