Résumé
This workshop explores the intersection of computational and interdisciplinary approaches to analyzing online discourse, including claims, arguments, and opinions on controversial topics. With the rise of mis- and disinformation, bias, and echo chambers, NLP-based methods such as argument mining, stance detection, and fact verification have become essential. However, these tasks require robust conceptual foundations across fields like communication studies, computational linguistics, and computer science. BeyondFacts fosters collaboration among diverse research communities-including social sciences, political science, computational journalism, and computer science-to enhance machine-interpretation and analysis of societal debates using techniques from Web mining, AI, and NLP.