@article{cd61253dfb4f4911b309ca0686d2c55a,
title = "AI for identifying social norm violation",
abstract = "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.",
author = "Yair Neuman and Yochai Cohen",
note = "Funding Information: This work is supported by the Defense Advanced Research Projects Agency (DARPA) via contract number HR001122C0031 (between BGU and PARC). The U.S. Government is authorized to reproduce and distribute reprints for Governmental purposes notwithstanding any copyright annotation thereon. Disclaimer: The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of DARPA or the U.S. Government. The funders had no role in study design, data collection, and analysis, decision to publish, or preparation of the manuscript. Publisher Copyright: {\textcopyright} 2023, The Author(s).",
year = "2023",
month = dec,
day = "1",
doi = "10.1038/s41598-023-35350-x",
language = "English",
volume = "13",
journal = "Scientific Reports",
issn = "2045-2322",
publisher = "Nature Publishing Group",
number = "1",
}