A survey on modelling morality for text analysis


Reinig, Ines ; Becker, Maria ; Rehbein, Ines ; Ponzetto, Simone Paolo


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URL: https://aclanthology.org/2024.findings-acl.245
URN: urn:nbn:de:bsz:180-madoc-676893
Document Type: Conference or workshop publication
Year of publication: 2024
Book title: Findings of the Association for Computational Linguistics ACL 2024, 62nd annual meeting of the Association for Computational Linguistics (ACL 2024) : Proceedings of the conference, August 11-16, 2024
Page range: 4136-4155
Conference title: The 62nd Annual Meeting of the Association for Computational Linguistics 2024
Location of the conference venue: Bangkok, Thailand
Date of the conference: 11.-16.08.2024
Publisher: Ku, Lun-Wei ; Martins, Andre ; Srikumar, Vivek
Place of publication: Kerrville, TX
Publishing house: Association for Computational Linguistics (ACL)
ISBN: 979-8-89176-099-8
Related URLs:
Publication language: English
Institution: School of Business Informatics and Mathematics > Sonstige - Fakultät für Wirtschaftsinformatik und Wirtschaftsmathematik
School of Business Informatics and Mathematics > Information Systems III: Enterprise Data Analysis (Ponzetto 2016-)
License: CC BY 4.0 Creative Commons Attribution 4.0 International (CC BY 4.0)
Subject: 004 Computer science, internet
Keywords (English): morality, text analysis
Abstract: In this survey, we provide a systematic review of recent work on modelling morality in text, an area of research that has garnered increasing attention in recent years. Our survey is motivated by the importance of modelling decisions on the created resources, the models trained on these resources and the analyses that result from the models’ predictions. We review work at the interface of NLP, Computational Social Science and Psychology and give an overview of the different goals and research questions addressed in the papers, their underlying theoretical backgrounds and the methods that have been applied to pursue these goals. We then identify and discuss challenges and research gaps, such as the lack of a theoretical framework underlying the operationalisation of morality in text, the low IAA reported for manyhuman-annotated resulting resources and the lack of validation of newly proposed resources and analyses.




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