• DocumentCode
    3125241
  • Title

    Agile detection of framing rhetoric in social media

  • Author

    Glass, Kristin ; Colbaugh, Richard

  • Author_Institution
    New Mexico Inst. of Min. & Technol., Socorro, NM, USA
  • fYear
    2012
  • fDate
    11-14 June 2012
  • Firstpage
    120
  • Lastpage
    122
  • Abstract
    A frame in social theory is a schema of interpretation that individuals rely upon to understand and respond to events. Collective action frames are persuasive communications constructed during mobilization campaigns, frequently to call attention to a perceived problem or issue, itemize steps to resolve the issue, and motivate others regarding the issue´s urgency and the importance of taking action [e.g. 1]. There is substantial empirical evidence that framing rhetoric influences the success or failure of social movements, and that movement members are increasingly relying upon social media to communicate their frames. Consequently, there is considerable interest within the security informatics community to develop methods for detecting framing rhetoric in social (and other) media [2]. Particularly valuable would be computational methods capable of distinguishing framing from non-framing content using only limited labeled examples of framing discourse, because generating such labels typically requires experienced analysts and is an expensive and time-consuming undertaking.
  • Keywords
    graph theory; pattern classification; social networking (online); text analysis; agile framing rhetoric detection; bipartite document graph; collective action frames; mobilization campaigns; persuasive communications; security informatics community; social media; social movements; social theory; text classification; Algorithm design and analysis; Classification algorithms; Media; Rhetoric; Security; Support vector machine classification; Training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligence and Security Informatics (ISI), 2012 IEEE International Conference on
  • Conference_Location
    Arlington, VA
  • Print_ISBN
    978-1-4673-2105-1
  • Type

    conf

  • DOI
    10.1109/ISI.2012.6284103
  • Filename
    6284103