HUHU - Prejudice Target Detection

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 identifying the targeted groups on each tweet as a multi-label classification task.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.

Task results

System MacroF1
LaVellaPremium-1 0.7530
MosquitosBiased-1 0.7460
FENRIRFENIX-1 0.7410
JUJUNLP-1 0.7960
amateur37-1 0.7390
Joe-1 0.7830
Patata-2 0.7320
Ratolins-1 0.7780
RETUYT-INCO-1 0.7730
BERT 4EVER-2 0.7580

If you have published a result better than those on the list, send a message to odesia-comunicacion@lsi.uned.es indicating the result and the DOI of the article, along with a copy of it if it is not published openly.