MUWS 2025: The 4th International Workshop on Multimodal Human Understanding for the Web and Social Media

摘要

Multimodal human understanding is an evolving interdisciplinary field integrating computer science, psychology, and social sciences to model human perception, behaviour, and biases in multimodal data. While recent advancements in multimodal learning excel in tasks like image-text synthesis, they often overlook nuanced human-centric dynamics---such as cultural, political, and individual influences on how modalities (e.g., text and images) interact, complement, or contradict each other. The 4th International Workshop on Multimodal Human Understanding (MUWS) aims at addressing these challenges, fostering novel solutions that explicitly model human perception, behaviour, and biases in multimodal data, with a particular emphasis on real-world challenges in web and social media analysis. This year edition covers two tracks: (1) human-centred multimodal understanding, such as quantifying social biases, analysing sentiment and hate speech, and modelling cross-modal interactions through interdisciplinary theories (e.g., semiotics, gestalt psychology); and (2) Multimodal understanding of global events, supported by a newly curated dataset covering news articles with diverse stances, which facilitates research on cultural framing, societal impact, and bias mitigation in vision-language models. The event features two keynotes from renowned experts from journalism and computer science, research presentations for six accepted papers, and interactive discussions to explore and discuss cutting-edge methodologies and applications in multimodal human understanding. The workshop proceedings can be found at: https://dl.acm.org/doi/proceedings/10.1145/3728481