• DocumentCode
    3537283
  • Title

    Twitter Informatics: Tracking and Understanding Public Reaction during the 2009 Swine Flu Pandemic

  • Author

    Szomszor, Martin ; Kostkova, Patty ; Louis, Connie St

  • Author_Institution
    City eHealth Res. Centre, City Univ., London, UK
  • Volume
    1
  • fYear
    2011
  • fDate
    22-27 Aug. 2011
  • Firstpage
    320
  • Lastpage
    323
  • Abstract
    Much attention has been focused on Twitter because it serves as a central hub for the publishing, dissemination, and discovery of online media. This is true for both traditional news outlets and user generated content, both of which can vary widely in their journalistic and scientific quality. The recent Swine Flu pandemic of 2009 highlighted this aspect perfectly, global events that created a large online buzz, with some dubious medical facts leaking into public opinion. This paper presents an investigation into how online resources relating to Swine Flu were discussed on Twitter, with a focus on identifying and analyzing the popularity of trusted information sources (e.g. from quality news outlets and official health agencies). Our findings indicate that reputable sources are more popular than untrusted ones, but that information with poor scientific merit can still leak into to the network and potentially cause harm.
  • Keywords
    Internet; bioinformatics; data mining; diseases; electronic publishing; medical information systems; social networking (online); 2009 swine flu pandemic; Twitter informatics; medical fact; online buzz; online media dissemination; online media publishing; online resource; public reaction; trusted information source; user generated content; Blogs; Cities and towns; Educational institutions; Media; Twitter; USA Councils; Data Mining; H1N1; News; Social Media; Swine Flu; Twitter; Web Science; eHealth;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Intelligence and Intelligent Agent Technology (WI-IAT), 2011 IEEE/WIC/ACM International Conference on
  • Conference_Location
    Lyon
  • Print_ISBN
    978-1-4577-1373-6
  • Electronic_ISBN
    978-0-7695-4513-4
  • Type

    conf

  • DOI
    10.1109/WI-IAT.2011.311
  • Filename
    6036779