Do Differences in Values Influence Disagreements in Online Discussions?
Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 15986–16008
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.
Authors 4
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Michiel van der Meer Aachen
Leiden University · Vrije Universiteit Amsterdam · Delft University of Technology
Affiliation as printed
Leiden University
CLTL Vrije Universiteit Amsterdam
Interactive Intelligence TU Delft
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Piek T. J. M. Vossen Aachen
Leiden University · Vrije Universiteit Amsterdam · Delft University of Technology
Affiliation as printed
Vrije Universiteit Amsterdam
CLTL Vrije Universiteit Amsterdam
Interactive Intelligence TU Delft
Leiden University
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Catholijn M. Jonker Aachen
Leiden University · Vrije Universiteit Amsterdam · Delft University of Technology
Affiliation as printed
Interactive Intelligence TU Delft
CLTL Vrije Universiteit Amsterdam
Leiden University
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Pradeep Kumar Murukannaiah Aachen
Leiden University · Vrije Universiteit Amsterdam · Delft University of Technology
Affiliation as printed
Interactive Intelligence TU Delft
CLTL Vrije Universiteit Amsterdam
Leiden University
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