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 video 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. In this task, a soft-soft evaluation is considered, where the probability of each label predicted by the system is compared with the probability defined based on annotation disagreement in the gold standard.
Task results
| System | ICM Soft Sort ascending |
|---|---|
| EXISTencialCrisis_1 | -5.7131 |
| AIDONTTOKSEXISM_1 | -6.0447 |
| -6.0447 | |
| LaVellaPremium_1 | -6.2730 |
| LaVellaPremium_2 | -6.3367 |

