News Sync: Enabling Scenario-based News Exploration
V.G.Vinod Vydiswaran, Jeroen van den Eijkhof, Raman Chandrasekar, Ann Paradiso and Jim St. George
ASIST 2011 Annual Meeting
New Orleans, LA, October 9-12, 2011
News consumption patterns are changing, but the tools to view news are dominated by portal and search approaches. In this paper, we suggest using elements of search, visualization, natural language processing, and machine learning to provide a more captivating, sticky news consumption experience. We present a system that was built for three specific scenarios where a user wants to catch up on news from a particular time period, keep in touch with news from specific locations, or follow the lives of celebrities. The news experience is enhanced by clustering news articles and allowing users to filter results on specific dimensions such as time, location, and key entities. Further, users can interact with and share stories of interest. We built a prototype system over a twenty-year New York Times corpus. User studies and a deployment study suggest a distinct preference for an interface that supports exploration and visualization of news articles.
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