The Journal of Machine Learning Research
ICML '06 Proceedings of the 23rd international conference on Machine learning
Infotopia: How Many Minds Produce Knowledge
Infotopia: How Many Minds Produce Knowledge
Comparing clusterings---an information based distance
Journal of Multivariate Analysis
On the Equivalence of Cohen's Kappa and the Hubert-Arabie Adjusted Rand Index
Journal of Classification
Supporting group decisions by mediating deliberation to improve information pooling
Proceedings of the ACM 2009 international conference on Supporting group work
Evaluation methods for topic models
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Meme-tracking and the dynamics of the news cycle
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Web Science 2.0: Identifying Trends through Semantic Social Network Analysis
CSE '09 Proceedings of the 2009 International Conference on Computational Science and Engineering - Volume 04
Evolutionary hierarchical dirichlet processes for multiple correlated time-varying corpora
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Truthy: mapping the spread of astroturf in microblog streams
Proceedings of the 20th international conference companion on World wide web
TextFlow: Towards Better Understanding of Evolving Topics in Text
IEEE Transactions on Visualization and Computer Graphics
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In this article, we present an analysis of communication transcripts from computer-mediated teams that illustrates how different kinds of decision support impact collaborative knowledge construction. Our analysis introduces an algorithmic technique called Topic Evolution Analysis (TEvA), which tracks clusters of words in conversation, and illustrates how these clusters change and merge over time. This analysis is combined with measurements of group dynamics to distinguish between teams using different kinds of decision support. Our analysis offers evidence that some kinds of decision support improve the apparent rationality of a team, but at the cost of collaborative knowledge construction. This result is not apparent when simply measuring team decision performance. We use this finding to motivate the utility and importance of the approach when assessing the impact of technology on collaborative knowledge processing.