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Story Tracker: Incremental visual text analytics of news story development
2013
Information Visualization
Online news sources produce thousands of news articles every day, reporting on local and global real-world events. New information quickly replaces the old, making it difficult for readers to put current events in the context of the past. The stories about these events have complex relationships and characteristics that are difficult to model: they can be weakly or strongly related or they can merge or split over time. In this article, we present a visual analytics system for temporal analysis
doi:10.1177/1473871613493996
fatcat:esiftor57vc7pgx6vqatl2nkci