Simulating the people's voice: Leveraging algorithmic fidelity to assess ChatGPT's performance in modeling public opinion on Chinese government policies.
ShaoPeng Che|Min Zhu|Shunan Zhang|Hae Sun Jung|Haein Lee|Zhixiao Wang|Lee Miller
| Anthology ID: | DBLP:journals/ipm/CheZZJLWM26 |
|---|---|
| Year: | 2026 |
| Venue: | Information Processing and Management |
| Pages: | 104567 |
| URL: | https://doi.org/10.1016/J.IPM.2025.104567 |
| DOI: | https://doi.org/10.1016/J.IPM.2025.104567 |
| DBLP: | journals/ipm/CheZZJLWM26 |
| BibTeX: |
@article{che-2026-simulating,
author = {ShaoPeng Che and
Min Zhu and
Shunan Zhang and
Hae Sun Jung and
Haein Lee and
Zhixiao Wang and
Lee Miller},
title = {{Simulating the people's voice: Leveraging algorithmic fidelity to assess ChatGPT's performance in modeling public opinion on Chinese government policies}},
journal = {Information Processing and Management},
volume = {63},
number = {4},
pages = {104567},
year = {2026},
url = {https://doi.org/10.1016/J.IPM.2025.104567},
doi = {https://doi.org/10.1016/J.IPM.2025.104567}
}