A Social Collaboration Argumentation System for Generating Multi-Faceted Answers in Question & Answer Communities
In this paper, the authors propose an innovative approach for the development of social collaboration argumentation systems. These systems enable a community to collaboratively create answers to questions where many possible answers, or nuanced perspectives on a single answer, can be posited. They examine the emergence of critical reasoning via crowdsourced structured discussions, which are built upon a graph-theoretic framework populated by atomic argumentation components. Finally, they address the design of the online community to best facilitate this interaction. Their main contribution is the rationale and design of the system, which can easily be extended to build a general eLearning framework.