HOMO-MEX: Hate speech detection

The task aims at classifying tweets according to whether they exhibit LGBT+phobic content or not, i.e. to classify them as LGBT+phobic (P), not LGBT+phobic (NP) or not LGBT+related (NA).

Gemma Bel-Enguix, Helena Gómez-Adorno, Gerardo Sierra, Juan Vásquez, Scott Thomas Andersen, Sergio Ojeda-Trueba (2023) Overview of HOMO-MEX at Iberlef 2023: Hate speech detection in Online Messages directed Towards the MEXican Spanish speaking LGBTQ+ population. Procesamiento del Lenguaje Natural, Revista nº 71, septiembre de 2023, pp. 361-370.

Task results

System MacroF1
UMUTeam 0.8421
mesay 0.6868
I2C 0.8325
UMUTeam 0.6338
mesay 0.7967
cesar m 0.5679
Marrugo 0.7705
cesar m 0.7635
LIDOMA 0.7326
Rivadeneria 0.6843

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.