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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2023-05-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-023-35350-x |
| _version_ | 1797822849172373504 |
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| author | Yair Neuman Yochai Cohen |
| author_facet | Yair Neuman Yochai Cohen |
| author_sort | Yair Neuman |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-13T10:15:23Z |
| format | Article |
| id | doaj.art-0091d2543e4c436d9db4ff01861ccf55 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-03-13T10:15:23Z |
| publishDate | 2023-05-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-0091d2543e4c436d9db4ff01861ccf552023-05-21T11:15:57ZengNature PortfolioScientific Reports2045-23222023-05-0113111410.1038/s41598-023-35350-xAI for identifying social norm violationYair Neuman0Yochai Cohen1The Functor Lab, Department of Cognitive and Brain Science, Ben-Gurion University of the NegevBen-Gurion University of the NegevAbstract 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.https://doi.org/10.1038/s41598-023-35350-x |
| spellingShingle | Yair Neuman Yochai Cohen AI for identifying social norm violation Scientific Reports |
| 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 |
| url | https://doi.org/10.1038/s41598-023-35350-x |
| work_keys_str_mv | AT yairneuman aiforidentifyingsocialnormviolation AT yochaicohen aiforidentifyingsocialnormviolation |