TimeMine (demonstration session): visualizing automatically constructed timelines
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Temporal summaries of new topics
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Mining blog stories using community-based and temporal clustering
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
Topic detection and tracking with spatio-temporal evidence
ECIR'03 Proceedings of the 25th European conference on IR research
A Visual Backchannel for Large-Scale Events
IEEE Transactions on Visualization and Computer Graphics
Personalized and automatic social summarization of events in video
Proceedings of the 16th international conference on Intelligent user interfaces
Multi-modal summarization of key events and top players in sports tournament videos
WACV '11 Proceedings of the 2011 IEEE Workshop on Applications of Computer Vision (WACV)
Towards better TV viewing rates: exploiting crowd's media life logs over Twitter for TV rating
Proceedings of the 5th International Conference on Ubiquitous Information Management and Communication
Twitinfo: aggregating and visualizing microblogs for event exploration
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Realtime social sensing of support rate for microblogging
DASFAA'11 Proceedings of the 16th international conference on Database systems for advanced applications
ECIR'11 Proceedings of the 33rd European conference on Advances in information retrieval
Studying how the past is remembered: towards computational history through large scale text mining
Proceedings of the 20th ACM international conference on Information and knowledge management
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Known events that are scheduled in advance, such as popular sports games, usually get a lot of attention from the public. Communications media like TV, radio, and newspapers will report the salient aspects of such events live or post-hoc for general consumption. However, certain actions, facts, and opinions would likely be omitted from those objective summaries. Our approach is to construct a particular game's timeline in such a way that it can be used as a quick summary of the main events that happened along with popular subjective and opinionated items that the public inject. Peaks in the volume of posts discussing the event reflect both objectively recognizable events in the game - in the sports example, a change in score - and subjective events such as a referee making a call fans disagree with. In this work, we introduce a novel timeline design that captures a more complete story of the event by placing the volume of Twitter posts alongside keywords that are driving the additional traffic. We demonstrate our approach using events of major international social impact from the World Cup 2010 and evaluate against professional liveblog coverage of the same events.