Warmth (W) (often further broken down into Trust (T) and Sociability (S)) and Competence (C) are central dimensions along which people evaluate individuals and social groups (Fiske, 2018). While these...

LChange'26 is the sixth workshop for computational approaches to language change with the focus on digital text corpora. Come join us for this exciting adventure!

Research Interns put inquiry and theory into practice. Alongside fellow doctoral candidates and some of the world's best researchers, Research Interns learn, collaborate, and network for life. Researc...

LChange'26 is the sixth workshop for computational approaches to language change with the focus on digital text corpora. Come join us for this exciting adventure!

LChange'26 is the sixth workshop for computational approaches to language change with the focus on digital text corpora. Come join us for this exciting adventure!

*SEM2025 may be able to accommodate presentation of relevant papers accepted for Findings of EMNLP 2025. Please refer to the *SEM2025 CFP to ensure your paper is relevant. The deadline for applicati...

Dimensions of Semantic Change: Applying the SIBling Framework to Mental Health Concepts Invited by: Dr. Pablo Mosteiro Romero: https://www.uu.nl/staff/PJMosteiroRomero Location: Natural Language and Text Processing Lab, University of Utrecht: https://nlp.sites.uu.nl/ Promotion: https://nlp.sites.uu.nl/2025/09/11/nltp-content-meetings-september-16-dimensions-of-semantic-change-applying-the-sibling-framework-to-mental-health-concepts-by-naomi-baes/ Title: Dimensions of Semantic Change: Applying the SIBling Framework to Mental Health Concepts Abstract: Lexical semantic change takes many forms, yet existing approaches often examine them in isolation. I present SIBling, a three-dimensional framework for modelling semantic change through shifts in (1) Sentiment (the valence of a word’s contexts), (2) Intensity (emotional arousal or the use of intensifiers), and (3) Breadth (the diversity of contexts in which a word appears). Together, these dimensions provide an integrated and computationally efficient way of mapping how the meanings of concepts evolve over time. I illustrate the framework with case studies of mental health related concepts, showing how they have broadened, intensified, or shifted in sentiment across decades of text. These results illuminate cultural trends such as pathologization, stigma, and concept creep, demonstrating how the SIBling toolkit captures capture socially significant conceptual change. Main publications the presentation is based on: 1. Naomi Baes, Nick Haslam, and Ekaterina Vylomova. 2024. A Multidimensional Framework for Evaluating Lexical Semantic Change with Social Science Applications. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1390–1415, Bangkok, Thailand. Association for Computational Linguistics. 2. Naomi Baes, Raphael Merx, Nick Haslam, Ekaterina Vylomova, and Haim Dubossarsky. 2025. LSC-Eval: A General Framework to Evaluate Methods for Assessing Dimensions of Lexical Semantic Change Using LLM-Generated Synthetic Data. In Findings of the Association for Computational Linguistics: ACL 2025, pages 10905–10939, Vienna, Austria. Association for Computational Linguistics. - Download as a PDF or view online for free

The rise of a three-pronged politics of unreason.

Come and learn about computational modeling of linguistic, cultural and social change. Welcome to a full-day conference at Humanisten, organized by the research project Change is Key! We will present ...

YouTube video by Institute for Analytical Sociology

Welcome to the OpenReview homepage for StarSEM 2025 ARR Commitment

Podcasts provide highly diverse content to a massive listener base through a unique on-demand modality. However, limited data has prevented large-scale computational analysis of the podcast ecosystem....