A proposed pipeline shows LLMs introduce detectable race and gender biases when summarizing life narratives, creating potential for representational harm in research.
A Corpus for Modeling User and Language Effects in Argumentation on Online Debating , url=
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
Bayesian ideal point model applied to 341k Debate.org votes finds conviction drives personal freedom topics while conformity drives moral conviction topics including abortion, gun rights, and global warming.
citing papers explorer
-
Whose Story Gets Told? Positionality and Bias in LLM Summaries of Life Narratives
A proposed pipeline shows LLMs introduce detectable race and gender biases when summarizing life narratives, creating potential for representational harm in research.
-
Disentangling conviction and conformity: a Bayesian ideal point model of voting behaviour in online debates
Bayesian ideal point model applied to 341k Debate.org votes finds conviction drives personal freedom topics while conformity drives moral conviction topics including abortion, gun rights, and global warming.