大型语言模型可以复现人格的跨文化差异
Large language models can replicate cross-cultural differences in personality
AI总结：
本研究通过N=8000实验发现GPT-4能复现美韩大五人格跨文化差异，但存在评分偏高、变异不足和结构效度较低的问题，初步证明LLM可辅助跨文化研究。
摘要：
我们通过一项大规模实验（N=8000）来确定GPT-4是否能够复现使用十项人格量表测量的大五人格跨文化差异。鉴于先前研究表明美国和韩国人群之间存在显著的人格差异，我们将这两个国家作为文化配对。我们操纵了模拟对象（美国人与韩国人）、量表语言（英语与韩语）以及语言模型（GPT-4与GPT-3.5）。结果显示，GPT-4在每个因子上都复现了跨文化差异。然而，与人类样本相比，平均评分存在向上偏差，变异程度较低，结构效度也较低。我们提供了初步证据，表明LLM可以辅助跨文化研究者和实践者。
英文摘要：
We use a large-scale experiment (N=8000) to determine whether GPT-4 can replicate cross-cultural differences in the Big Five, measured using the Ten-Item Personality Inventory. We used the US and South Korea as the cultural pair, given that prior research suggests substantial personality differences between people from these two countries. We manipulated the target of the simulation (US vs. Korean), the language of the inventory (English vs. Korean), and the language model (GPT-4 vs. GPT-3.5). Our results show that GPT-4 replicated the cross-cultural differences for each factor. However, mean ratings had an upward bias and exhibited lower variation than in the human samples, as well as lower structural validity. We provide preliminary evidence that LLMs can aid cross-cultural researchers and practitioners.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
