• DocumentCode
    3357388
  • Title

    Diamonds in the rough: Social media visual analytics for journalistic inquiry

  • Author

    Diakopoulos, Nicholas ; Naaman, Mor ; Kivran-Swaine, Funda

  • fYear
    2010
  • fDate
    25-26 Oct. 2010
  • Firstpage
    115
  • Lastpage
    122
  • Abstract
    Journalists increasingly turn to social media sources such as Facebook or Twitter to support their coverage of various news events. For large-scale events such as televised debates and speeches, the amount of content on social media can easily become overwhelming, yet still contain information that may aid and augment reporting via individual content items as well as via aggregate information from the crowd´s response. In this work we present a visual analytic tool, Vox Civitas, designed to help journalists and media professionals extract news value from large-scale aggregations of social media content around broadcast events. We discuss the design of the tool, present the text analysis techniques used to enable the presentation, and provide details on the visual and interaction design. We provide an exploratory evaluation based on a user study in which journalists interacted with the system to explore and report on a dataset of over one hundred thousand twitter messages collected during the U.S. State of the Union presidential address in 2010.
  • Keywords
    content management; information retrieval; social networking (online); text analysis; user interfaces; Facebook; Twitter; Vox Civitas; journalist; social media; text analysis; visual analytic tool; Aggregates; Classification algorithms; Context; Filtering; Media; Twitter; Visual analytics; Computational Journalism; Computer Assisted Reporting; Sensemaking; Social Media;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Visual Analytics Science and Technology (VAST), 2010 IEEE Symposium on
  • Conference_Location
    Salt Lake City, UT
  • Print_ISBN
    978-1-4244-9488-0
  • Electronic_ISBN
    978-1-4244-9487-3
  • Type

    conf

  • DOI
    10.1109/VAST.2010.5652922
  • Filename
    5652922