3 papers
cs.CL2026
Invisibilization as a Source of Probability Bias in Language Models
Christian Arnold, Ernesto Calvo, Guadalupe Gonzalez +2
Language models are aligned to avoid using protected attributes such as race, ethnicity, and gender to inform their responses. Therefore, they increasingly refuse or hedge when suc…
cs.CL2024
Bias in LLMs as Annotators: The Effect of Party Cues on Labelling Decision by Large Language Models
Sebastian Vallejo Vera, Hunter Driggers
Human coders are biased. We test similar biases in Large Language Models (LLMs) as annotators. By replicating an experiment run by Ennser-Jedenastik and Meyer (2018), we find evide…
cs.CL2024
Machines Do See Color: A Guideline to Classify Different Forms of Racist Discourse in Large Corpora
Diana Davila Gordillo, Joan C. Timoneda, Sebastian Vallejo Vera
Current methods to identify and classify racist language in text rely on small-n qualitative approaches or large-n approaches focusing exclusively on overt forms of racist discours…