Published: June 8th 2021 – Last revision: June 26th 2021
The goal of this research is to provide linguists with visualizations for analysing the results of their hate speech annotation. These visualizations consist of a set of interactive graphs for analysing the global distribution of annotated 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, constructively and argumentation, as well as with level of toxicity (’not-toxic’, ’mildly toxic’, ’toxic’ or ’very toxic’).
Media
Contributors
Universitat de Barcelona
Related Publications
Data Visualization for Supporting Linguists in the Analysis of Toxic Messages
Kavaz, E., Puig, A., Rodriguez, I., Taule, M., Nofre, M.: “Data Visualization for Supporting Linguists in the Analysis of Toxic Messages”, WSCG’2021, 29th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision held in co-operation with the EUROGRAPHICS Association, May 17 – 20, 2021