Article

Use of LLMs for Generating Synthetic ARDs to Make Estimates in Electoral Processes

2026-08-14

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<title>Abstract</title> <p>Context: Accurately estimating electoral results remains a challenge in political science due to response biases in traditional direct surveys. Indirect survey techniques, which infer voting intentions from respondents’ social networks, have emerged as a promising alternative by reducing response bias and improving scalability. In parallel, large language models (LLMs) have shown a rema...

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Literature Corpus work: 4783aa89-3145-5709-8a50-f9fc3d523cf3
DOI: 10.21203/rs.3.rs-10534310/v1

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