News Sync: Enabling scenario‐based news exploration

Abstract 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 propose a novel use‐case driven approach to present news and present News Sync, a system that addresses three specific news exploration 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 interact with and share stories of interest, and filter results on specific dimensions such as time, location, and key entities. User deployment studies suggest a distinct preference for an interface that supports exploration and visualization of news articles.