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

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

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dc.contributor.author Melnyk, Lidiia es_ES
dc.date.accessioned 2021-12-15T08:03:28Z
dc.date.available 2021-12-15T08:03:28Z
dc.date.issued 2021-12-13
dc.identifier.uri http://hdl.handle.net/10251/178417
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. es_ES
dc.language Inglés es_ES
dc.publisher Universitat Politècnica de València es_ES
dc.relation.ispartof Journal of Computer-Assisted Linguistic Research es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Hate speech es_ES
dc.subject FastText es_ES
dc.subject Cluster es_ES
dc.title Hate speech targets in COVID-19 related comments on Ukrainian news websites es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.4995/jclr.2021.15966
dc.rights.accessRights Abierto es_ES
dc.description.bibliographicCitation Melnyk, 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.2021.15966 es_ES
dc.description.accrualMethod OJS es_ES
dc.relation.publisherversion https://doi.org/10.4995/jclr.2021.15966 es_ES
dc.description.upvformatpinicio 47 es_ES
dc.description.upvformatpfin 75 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 5 es_ES
dc.description.issue 1 es_ES
dc.identifier.eissn 2530-9455
dc.relation.pasarela OJS\15966 es_ES
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