AI for identifying social norm violation
Yair Neuman, Yochai Cohen
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.
Topics & Concepts
Computer scienceComputational sociologyNorm (philosophy)Simple (philosophy)Data scienceArtificial intelligenceMachine learningEpistemologyPhilosophyPsychology of Moral and Emotional JudgmentExperimental Behavioral Economics StudiesMental Health Research Topics