| Title: | Data Visualization for Supporting Linguists in the Analysis of Toxic Messages |
| Authors: | Kavaz, Ecem Puig, Anna Rodriguez, Inmaculada Taule, Mariona Nofre, Montserrat |
| Citation: | WSCG 2021: full papers proceedings: 29. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, p. 59-70. |
| Issue Date: | 2021 |
| Publisher: | Václav Skala - UNION Agency |
| Document type: | conferenceObject konferenční příspěvek |
| URI: | http://hdl.handle.net/11025/45010 |
| ISBN: | 978-80-86943-34-3 |
| ISSN: | 2464-4617 2464–4625(CD/DVD) |
| Keywords: | vizualizace dat;anotace korpusu;toxicita;projevy nenávisti |
| Keywords in different language: | data visualisation;corpus annotation;toxicity;hate speech |
| Abstract in different language: | The 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. |
| Rights: | © Václav Skala - UNION Agency |
| Appears in Collections: | WSCG 2021: Full Papers Proceedings |
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