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Synthetic Participants Generated by Large Language Models: A Systematic Literature Review

2026-03-10

Abstract excerpt

<title>Abstract</title> <p>In recent years, the prospect of Large Language Models (LLMs) for simulating participants within various research and data collection methods has been interrogated extensively. Its proponents cite aspirational promises, including high flexibility, adaptability, better representation and reduced research costs, all by leveraging the encoded wisdom of the internet crowd. Empirical studies...

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Literature Corpus work: c48578b7-5cee-5592-bd82-794228432e39
DOI: 10.21203/rs.3.rs-9057643/v1

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