Calculating Argument Diversity in Online Threads

Open Access
Authors
Publication date 08-2021
Host editors
  • D. Gromann
  • G. Sérasset
  • T. Declerck
  • J.P. McCrae
  • J. Gracia
  • J. Bosque-Gil
  • F. Bobillo
  • B. Heinisch
Book title 3rd Conference on Language, Data and Knowledge
Book subtitle LDK 2021, September 1-3, 2021, Zaragoza, Spain
ISBN (electronic)
  • 9783959771993
Series OASIcs – OpenAccess Series in Informatics
Event 3rd Conference on Language, Data and Knowledge
Article number 39
Number of pages 9
Publisher Saarbrücken/Wadern: Schloss Dagstuhl - Leibniz-Zentrum für Informatik
Organisations
  • Faculty of Humanities (FGw) - Amsterdam Institute for Humanities Research (AIHR) - Amsterdam Center for Language and Communication (ACLC)
  • Other - Executive Staff
Abstract
We propose a method for estimating argument diversity and interactivity in online discussion threads. Using a case study on the subject of Black Pete ("Zwarte Piet") in the Netherlands, the approach for automatic detection of echo chambers is presented. Dynamic thread scoring calculates the status of the discussion on the thread level, while individual messages receive a contribution score reflecting the extent to which the post contributed to the overall interactivity in the thread. We obtain platform-specific results. Gab hosts only echo chambers, while the majority of Reddit threads are balanced in terms of perspectives. Twitter threads cover the whole spectrum of interactivity. While the results based on the case study mirror previous research, this calculation is only the first step towards better understanding and automatic detection of echo effects in online discussions.
Document type Conference contribution
Language English
Published at https://doi.org/10.4230/OASIcs.LDK.2021.39
Other links https://github.com/Cwaterschoot/Interactivity_scoring
Downloads
OASIcs-LDK-2021-39 (Final published version)
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