Exploring Morality in Argumentation

Jonathan Kobbe, Ines Rehbein, Ioana Hulpuș, Heiner Stuckenschmidt


Abstract
Sentiment and stance are two important concepts for the analysis of arguments. We propose to add another perspective to the analysis, namely moral sentiment. We argue that moral values are crucial for ideological debates and can thus add useful information for argument mining. In the paper, we present different models for automatically predicting moral sentiment in debates and evaluate them on a manually annotated testset. We then apply our models to investigate how moral values in arguments relate to argument quality, stance and audience reactions.
Anthology ID:
2020.argmining-1.4
Volume:
Proceedings of the 7th Workshop on Argument Mining
Month:
December
Year:
2020
Address:
Online
Venues:
ArgMining | COLING
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
30–40
Language:
URL:
https://www.aclweb.org/anthology/2020.argmining-1.4
DOI:
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PDF:
http://aclanthology.lst.uni-saarland.de/2020.argmining-1.4.pdf