Akademik Veri Yönetim Sistemi
1st International Workshop on Social Multimedia and Storytelling, SoMuS 2014 co-located with ACM International Conference on Multimedia Retrieval, ICMR 2014, Glasgow, İngiltere, 01 Nisan 2014, cilt.1198, (Tam Metin Bildiri)
Ask two people to describe an event they have both experienced, and you will usually hear two very different accounts. Witnesses bring their own preconceptions and biases which makes objective story-telling all but impossible. Despite this, recent work on algorithmic topic detection, event summarization and content generation often has a stated aim of objectively answering the question, \What just happened?" Here, in contrast, we ask \How did people respond to what just happened?" We describe some initial studies of sports fans' discussions of football matches through online social networks. During major sporting events, spectators send many messages through social networks like Twitter. These messages can be analysed to detect events, such as goals, and to provide summaries of sports events. Our aim is to produce a subjective summary of events as seen by the fans. We describe simple rules to estimate which team each tweeter supports and so divide the tweets between the two teams. We then use a topic detection algorithm to discover the main topics discussed by each set of fans. Finally we compare these to live mainstream media reports of the event and select the most relevant topic at each moment. In this way, we produce a subjective summary of the match in near-real-time from the point of view of each set of fans.