EXIST-2024: Sexism categorization in tweets (soft-soft)

Many aspects of a woman's life can be subject to 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 help develop 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. This task includes a soft-soft evaluation, where the probability of each label predicted by the system is compared with the probability defined based on the annotation disagreement in the gold standard.