The paper describes the EXIST 2025 lab on Sexism identification in social networks, that is expected to take place at the CLEF 2025 conference and represents the fifth edition of the EXIST challenge. The lab comprises nine tasks in two languages, English and Spanish, which are the same three tasks (sexism identification, source intention detection, and sexism categorization) applied to three different types of data: text (tweets), image (memes) and video (TikToks). This multimedia approach will help identify trends and patterns in sexism across media formats and user interactions, contributing to a deeper understanding of the social dynamics at play. As in EXIST 2023 and 2024, this edition will use the ‘Learning With Disagreement’ approach. The datasets for the nine tasks will include annotations from multiple annotators, showing different or even conflicting opinions. This helps models learn from diverse perspectives, making them better at understanding a range of human viewpoints, and contributing towards effective human-centric development of solutions.
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