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Computational Controversy

  • Benjamin Timmermans
  • , Tobias Kuhn
  • , Kaspar Beelen
  • , Lora Aroyo

Research output: Chapter in Book / Report / Conference proceedingChapterAcademicpeer-review

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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.
Original languageEnglish
Title of host publicationSocial Informatics
Subtitle of host publication9th International Conference, SocInfo 2017, Oxford, UK, September 13-15, 2017, Proceedings, Part II
EditorsGiovanni Luca Ciampaglia, Afra Mashhadi, Taha Yasseri
PublisherSpringer
Pages288-300
Number of pages13
Volume2
ISBN (Electronic)9783319672564
ISBN (Print)9783319672557
DOIs
Publication statusPublished - 2017

Publication series

NameLecture Notes in Computer Science
PublisherSpringer Verlag
Volume10540
ISSN (Print)0302-9743

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 13 - Climate Action
    SDG 13 Climate Action

Keywords

  • cs.CY

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