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Charlott Jakob

1 accepted papers

2025

PolBiX: Detecting LLMs’ Political Bias in Fact-Checking through X-phemisms

EMNLP 2025

Large Language Models are increasingly used in applications requiring objective assessment, which could be compromised by political bias. Many studies found preferences for left-leaning positions in LLMs, but downstream effects on tasks like fact-checking remain underexplored. In this study, we syst