Counterfactual Probing for the Influence of Affect and Specificity on Intergroup Bias

1 code implementation • 25 May 2023 • Venkata S Govindarajan, Kyle Mahowald, David I. Beaver, Junyi Jessy Li

While existing work on studying bias in NLP focues on negative or pejorative language use, Govindarajan et al. (2023) offer a revised framing of bias in terms of intergroup social context, and its effects on language behavior.

counterfactual Specificity

How people talk about each other: Modeling Generalized Intergroup Bias and Emotion

2 code implementations • 14 Sep 2022 • Venkata S Govindarajan, Katherine Atwell, Barea Sinno, Malihe Alikhani, David I. Beaver, Junyi Jessy Li

Current studies of bias in NLP rely mainly on identifying (unwanted or negative) bias towards a specific demographic group.