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Calculating Argument Diversity in Online Threads

Authors :
Waterschoot, C.
van den Bosch, A.
van den Hemel, E.
Gromann, D.
Sérasset, G.
Declerck, T.
McCrae, J.P.
Gracia, J.
Bosque-Gil, J.
Bobillo, F.
Heinisch, B.
ACLC (FGw)
Bestuursstaf
Source :
3rd Conference on Language, Data and Knowledge: LDK 2021, September 1-3, 2021, Zaragoza, Spain, 3rd Conference on Language, Data and Knowledge
Publication Year :
2021

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.<br />OASIcs, Vol. 93, 3rd Conference on Language, Data and Knowledge (LDK 2021), pages 39:1-39:9

Details

Language :
English
Database :
OpenAIRE
Journal :
3rd Conference on Language, Data and Knowledge: LDK 2021, September 1-3, 2021, Zaragoza, Spain, 3rd Conference on Language, Data and Knowledge
Accession number :
edsair.doi.dedup.....64c861677138ac5995c297a28398e168
Full Text :
https://doi.org/10.4230/oasics.ldk.2021.39