Social Media Visual Analytics for Events

  • Nicholas Diakopoulos
  • Mor Naaman
  • Tayebeh Yazdani
  • Funda Kivran-Swaine


For large-scale multimedia events such as televised debates and speeches, the amount of content on social media channels such as Facebook or Twitter can easily become overwhelming, yet still contain information that may aid and augment understanding of the multimedia content via individual social media items, or aggregate information from the crowd’s response. In this work we discuss this opportunity in the context of a social media visual analytic tool, Vox Civitas, designed to help journalists, media professionals, or other researchers make sense of large-scale aggregations of social media content around multimedia broadcast events. We discuss the design of the tool, present and evaluate the text analysis techniques used to enable the presentation, and detail the visual and interaction design. We provide an exploratory evaluation based on a user study in which journalists interacted with the system to analyze and report on a dataset of over one 100 000 Twitter messages collected during the broadcast of the U.S. State of the Union presidential address in 2010.


Social Media Sentiment Analysis Sentiment Classification Negative Message Twitter Message 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. 1.
    Artstein, R., Poesio, M.: Inter-coder agreement for computational linguistics. Comput. Linguist. 34(4), 555–596 (2008) CrossRefGoogle Scholar
  2. 2.
    Clayman, S.: Defining moments, presidential debates, and the dynamics of quotability. J. Commun. 45(3), 118–146 (1995) CrossRefGoogle Scholar
  3. 3.
    Collins, C., Viégas, F., Wattenberg, M.: Parallel tag coulds to explore and analyze faceted text corpora. In: IEEE Symposium on Visual Analytics Science and Technology (VAST) (2009) Google Scholar
  4. 4.
    De Choudhury, M., Sundaram, H., John, A., Seligmann, D.D.: What makes conversations interesting?: Themes, participants and consequences of conversations in online social media. In: Proc. WWW (2009) Google Scholar
  5. 5.
    De Longueville, B., Smith, R., Luraschi, G.: “OMG, from here, I can see the flames!”: A use case of mining location based social networks to acquire spatio-temporal data on forest fires. In: Workshop on Location Based Social Networks (LBSN) (2009) Google Scholar
  6. 6.
    Diakopoulos, N., Shamma, D.A.: Characterizing debate performance via aggregated twitter sentiment. In: Proc. CHI (2010) Google Scholar
  7. 7.
    Diakopoulos, N., Goldenberg, S., Essa, I.: Videolyzer: Quality analysis of online informational video for bloggers and journalists. In: Proceedings of CHI (2009) Google Scholar
  8. 8.
    Fisher, D., Hoff, A., Robertson, G., Hurst, M.: Narratives: A visualization to track narrative events as they develop. In: IEEE Symposium on Visual Analytics Science and Technology (VAST) (2008) Google Scholar
  9. 9.
    Franklin, B., Hamer, M., Hanna, M., Kinsey, M., Richardson, J.E.: Key Concepts in Journalism Studies. Sage, Thousand Oaks (2005) Google Scholar
  10. 10.
    Harcup, T., O’Neill, D.: What is news? Galtung and ruge revisited. Journal. Stud. 2(2), 261–280 (2001) Google Scholar
  11. 11.
    Havre, S., Hetzler, E., Whitney, P., Nowell, L.: ThemeRiver: Visualizing thematic changes in large document collections. IEEE Trans. Vis. Comput. Graph. 8(1), 9–20 (2002) CrossRefGoogle Scholar
  12. 12.
    Kang, Y.-a., Görg, C., Stasko, J.: Evaluating visual analytics systems for investigative analysis: Deriving design principles from a case study. In: IEEE Symposium on Visual Analytics Science and Technology (2009) Google Scholar
  13. 13.
    Kovach, B., Rosenstiel, T.: The Elements of Journalism: What Newspeople Should Know and the Public Should Expect. Three Rivers Press, New York (2007) Google Scholar
  14. 14.
    Leskovec, J., Backstrom, L., Kleinberg, J.: Meme-tracking and the dynamics of the news cycle. In: Conference on Knowledge Discovery and Data Mining (KDD) (2009) Google Scholar
  15. 15.
    Manning, C., Raghavan, P., Schütze, H.: Introduction to Information Retrieval. Cambridge University Press, Cambridge (2008) MATHGoogle Scholar
  16. 16.
    Mertens, R., Farzan, R., Brusilovsky, P.: Social navigation in web lectures. In: Proc. Hypertext and Hypermedia (2006) Google Scholar
  17. 17.
    Nagar, N.a.: The loud public: Users’ comments and the online news media. In: Online Journalism Symposium (2009) Google Scholar
  18. 18.
    Pang, B., Lee, L.: Opinion Mining and Sentiment Analysis (2008) Google Scholar
  19. 19.
    Pike, W., Stasko, J., Chang, R., O’Connell, T.: The science of interaction. Inf. Vis. 8(4), 263–274 (2009) CrossRefGoogle Scholar
  20. 20.
    Pirolli, P., Card, S.: The sensemaking process and leverage points for analyst technology as identified through cognitive task analysis. In: International Conference on Intelligence Analysis (2005) Google Scholar
  21. 21.
    Rose, S., Butner, S., Cowley, W., Gregory, M., Walker, J.: Describing story evolution from dynamic information streams. In: IEEE Symposium on Visual Analytics Science and Technology (VAST) (2009) Google Scholar
  22. 22.
    Sakaki, T., Okazako, M., Matsuo, Y.: Earthquake shakes twitter users: Real-time event detection by social sensors. In: Proc. WWW (2010) Google Scholar
  23. 23.
    Shamma, D., Kennedy, L., Churchill, E.: Conversational shadows: Describing live media events using short messages. In: Proceedings of ICWSM (2010) Google Scholar
  24. 24.
    Shamma, D.A., Kennedy, L., Churchill, E.: Tweet the debates. In: ACM Multimedia Workshop on Social Media (WSM) (2009) Google Scholar
  25. 25.
    Shamma, D.A., Shaw, R., Shafton, P.L., Liu, Y.: Watch what I watch: Using community activity to understand content. In: Proc. MIR: Workshop on Multimedia Information Retrieval (2007) Google Scholar
  26. 26.
    Starbird, K., Palen, L., Hughes, A., Vieweg, S.: Chatter on the red: What hazards threat reveals about the social life of microblogged information. In: Proceedings of CSCW (2010) Google Scholar
  27. 27.
    Thomas, J., Cook, K. (eds.): Illuminating the Path. IEEE, New York (2005) Google Scholar

Copyright information

© Springer-Verlag London Limited 2011

Authors and Affiliations

  • Nicholas Diakopoulos
    • 1
  • Mor Naaman
    • 1
  • Tayebeh Yazdani
    • 1
  • Funda Kivran-Swaine
    • 1
  1. 1.School of Communication and InformationRutgers UniversityNew BrunswickUSA

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