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Synthetic Policymaking: Using LLM-Generated Personas to Predict Public Views on Existing and Prospective Policies in non-WEIRD Countries

2026-01-11

Abstract excerpt

<p>Large language models (LLMs) are increasingly used to create synthetic research participants. However, the ability of this technique to predict public views on concrete policy proposals, particularly in non-WEIRD (Western, educated, industrialized, rich, and democratic) contexts, remains underexplored. In this research, we examined whether synthetic participants can reproduce human responses to both existing an...

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Literature Corpus work
13141c8b-ecbe-569f-bc9d-594041a223ed
DOI
10.31234/osf.io/yjudk_v1
Open publication

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Synthetic Policymaking: Using LLM-Generated Personas to Predict Public Views on Existing and Prospective Policies in non-WEIRD CountriesDOI 10.31234/osf.io/yjudk_v1
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