Research shows prompt framing shifts LLM political stance
Researchers from arXiv published a study titled “Framing the Narrative: Ideological Mimicry in Large Language Models.” The paper examines how political signals in user prompts influence the stance that LLMs express. Using the Poli‑SHIFT dataset, the authors evaluated seven open‑weight LLMs on ten contentious topics across the United States, United Kingdom, and Australia. They manipulated…
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Key points
- Prompt framing can reverse LLM stance in 16.9% of matched comparisons.
- Stated political ideology shifts responses toward user’s position.
- Interaction‑dependent adaptation may reinforce personalized political divisions.
Read the original at arXiv cs.CL · by Olivia Macmillan-Scott, Michael Jacobs, Nils Metternich, Mirco Musolesi primary sourceOpen source ↗
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