A Multidimensional Computational Analysis of Dehumanization in Incel Discourse
Paper presented at ICWSM 2026 in the Toxic Counterpublics session. The study introduces a theory-informed, multidimensional computational analysis of gendered dehumanization in incel discourse, comparing women- and men-associated terms across negative evaluation, moral disgust, animalistic framing, mind denial, and agency denial.
May 27, 2026
A Multidimensional Computational Analysis of Dehumanization in Incel Discourse
We present a theory-informed, multidimensional computational analysis of whether incel communities dehumanize women and men differently across five dimensions of dehumanizing language.
May 25, 2026
Threshold-Calibrated Word Sense Disambiguation: Semantic Broadening Without Sense Redistribution in Schizophrenia
A sense-tracking study presented at LChange'26 Workshop (EACL) introducing a threshold-calibrated, prototype-based pipeline for tracking word sense prevalence in historical U.S. news articles.
Mar 28, 2026
Invited Talk - Dimensions of Semantic Change: Validation and Application of the SIBling Framework
An invited talk at the National Research Council Canada on SIBling and LSC-Eval as complementary frameworks for modeling and evaluating semantic change across time.
Sep 24, 2025
Invited Talk - Dimensions of Semantic Change: Validation and Application of the SIBling Framework
A research talk at Change is Key! Conference (University of Gothenburg, Dept. of Philosophy, Linguistics & Theory of Science) on applying SIBling and LSC-Eval to trace semantic shifts in mental health concepts in historical corpora.
Sep 12, 2025
LSC-Eval: A General Framework to Evaluate Methods for Assessing Dimensions of Lexical Semantic Change Using LLM-Generated Synthetic Data
Poster presented at ACL 2025. An evaluation framework that generates historical synthetic benchmark datasets for testing whether semantic change methods are sensitive to detecting the kinds of change they claim to measure.
Jul 28, 2025
SIBling: A Multidimensional Framework for Evaluating Lexical Semantic Change with Social Science Applications
Poster presented at IC2S2 2025. The paper proposes SIBling, a three-dimensional computational linguistic framework for evaluating lexical semantic change across Sentiment, Intensity, and Breadth, illustrated through an analysis of how 'mental health' and 'mental illness' have shifted in meaning across two corpora.
Jul 2, 2025
A Multidimensional Framework for Evaluating Lexical Semantic Change with Social Science Applications
The foundational SIBling presentation, introducing a multidimensional framework for modeling lexical semantic change across Sentiment, Intensity, and Breadth.
Aug 14, 2024