Analyzing Community Deliberation and Achieving Consensual Knowledge in SAM

Abstract

This paper presents a novel approach to harnessing collective intelligence that will allow a community to create, collaborate, and share knowledge based on the Semantic Argumentation Model (SAM). It encourages multiple users to express ideas or positions on complex issues, and to submit arguments that support or oppose the ideas of the other members. In principle, ideas considered possible solutions to an issue are those that contain high content quality and achieve great community agreement. Therefore, the authors define several useful measures to analyze the deliberation for determining the content quality, community preference, and achieving quality-assured consensual knowledge. Finally, a web-based prototype system founded on the proposed approach is developed and made available for public use. A preliminary study on the system usability shows that the system is practical and can enhance the collaborative knowledge creation and sharing process.