• DocumentCode
    3739137
  • Title

    Newsworthy Rumor Events: A Case Study of Twitter

  • Author

    Armineh Nourbakhsh;Xiaomo Liu;Sameena Shah;Rui Fang;Mohammad Mahdi Ghassemi;Quanzhi Li

  • fYear
    2015
  • Firstpage
    27
  • Lastpage
    32
  • Abstract
    Rumor events differ in how and where they originate, what topics they address, the emotions they invoke, and how they engage their audience. In this paper, we study various semantic aspects of rumors and analyze the motivational and functional roles they play. Using Twitter as a case study, we develop a framework to characterize rumors. Our characterization covers intrinsic and extrinsic factors, tweet and event-level, as well as usage analysis. We determine the roles various user-types play and analyze rumor propagation from both a re-tweeting and burstiness perspective.
  • Keywords
    "Twitter","Media","Data collection","Facebook","Tagging","Accidents","Conferences"
  • Publisher
    ieee
  • Conference_Titel
    Data Mining Workshop (ICDMW), 2015 IEEE International Conference on
  • Electronic_ISBN
    2375-9259
  • Type

    conf

  • DOI
    10.1109/ICDMW.2015.200
  • Filename
    7395648