Nowadays, misogynistic abuse online has become a serious issue due, especially, to anonymity and interactivity of the web that facilitate the increase and the permanence of the offensive comments on the web. In this paper, we present an approach based on stylistic and specific topic information for the detection of misogyny, exploring the several aspects of misogynistic Spanish and English user generated texts on Twitter. Our method has been evaluated in the framework of our participation in the AMI shared task at IberEval 2018 obtaining promising results.
Exploration of Misogyny in Spanish and English tweets
Simona FrendaFirst
;Manuel Montes-y-Gómez
2018-01-01
Abstract
Nowadays, misogynistic abuse online has become a serious issue due, especially, to anonymity and interactivity of the web that facilitate the increase and the permanence of the offensive comments on the web. In this paper, we present an approach based on stylistic and specific topic information for the detection of misogyny, exploring the several aspects of misogynistic Spanish and English user generated texts on Twitter. Our method has been evaluated in the framework of our participation in the AMI shared task at IberEval 2018 obtaining promising results.
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