ArticleScientific reports2023
AI for identifying social norm violation.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- A Data Set of Synthetic Utterances for Computational Personality Analysis.Scientific data · 2024Article
- Attributions toward artificial agents in a modified Moral Turing Test.Scientific reports · 2024Article
- Social psychology: Spotting social faux pas with AI.Communications psychology · 2023Article
- A Dataset of 10,000 Situations for Research in Computational Social Sciences Psychology and the Humanities.Scientific data · 2023Article
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Authors and funding
2 authors.
Funding
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.