EXIST 2025: Sexism Identification in Social Networks
Participate in the EXIST 2025 shared task, a scientific event focused on sexism identification in social networks, and contribute to the development of automated multimodal tools.
Join the EXIST 2025 shared task, a scientific event focused on sexism identification in social networks. The task aims to develop automated multimodal tools capable of detecting sexism in text, images, and videos. Participants will be asked to classify tweets, memes, and videos according to three tasks: sexism detection, source intention, and sexism categorization.
The task organizers will provide the participants with the manually-annotated EXIST 2025 dataset. The evaluation of the systems will be based on the unlabeled test data. We encourage participation from both academic institutions and industrial organizations.
Tags: sexism identification, social networks, multimodal tools, text analysis, image analysis, video analysis, machine learning, natural language processing, computer vision, artificial intelligence