A semantic approach to visualizing online conversations
Communications of the ACM - Supporting community and building social capital
Seascape and volcano: visualizing online discussions using timeless motion
CHI '05 Extended Abstracts on Human Factors in Computing Systems
Understanding the dynamics of collaborative multi-party discourse
Information Visualization - Special issue on visual analysis of human dynamics
Modulating video credibility via visualization of quality evaluations
Proceedings of the 4th workshop on Information credibility
ConnectDots: visualizing social network interaction for improved social decision making
OCSC'07 Proceedings of the 2nd international conference on Online communities and social computing
Visualization of interactions in an online collaboration environment
CTS'05 Proceedings of the 2005 international conference on Collaborative technologies and systems
CICRO: an interactive visual interface for crowd communication online
OCSC'11 Proceedings of the 4th international conference on Online communities and social computing
Empirical evaluation of a visual interface for exploring message boards
ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part I
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Although constructed for researchers to share news and information, Usenet quickly developed into a social environment with varied styles of interactions. Unfortunately, the browsers developed to view the shared messages fail to effectively convey the rich social features of a newsgroup, let alone all of Usenet. The goal of our research is to use the salient features of social interaction to build a iulegibleln interactive visual representation of Usenet. In this paper, we introduce our approach to developing this type of visualization, discussing our theoretical framework, questions considered to access the socially salient features, and a series of design iterations used for exploring how to develop a visual language that conveys social meaning. Although this paper represents a work in progress, we hope that this approach and our initial iterations help build a framework for future directions.