The corpus contains prejudiced tweets in Spanish annotated with the presence of humour, its prejudice degree and the targeted groups: women and feminists, the LGBTI+ community, immigrants and racially discriminated people, and over-weighted people.
Language(s)
Spanish
Year
2023
Domain
Social
Text types
Tweets
Annotations
Binary label indicating whether a prejudicial tweet is intended to cause humour, multiclass label indicating the targeted groups on each tweet (Women and feminists, LGBTIQ community and Immigrants, racially discriminated people, over-weighted people) degree of prejudice
Data access
Registration
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.
NLP Topic
Number of units
3449
Type of units
Tweets
Training set size
2671
Test set size
778
