Abstract | ||
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Web 2.0 technologies, such as forums and wikis, are enabling an explosion of global knowledge sharing through distributed large-scale conversations, but they seem to be less successful at supporting collaborative deliberation around complex and controversial questions. In order to cope with this limitation, many scholars have proposed to adopt on-line argumentation platforms to improve information visualization, organization and reuse. However, such research has mostly focused on the design of adequate argument-based knowledge formalisms. Less attention has been paid to the empirical analysis of actual interactions mediated by argumentation technology with reasonably large user communities. In this paper, we present an in-depth analysis of the data obtained in the empirical test of an argumentation platform where a 160-member community created, in 3weeks, what is to our knowledge the largest single online argument map ever built (around 5000 posts). Our results show that (i) users were able to quickly and comprehensively explore and map the debate on the selected discussion topic; (ii) substantial moderation was needed to ensure that the argument map was well-organized and users were confident with the argumentation formalism; (iii) considerable out-of-the map communication occurred, possibly as a way to allow for conversational flows inhibited by the argumentation formalism, (iv) formal rating of contributions favored exploration of the map, understanding the debate structure, and improving the quality of content. |
Year | DOI | Venue |
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2010 | 10.1016/j.ins.2010.06.011 | Inf. Sci. |
Keywords | Field | DocType |
debate structure,mediating debate,global knowledge sharing,on-line argumentation platform,argumentation formalism,empirical analysis,argumentation technology,argument map,argumentation platform,adequate argument-based knowledge formalisms,on-line large-scale argumentation,considerable out-of-the map communication,information visualization,collective intelligence | Deliberation,Information visualization,Knowledge sharing,Collective intelligence,Computer science,Argumentation theory,Knowledge management,Artificial intelligence,Formalism (philosophy),Argument map,Machine learning,Empirical research | Journal |
Volume | Issue | ISSN |
180 | 19 | 0020-0255 |
Citations | PageRank | References |
21 | 1.30 | 20 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
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Ali Gürkan | 1 | 22 | 1.98 |
Luca Iandoli | 2 | 60 | 8.13 |
Mark M. Klein | 3 | 1550 | 187.52 |
Giuseppe Zollo | 4 | 43 | 5.40 |