Many aspects of a woman's life can be the subject of sexist attitudes, such as domestic and parental roles, professional opportunities, sexual image, and life expectations, to name a few. Automatically detecting which of these aspects of women are most frequently attacked on social media will facilitate the development of policies to fight sexism. In this task, each sexist meme 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. This task includes a hard-hard evaluation, where the labels predicted by the system are compared with the labels from the gold standard.
Task results
| System | ICM Sort ascending | ICM Soft |
|---|---|---|
| DiTana-PV_1 | -0.6996 | |
| DiTana-PV_2 | -0.8450 | |
| MMICI_1 | -0.9863 | |
| ROCurve_1 | -1.0089 | |
| ROCurve_2 | -1.1075 | -0.2925 |

