• DocumentCode
    3303115
  • Title

    From Dark Web to GeoPolitical Web: Exploring the Value of Social Media Informatics

  • Author

    Chen, Hsinchun

  • fYear
    2012
  • fDate
    22-24 Aug. 2012
  • Firstpage
    3
  • Lastpage
    3
  • Abstract
    Summary form only given. This talk will summarize the University of Arizona Artificial Intelligence Lab´s Dark Web research and discuss current and future development of a new GeoPolitical Web research program, which aims to study the emerging geopolitical events using advanced social media analytics techniques. The GeoPolital Web project is collecting longitudinal multilingual social media contents (forums, twitters, videos) from many different volatile regions in the world. Selected sentiment analysis, text mining, social network analysis, and econometrics models studies will be presented. Dark Web research has received significant international press coverage, including: Associated Press, USA Today, The Economist, NSF Press, Washington Post, Fox News, BBC, PBS, Business Week, Discover magazine, WIRED magazine, Government Computing Week, Second German TV (ZDF), Toronto Star, and Arizona Daily Star, among others. For more Dark Web and GeoPolitical Web project information, please see: http://ai.eller.arizona.edu/research/terror/.
  • Keywords
    Internet; data mining; econometrics; social networking (online); text analysis; Artificial Intelligence Lab; Twitter; University of Arizona; dark Web; econometrics model; forum; geopolitical Web; geopolitical event; multilingual social media content; social media analytics technique; social media informatics; social network analysis; text mining; video; Artificial intelligence; Awards activities; Educational institutions; Informatics; Media; Presses; Security;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligence and Security Informatics Conference (EISIC), 2012 European
  • Conference_Location
    Odense
  • Print_ISBN
    978-1-4673-2358-1
  • Type

    conf

  • DOI
    10.1109/EISIC.2012.70
  • Filename
    6298877