The Functor Lab, Department of Cognitive and Brain Science, Ben-Gurion University of the Negev, 84105, Beersheba, Israel.
Ben-Gurion University of the Negev, Beer-Sheba, Israel.
Sci Rep. 2023 May 19;13(1):8103. doi: 10.1038/s41598-023-35350-x.
Identifying social norms and their violation is a challenge facing several projects in computational science. This paper presents a novel approach to identifying social norm violations. We used GPT-3, zero-shot classification, and automatic rule discovery to develop simple predictive models grounded in psychological knowledge. Tested on two massive datasets, the models present significant predictive performance and show that even complex social situations can be functionally analyzed through modern computational tools.
识别社会规范及其违反是计算科学领域的几个项目所面临的挑战。本文提出了一种识别社会规范违反的新方法。我们使用 GPT-3、零样本分类和自动规则发现,基于心理学知识开发了简单的预测模型。在两个大规模数据集上进行测试,这些模型表现出显著的预测性能,表明即使是复杂的社会情况也可以通过现代计算工具进行功能分析。