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A Consensus Reaching Model for Web 2.0 Communities

  • Conference paper
Modeling Decisions for Artificial Intelligence (MDAI 2009)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5861))

Abstract

Web 2.0 Communities allow large amounts of users to interact with each others. In fact, new Web 2.0 technologies allow to share resources and information in an easy and timely manner, allowing real time communication among persons all over the world. However, as Web 2.0 Communities are a quite recent phenomenon with its own characteristics and particularities, there is still a necessity of developing new tools that allow to reach decisions with a high enough consensus level among their users. In this contribution we present a new consensus reaching model designed to incorporate the benefits that a Web 2.0 Community offers (rich and diverse knowledge due to a large number of users, real-time communication...) and that tries to minimize the main problems that this kind of organization presents (low and intermittent participation rates, difficulty of establishing trust relations and so on).

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Alonso, S., PĂ©rez, I.J., Cabrerizo, F.J., Herrera-Viedma, E. (2009). A Consensus Reaching Model for Web 2.0 Communities. In: Torra, V., Narukawa, Y., Inuiguchi, M. (eds) Modeling Decisions for Artificial Intelligence. MDAI 2009. Lecture Notes in Computer Science(), vol 5861. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04820-3_23

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  • DOI: https://doi.org/10.1007/978-3-642-04820-3_23

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04819-7

  • Online ISBN: 978-3-642-04820-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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