The Open UniversitySkip to content

Improving online deliberation with argument network visualization

De Liddo, Anna and Buckingham Shum, Simon (2013). Improving online deliberation with argument network visualization. In: Digital Cities 8, 29 Jun - 02 Jul 2013, Munich, Germany.

Full text available as:
PDF (Version of Record) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (593kB) | Preview
Google Scholar: Look up in Google Scholar


Social media are increasingly used to support online debate and facilitate citizens’ engagement in policy and decision-making. Nevertheless the online dialogue spaces we see on the Web today typically provide flat listings of comments, or threads that can be viewed by ‘subject’ line. These are fundamentally chronological views which offer no insight into the logical structure of the ideas, such as the coherence or evidential basis of an argument. This hampers both quality of users’ participation and effective assessment of the state of the debate. We report on an exploratory study in which we observed users interaction with a collective intelligence tool for online deliberation and compared network and threaded visualizations of arguments. We contend that animated argument networks enhance online debate reading when data complexity increases, improve understanding of the argumentation data model and promote users engagement by improving users emotional reactions to the online discussion tool.

Item Type: Conference or Workshop Item
Copyright Holders: 2013 The Authors
Extra Information: 6th International Conference on Communities and Technologies
Keywords: collective intelligence; argumentation; online deliberation; visualization; evaluation
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Research Group: Centre for Research in Computing (CRC)
Related URLs:
Item ID: 38003
Depositing User: Kay Dave
Date Deposited: 16 Jul 2013 08:47
Last Modified: 18 Jun 2020 15:51
Share this page:

Download history for this item

These details should be considered as only a guide to the number of downloads performed manually. Algorithmic methods have been applied in an attempt to remove automated downloads from the displayed statistics but no guarantee can be made as to the accuracy of the figures.

Actions (login may be required)

Policies | Disclaimer

© The Open University   contact the OU