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Simulating Policy Discussions with Digital Footprints and Large Language Models

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Research demonstrates how large language models can mimic real parliamentary debates, indicating potential for enhanced policy discussions.

Simulated debates approximate the party composition of real debates, showing a promising alignment in utterance distribution.
Many generated statements show neutral or unclear stances, highlighting challenges in clear argument generation.
This study tests general-purpose large language models, revealing their utility in simulating complex policy discussions.
Future work aims to integrate more stakeholder voices, enhancing the model's connection to public understanding of policy.

Meng et al. (2025) studied this question.

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Research demonstrates how large language models can mimic real parliamentary debates, indicating potential for enhanced policy discussions.