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DC poleHodnotaJazyk
dc.contributor.authorKavaz, Ecem
dc.contributor.authorPuig, Anna
dc.contributor.authorRodriguez, Inmaculada
dc.contributor.authorTaule, Mariona
dc.contributor.authorNofre, Montserrat
dc.contributor.editorSkala, Václav
dc.date.accessioned2021-08-31T06:27:19Z
dc.date.available2021-08-31T06:27:19Z
dc.date.issued2021
dc.identifier.citationWSCG 2021: full papers proceedings: 29. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, p. 59-70.en
dc.identifier.isbn978-80-86943-34-3
dc.identifier.issn2464-4617
dc.identifier.issn2464–4625(CD/DVD)
dc.identifier.urihttp://hdl.handle.net/11025/45010
dc.format12 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencycs
dc.rights© Václav Skala - UNION Agencycs
dc.subjectvizualizace datcs
dc.subjectanotace korpusucs
dc.subjecttoxicitacs
dc.subjectprojevy nenávistics
dc.titleData Visualization for Supporting Linguists in the Analysis of Toxic Messagesen
dc.typeconferenceObjecten
dc.typekonferenční příspěvekcs
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedThe goal of this research is to provide linguists with visualisations for analysing the results of their hate speechannotation. These visualisations consist of a set of interactive graphs for analysing the global distribution ofannotated messages, finding relationships between features, and detecting inconsistencies in the annotation.We used a corpus that includes 1,262 comments posted in response to different Spanish online new articles.The comments were annotated with features such as sarcasm, mockery, insult, improper language, construc-tivity and argumentation, as well as with level of toxicity (’not-toxic’, ’mildly toxic’, ’toxic’ or ’very toxic’).We evaluated the selected visualisations with users to assess the graphs’ comprehensibility, interpretabilityand attractiveness. One of the lessons learned from the study is the usefulness of mixed visualisations that in-clude simple graphs (Bar, Heat map) - to facilitate the familiarisation with the results of the annotated corpustogether with more complex ones (Sankey, Spider or Chord) - to explore and identify relationships betweenfeatures and to find inconsistencies.en
dc.subject.translateddata visualisationen
dc.subject.translatedcorpus annotationen
dc.subject.translatedtoxicityen
dc.subject.translatedhate speechen
dc.identifier.doihttps://doi.org/10.24132/CSRN.2021.3101.7
dc.type.statusPeer-revieweden
Vyskytuje se v kolekcích:WSCG 2021: Full Papers Proceedings

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