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cs.AI2026
Directional Hallucinations: Ideological Drift in News-Grounded LLM Question Answering
Chendi Wang, Liam Cunningham, Tom Yishay +1
Large language models (LLMs) are increasingly used to answer questions about political information, including in election-adjacent information settings where factual errors and ide…
cs.AI2026
Uncovering Political Bias in Large Language Models using Parliamentary Voting Records
Jieying Chen, Karen de Jong, Andreas Poole +4
As large language models (LLMs) become deeply embedded in digital platforms and decision-making systems, concerns about their political biases have grown. While substantial work ha…