AI for identifying social norm violation

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...

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Detalles Bibliográficos
Autores principales: Neuman, Yair, Cohen, Yochai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10199061/
https://www.ncbi.nlm.nih.gov/pubmed/37208396
http://dx.doi.org/10.1038/s41598-023-35350-x
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author Neuman, Yair
Cohen, Yochai
author_facet Neuman, Yair
Cohen, Yochai
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description 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.
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spelling pubmed-101990612023-05-21 AI for identifying social norm violation Neuman, Yair Cohen, Yochai Sci Rep Article 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. Nature Publishing Group UK 2023-05-19 /pmc/articles/PMC10199061/ /pubmed/37208396 http://dx.doi.org/10.1038/s41598-023-35350-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Neuman, Yair
Cohen, Yochai
AI for identifying social norm violation
title AI for identifying social norm violation
title_full AI for identifying social norm violation
title_fullStr AI for identifying social norm violation
title_full_unstemmed AI for identifying social norm violation
title_short AI for identifying social norm violation
title_sort ai for identifying social norm violation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10199061/
https://www.ncbi.nlm.nih.gov/pubmed/37208396
http://dx.doi.org/10.1038/s41598-023-35350-x
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