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