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  1. Proceedings of the first SIGMM workshop on Social media (WSM '09)
  2. Tweet the debates: understanding community annotation of uncollected sources
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Influence of multimedia in emerging social web systems
Tweet the debates: understanding community annotation of uncollected sources
Effective semantic classification of consumer events for automatic content management
Accelerating YouTube with video correlation
Motivating contributors in social media networks
Event driven summarization for web videos
Multimodal video copy detection applied to social media
Image tag clarity: in search of visual-representative tags for social images
The role of tags and image aesthetics in social image search
From usage to annotation: analysis of personal photo albums for semantic photo understanding
Social reader: following social networks in the wilds of the blogosphere
Implicit emotional tagging of multimedia using EEG signals and brain computer interface
VisuaPedia: a social media based visual encyclopedia

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Tweet the debates: understanding community annotation of uncollected sources

Content Provider ACM Digital Library
Author Kennedy, Lyndon Churchill, Elizabeth F. Shamma, David A.
Abstract We investigate the practice of sharing short messages (microblogging) around live media events. Our focus is on Twitter and its usage during the 2008 Presidential Debates. We find that analysis of Twitter usage patterns around this media event can yield significant insights into the semantic structure and content of the media object. Specifically, we find that the level of Twitter activity serves as a predictor of changes in topics in the media event. Further we find that conversational cues can identify the key players in the media object and that the content of the Twitter posts can somewhat reflect the topics of discussion in the media object, but are mostly evaluative, in that they express the poster's reaction to the media. The key contribution of this work is an analysis of the practice of microblogging live events and the core metrics that can leveraged to evaluate and analyze this activity. Finally, we offer suggestions on how our model of segmentation and node identification could apply towards any live, real-time arbitrary event.
Starting Page 3
Ending Page 10
Page Count 8
File Format PDF
ISBN 9781605587592
DOI 10.1145/1631144.1631148
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2009-10-23
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Multimedia Social Tv Debates Centrality Twitter Community
Content Type Text
Resource Type Article
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