Quantifying the emergence of moral foundational lexicon in child language development

Author:

Ramezani Aida1ORCID,Liu Emmy2ORCID,Lee Spike W S34ORCID,Xu Yang15ORCID

Affiliation:

1. Department of Computer Science, University of Toronto , Toronto, ON M5S 3G4 , Canada

2. Language Technologies Institute, Carnegie Mellon University , Pittsburgh, PA 15213 , USA

3. Rotman School of Management, University of Toronto , Toronto, ON M5S 3E6 , Canada

4. Department of Psychology, University of Toronto , Toronto, ON M5S 3G3 , Canada

5. Cognitive Science Program, University of Toronto , Toronto, ON M5S 3H7 , Canada

Abstract

Abstract Theorists have argued that morality builds on several core modular foundations. When do different moral foundations emerge in life? Prior work has explored the conceptual development of different aspects of morality in childhood. Here, we offer an alternative approach to investigate the developmental emergence of moral foundations through the lexicon, namely the words used to talk about moral foundations. We develop a large-scale longitudinal analysis of the linguistic mentions of five moral foundations (in both virtuous and vicious forms) in naturalistic speech between English-speaking children with ages ranging from 1 to 6 and their caretakers. Using computational methods, we collect a dataset of 1,371 human-annotated moral utterances and automatically annotate around one million utterances in child-caretaker conversations. We discover that in childhood, words for expressing the individualizing moral foundations (i.e. Care/Harm, Fairness/Cheating) tend to emerge earlier and more frequently than words for expressing the binding moral foundations (i.e. Authority/Subversion, Loyalty/Betrayal, Purity/Degradation), and words for Care/Harm are expressed substantially more often than the other foundations. We find significant differences between children and caretakers in how often they talk about Fairness, Cheating, and Degradation. Furthermore, we show that the information embedded in childhood speech allows computational models to predict moral judgment of novel scenarios beyond the scope of child-caretaker conversations. Our work provides a large-scale documentation of the moral foundational lexicon in early linguistic communication in English and forges a new link between moral language development and computational studies of morality.

Funder

Social Sciences and Humanities Research Council

Ontario Ministry of Research, Innovation and Science

NSERC

Publisher

Oxford University Press (OUP)

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