• DocumentCode
    262412
  • Title

    A Comparison of Common Users across Instagram and Ask.fm to Better Understand Cyberbullying

  • Author

    Hosseinmardi, Homa ; Shaosong Li ; Zhili Yang ; Qin Lv ; Ibn Rafiq, Rahat ; Han, Richard ; Mishra, Shivakant

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Colorado at Boulder, Boulder, CO, USA
  • fYear
    2014
  • fDate
    3-5 Dec. 2014
  • Firstpage
    355
  • Lastpage
    362
  • Abstract
    This paper examines users who are common to two popular online social networks, Instagram and Ask.fm, That are often used for cyber bullying. An analysis of the negativity and positivity of word usage in posts by common users of these two social networks is performed. These results are normalized in comparison to a sample of typical users in both networks. We also examine the posting activity of common user profiles and consider its correlation with negativity. Within the Ask.fm social network, which allows anonymous posts, the relationship between anonymity and negativity is further explored.
  • Keywords
    behavioural sciences computing; information analysis; social networking (online); Ask.fm; Instagram; anonymous posts; common user profiles; cyberbullying; online social networks; posting activity; word usage negativity analysis; word usage positivity analysis; Computer science; Correlation; Educational institutions; Facebook; Media; Twitter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Big Data and Cloud Computing (BdCloud), 2014 IEEE Fourth International Conference on
  • Conference_Location
    Sydney, NSW
  • Type

    conf

  • DOI
    10.1109/BDCloud.2014.87
  • Filename
    7034816