Many aspects of a woman’s life can be the target of sexist attitudes, such as domestic and parental roles, professional opportunities, sexual image, and life expectations, among others. Automatically detecting which of these facets are most frequently targeted on social media will facilitate the development of policies to combat sexism. In this task, each sexist tweet must be classified into one or more of the following categories: IDEOLOGICAL AND INEQUALITY, STEREOTYPING AND DOMINANCE, OBJECTIFICATION, SEXUAL VIOLENCE, MISOGYNY AND NON-SEXUAL VIOLENCE. A hard-hard evaluation is considered, where system-predicted labels are compared with the gold standard labels.
Task results
| System | ICM Sort ascending |
|---|---|
| Mario_1 | 0.6519 |
| CIMAT-GTO_2 | 0.5413 |
| CIMAT-GTO_3 | 0.5211 |
| NLPDame_3 | 0.4842 |
| NLPDame_1 | 0.4814 |

