The task offers a frame to study how humour is used to discriminate minorities and to analyse their interplay with the degree of prejudice expressed against specific groups. Given tweets that express prejudices, the task consists on predicting on a continuous scale from 1 to 5 to evaluate how prejudicial the messages are on average. .The tweets are in Spanish and target the following groups: women and feminists, the LGBTI+ community, immigrants and racially discriminated people, and over-weighted people.
Publication
Roberto Labadie Tamayo, Berta Chulvi, Paolo Rosso (2023) Everybody Hurts, Sometimes Overview of HUrtful HUmour at IberLEF 2023: Detection of Humour Spreading Prejudice in Twitter. Procesamiento del Lenguaje Natural, Revista nº 71, septiembre de 2023, pp. 383-395.
Language
Spanish
NLP topic
Abstract task
Dataset
Year
2023
Publication link
Ranking metric
RMSE
Task results
| System | RMSE Sort ascending |
|---|---|
| MJR-1 | 0.8930 |
| MJR-2 | 0.8930 |
| mesichiquito-1 | 0.8910 |
| cocalao-1 | 0.8900 |
| ByteMeIfYouCan-1 | 0.8870 |
| MosquitosBiased-1 | 0.8810 |
| Zeroimagination-1 | 0.8810 |
| CIC-NLP-1 | 0.8810 |
| Huhuligans-1 | 0.8740 |
| M&C-1 | 0.8550 |
