The second Visual Analytics Science and Technology
(VAST) contest’s data consisted of a heterogeneous
synthetic collection of news articles with additional
supporting files and contained a scenario with embedded
threats that provided ground truth. Using visual analytic
tools, participants sought evidence of illegal and terrorist
activities. We describe the contest and the evaluation
methodology. We report results and lessons learned.
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