Automatic Expansion of Lexicons for Multilingual Misogyny Detection
Simona Frenda, Bilal Ghanem, Estefanía Guzmán-Falcón, Manuel Montes-y-Gómez, Luis Villaseñor-Pineda · Accademia University Press eBooks · 2018
The automatic misogyny identification (AMI) task proposed at IberEval and EVALITA 2018 is an example of the active involvement of scientific Research to face up the online spread of hate contents against women. Considering the encouraging results obtained for Spanish and English in the precedent edition of AMI, in the EVALITA framework we tested the robustness of a similar approach based on topic and stylistic information on a new collection of Italian and English tweets. Moreover, to deal with the dynamism of the language on social platforms, we also propose an approach based on automatically-enriched lexica. Despite resources like the lexica prove to be useful for a specific domain like misogyny, the analysis of the results reveals the limitations of the proposed approaches.