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Directional Hallucinations: Ideological Drift in News-Grounded LLM Question Answering
Large language models (LLMs) are increasingly used to answer questions about political information, including in election-adjacent information settings where factual errors and ideological distortions are high-stakes. We present a reproducible measurement framework that treats hallucinations, unsupp
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