Computational Controversy

Benjamin Timmermans, Tobias Kuhn, Kaspar Beelen, Lora Aroyo

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

Climate change, vaccination, abortion, Trump: Many topics are surrounded by fierce controversies. The nature of such heated debates and their elements have been studied extensively in the social science literature. More recently, various computational approaches to controversy analysis have appeared, using new data sources such as Wikipedia, which help us now better understand these phenomena. However, compared to what social sciences have discovered about such debates, the existing computational approaches mostly focus on just a few of the many important aspects around the concept of controversies. In order to link the two strands, we provide and evaluate here a controversy model that is both, rooted in the findings of the social science literature and at the same time strongly linked to computational methods. We show how this model can lead to computational controversy analytics that have full coverage over all the crucial aspects that make up a controversy.
LanguageEnglish
JournalLecture Notes in Computer Science
Volume10540
DOIs
StatePublished - 23 Jun 2017

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Social sciences
Social Sciences
Wikipedia
Vaccination
Climate Change
Computational methods
Climate change
Computational Methods
Coverage
Evaluate
Model

Bibliographical note

In: Ciampaglia G., Mashhadi A., Yasseri T. (eds) Social Informatics. SocInfo 2017. Lecture Notes in Computer Science, vol 10540. Springer, Cham / Print ISBN 978-3-319-67255-7 Online ISBN 978-3-319-67256-4

Keywords

  • cs.CY

Cite this

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title = "Computational Controversy",
abstract = "Climate change, vaccination, abortion, Trump: Many topics are surrounded by fierce controversies. The nature of such heated debates and their elements have been studied extensively in the social science literature. More recently, various computational approaches to controversy analysis have appeared, using new data sources such as Wikipedia, which help us now better understand these phenomena. However, compared to what social sciences have discovered about such debates, the existing computational approaches mostly focus on just a few of the many important aspects around the concept of controversies. In order to link the two strands, we provide and evaluate here a controversy model that is both, rooted in the findings of the social science literature and at the same time strongly linked to computational methods. We show how this model can lead to computational controversy analytics that have full coverage over all the crucial aspects that make up a controversy.",
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Computational Controversy. / Timmermans, Benjamin; Kuhn, Tobias; Beelen, Kaspar; Aroyo, Lora.

In: Lecture Notes in Computer Science, Vol. 10540, 23.06.2017.

Research output: Contribution to JournalArticleAcademicpeer-review

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AU - Timmermans,Benjamin

AU - Kuhn,Tobias

AU - Beelen,Kaspar

AU - Aroyo,Lora

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AB - Climate change, vaccination, abortion, Trump: Many topics are surrounded by fierce controversies. The nature of such heated debates and their elements have been studied extensively in the social science literature. More recently, various computational approaches to controversy analysis have appeared, using new data sources such as Wikipedia, which help us now better understand these phenomena. However, compared to what social sciences have discovered about such debates, the existing computational approaches mostly focus on just a few of the many important aspects around the concept of controversies. In order to link the two strands, we provide and evaluate here a controversy model that is both, rooted in the findings of the social science literature and at the same time strongly linked to computational methods. We show how this model can lead to computational controversy analytics that have full coverage over all the crucial aspects that make up a controversy.

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