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A survey on moral foundation theory and pre-trained language models

Current advances and challenges

Dados Bibliográficos

ID20399146
AutoresLorenzo Zangari (0009-0009-9057-1299, University of Calabria), Candida M Greco (0009-0004-2902-533X, University of Calabria, autor correspondente), Davide Picca (0000-0003-2014-0855, University of Lausanne), Andrea Tagarelli (0000-0002-8142-503X, University of Calabria)
Ano2025
Volume40
Fascículo6
Páginas4973-4998
Data de publicação2025-08-01
Open AccessSim
TipoARTICLE
PeriódicoAI & Society (JOURNAL)
Identificadores do periódicoISSN: 0951-5666 • E-ISSN: 1435-5655
EditoraSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1007/s00146-025-02225-w
OpenAlexW4408799105
IdiomaEN
Citações recebidas1
Referências citadas89

Moral values have deep roots in early civilizations, codified within norms and laws that regulated societal order and the common good. They play a crucial role in understanding the psychological basis of human behavior and cultural orientation. The moral foundation theory (MFT) is a well-established framework that identifies the core moral foundations underlying the manner in which different cultures shape individual and social lives. Recent advancements in natural language processing, particularly pre-trained language models (PLMs), have enabled the extraction and analysis of moral dimensions from textual data. This survey presents a comprehensive review of MFT-informed PLMs, providing an analysis of moral tendencies in PLMs and their application in the context of MFT. We also review relevant datasets and lexicons and discuss trends, limitations, and future directions. By providing a structured overview of the intersection between PLMs and MFT, this work bridges moral psychology insights within the realm of PLMs, paving the way for further research and development in creating morally aware AI systems

Archaeology · Art · Cognitive science · Electrical engineering · Engineering ethics · Epistemology · Geography · Linguistics · Performing arts · Visual arts · Computer Science · Engineering · Misinformation and Its Impacts · Philosophy · Psychology · Psychology of Moral and Emotional Judgment · Topic Modeling

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Citações por ano1
Intervalo de citações2026 - 2026 (1)
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