English

Measuring Harmful Representations in Scandinavian Language Models

Computation and Language 2022-11-22 v1

Abstract

Scandinavian countries are perceived as role-models when it comes to gender equality. With the advent of pre-trained language models and their widespread usage, we investigate to what extent gender-based harmful and toxic content exist in selected Scandinavian language models. We examine nine models, covering Danish, Swedish, and Norwegian, by manually creating template-based sentences and probing the models for completion. We evaluate the completions using two methods for measuring harmful and toxic completions and provide a thorough analysis of the results. We show that Scandinavian pre-trained language models contain harmful and gender-based stereotypes with similar values across all languages. This finding goes against the general expectations related to gender equality in Scandinavian countries and shows the possible problematic outcomes of using such models in real-world settings.

Cite

@article{arxiv.2211.11678,
  title  = {Measuring Harmful Representations in Scandinavian Language Models},
  author = {Samia Touileb and Debora Nozza},
  journal= {arXiv preprint arXiv:2211.11678},
  year   = {2022}
}

Comments

Accepted at the 5th workshop on Natural Language Processing and Computational Social Science (NLP+CSS) at EMNLP 2022 in Abu Dhabi, Dec 7 2022

R2 v1 2026-06-28T06:23:52.509Z