Distributional Validity of a Korean Synthetic Persona Panel: Evidence From the Korea Media Panel Survey
Large language model (LLM) personas are proposed as survey respondents, yet validation outside English-speaking contexts is scarce. We evaluate how well a Korean synthetic persona panel used to condition Gemini 3.5 Flash and EXAONE reproduces digital and artificial intelligence (AI) service-use distributions of the Korea Media Panel Survey. About 8,000 personas per model answered eight service-use items and eight attitudinal constructs; responses were compared with weighted survey estimates. The overall mean absolute error (MAE) was 14-19 percentage points (pp), with binary item-mean correlations of 0.70-0.91 across waves. Segment error across five axes was 14-18 pp, with between-group si...
| Authors | Howard Kim, Keuntae Cho |
|---|---|
| Primary category | cs.CY |
| Published | 23 July 2026 |
| Last updated at source | 1 October 2026 |
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