Do Differences in Values Influence Disagreements in Online Discussions?

Michiel van der Meer, Piek Vossen, Catholijn M. Jonker, Pradeep Murukannaiah

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

Disagreements are common in online discussions. Disagreement may foster collaboration and improve the quality of a discussion under some conditions. Although there exist methods for recognizing disagreement, a deeper understanding of factors that influence disagreement is lacking in the literature. We investigate a hypothesis that differences in personal values are indicative of disagreement in online discussions. We show how state-of-the-art models can be used for estimating values in online discussions and how the estimated values can be aggregated into value profiles. We evaluate the estimated value profiles based on human-annotated agreement labels. We find that the dissimilarity of value profiles correlates with disagreement in specific cases. We also find that including value information in agreement prediction improves performance.
Original languageEnglish
Title of host publicationProceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
EditorsHouda Bouamor, Juan Pino, Kalika Bali
PublisherACL Anthology
Pages15986-16008
Number of pages23
ISBN (Print)9798891760608
DOIs
Publication statusPublished - 2023

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