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Sensing User Generated Input for Improved Media Discovery and Experience (SocialSensor)
Start date: Oct 1, 2011, End date: Oct 31, 2014 PROJECT  FINISHED 

Description Enhanced discovery, analysis, retrieval of newsworthy and high-quality content in social media sources to assist news, event professionals to improve the experience of news readers and event goers.SocialSensor offers technologies for analyzing the activity in social networks with the goal of discovering trending and high-quality content, identifying influencers, sentiment around discussed topics, and establishing links between different online sources. In addition, the project creates new means of retrieving, delivering and presenting media content and information in easily digestible ways and in mobile settings.The project leverages social networks and user-generated content in two use cases: news and large events. For news, SocialSensor helps journalists and editors quickly discover and validate newsworthy user-generated content and to better understand the trends and public sentiment. It also offers casual readers a serendipitous means of finding online news. In the case of large events, SocialSensor enhances the experience of event goers with powerful mobile services and supports event organizers for grasping the pulse of their events and leveraging social content and interactions around it.
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