David A. Shamma
Lyndon Kennedy
Elizabeth F. Churchill
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.
- S. Ahern, M. Naaman, R. Nair, and J. H.-I. Yang. World explorer: visualizing aggregate data from unstructured text in geo-referenced collections. In JCDL '07: Proceedings of the 7th ACM/IEEE-CS joint conference on Digital libraries, pages 1--10, New York, NY, USA, 2007. ACM. Google Scholar
Digital Library
- The 3rd annual workshop on weblogging ecosystem: Aggregation, analysis, and dynamics. 15th world wide web conference, May 2006.Google Scholar
- P. Bonacich. Factoring and weighting approaches to status scores and clique identification. Journal of Mathematical Sociology, 2(1):113--120, 1972.Google ScholarCross Ref
- P. Cesar, D. C. Bulterman, D. Geerts, J. Jansen, H. Knoche, and W. Seager. Enhancing social sharing of videos: fragment, annotate, enrich, and share. In MM '08: Proceeding of the 16th ACM international conference on Multimedia, pages 11--20, New York, NY, USA, 2008. ACM. Google ScholarDigital Library
- CSPAN. Cspan debate hub. http://debatehub.c-span.org/index.php/debate-1/, 2008. Accessed July 2, 2009.Google Scholar
- CSPAN. First 2008 presidential debate (full video). http://www.youtube.com/watch?v=F--nNIEduEOw, September 2008. Accessed July 2, 2009.Google Scholar
- Current TV. http://www.current.com.Google Scholar
- Current TV: Hack the Debate. http://current.com/topics/88834922_hack-the-debate/.Google Scholar
- Flickr. http://www.flickr.com.Google Scholar
- E. Gilbert and K. Karahalios. Predicting tie strength with social media. In CHI '09: Proceedings of the 27th international conference on Human factors in computing systems, pages 211--220, New York, NY, USA, 2009. ACM. Google ScholarDigital Library
- M. Granovetter. The strength of weak ties. American journal of sociology, 78(6):1360, 1973.Google Scholar
- H. Hotelling. Simplified calculation of principal components. Psychometrika, 1(1):27--35, 1936.Google ScholarCross Ref
- A. Java, X. Song, T. Finin, and B. Tseng. Why we twitter: understanding microblogging usage and communities. In WebKDD/SNA-KDD '07: Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis, pages 56--65, New York, NY, USA, 2007. ACM. Google ScholarDigital Library
- B. Krishnamurthy, P. Gill, and M. Arlitt. A few chirps about twitter. In WOSP '08: Proceedings of the first workshop on Online social networks, pages 19--24, New York, NY, USA, 2008. ACM. Google ScholarDigital Library
- Newton's method. http://en.wikipedia.org/wiki/Newton's_method. Accessed July 2, 2009.Google Scholar
- G. Salton, A. Wong, and C. S. Yang. A vector space model for automatic indexing. Communcations of the ACM, 18:613--620, 1975. Google ScholarDigital Library
- D. A. Shamma and Y. Liu. Social Interactive Television: Immersive Shared Experiences and Perspectives, chapter Zync with Me: Synchronized Sharing of Video through Instant Messaging, pages 273--288. Information Science Publishing, Hershey, PA, USA, 2009.Google Scholar
- D. A. Shamma, R. Shaw, P. L. Shafton, and Y. Liu. Watch what i watch: using community activity to understand content. In MIR '07: Proceedings of the international workshop on Workshop on multimedia information retrieval, pages 275--284, New York, NY, USA, 2007. ACM. Google ScholarDigital Library
- X. Shi, B. Tseng, and L. Adamic. Looking at the blogosphere topology through different lenses. Ann Arbor, 1001:48109, May 2007.Google Scholar
- C. Spinuzzi. Tracing genres through organizations: A sociocultural approach to information design. Mit Press, 2003.Google ScholarCross Ref
- Twitter. http://www.twitter.com.Google Scholar
- S. Wasserman and K. Faust. Social Network Analysis: methods and applications. Cambridge University Press, 1994.Google ScholarCross Ref
- D. Williams, M. F. Ursu, P. Cesar, K. Bergström, I. Kegel, and J. Meenowa. An emergent role for tv in social communication. In EuroITV '09: Proceedings of the seventh european conference on European interactive television conference, pages 19--28, New York, NY, USA, 2009. ACM. Google ScholarDigital Library
- L. Wu, X.-S. Hua, N. Yu, W.-Y. Ma, and S. Li. Flickr distance. In MM '08: Proceeding of the 16th ACM international conference on Multimedia, pages 31--40, New York, NY, USA, 2008. ACM. Google ScholarDigital Library
- You Tube. http://www.youtube.com.Google Scholar
Index Terms
- Tweet the debates: understanding community annotation of uncollected sources
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