Text vs. graphs in argument analysis

Guilherme Carneiro, Alice Toniolo, Miguel Nacenta, Aaron John Quigley

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The ability to understand, process and evaluate arguments made by others and ourselves is important in many personal and professional spheres, such as political debates. Analysis typically appears in written form, but a growing number of tools support analysis through diagram-based graphical representations. These UIs might support better argument analysis because arguments have non-linear structures that are difficult to convey through linear text. However, there is little empirical evidence on the advantages or mechanisms that might make graph UIs superior to traditional textual documents. We ran and analyzed a study with twenty participants who used text and graph editors to analyze political debates. Our findings demonstrate the tradeoffs between the two approaches and explain key mechanisms that support the analysis in both media.
Original languageEnglish
Title of host publication2021 IEEE symposium on visual languages and human-centric computing (VL/HCC)
EditorsKyle Harms, Jácome Cunha, Steve Oney, Caitlin Kelleher
Place of PublicationPiscataway, NJ
PublisherIEEE Computer Society
Pages1-9
Number of pages9
ISBN (Electronic)9781665445924
ISBN (Print)9781665445931
DOIs
Publication statusPublished - 29 Oct 2021
Event2020 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC) - St Louis, United States
Duration: 10 Oct 202113 Oct 2021
https://conf.researchr.org/home/vlhcc-2021

Publication series

NameIEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)
PublisherIEEE
ISSN (Print)1943-6092
ISSN (Electronic)1943-6106

Conference

Conference2020 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)
Abbreviated titleVL/HCC 2021
Country/TerritoryUnited States
CitySt Louis
Period10/10/2113/10/21
Internet address

Keywords

  • Text
  • Visualisation
  • Video analysis
  • Argumentation

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