Classifying trending topics: a typology of conversation triggers on Twitter
Proceedings of the 20th ACM international conference on Information and knowledge management
Identifying content for planned events across social media sites
Proceedings of the fifth ACM international conference on Web search and data mining
Curating and contextualizing Twitter stories to assist with social newsgathering
Proceedings of the 2013 international conference on Intelligent user interfaces
Maximum likelihood analysis of conflicting observations in social sensing
ACM Transactions on Sensor Networks (TOSN)
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We deal with shrinking the stream of tweets for scheduled events in real-time, following two steps: (i) sub-event detection, which determines if something new has occurred, and (ii) tweet selection, which picks a tweet to describe each sub-event. By comparing summaries in three languages to live reports by journalists, we show that simple text analysis methods which do not involve external knowledge lead to summaries that cover 84% of the sub-events on average, and 100% of key types of sub-events (such as goals in soccer).