Discussion Visualization on a Bulletin Board System

• Main Author: Wataru Sunayama
• Format: Article
• Language: English
• Published: Ubiquity Press 2007-03-01
• Series: Data Science Journal
• Subjects: Bulletin board system; Information visualization; Discussion support; Comment criteria; Discussion divergence; Discussion convergence
• Online Access: http://datascience.codata.org/articles/389

It is important for a collaborative community to decide its next action. The leader of a collaborative community must choose an action that increases rewards and reduces risks. When a leader cannot make this decision, action will be determined through community member discussion. However, this decision cannot be made in blind discussions, so systematic discussion is necessary to choose effective action in a limited time. In this paper, we propose a bulletin board system framework in which effective discussion is established through visualized discussion logs.