• DocumentCode
    2118422
  • Title

    Selective Behavior in Online Social Networks

  • Author

    Chunjing Xiao ; Ling Su ; Juan Bi ; Yuxia Xue ; Kuzmanovic, Aleksandar

  • Author_Institution
    Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • Volume
    1
  • fYear
    2012
  • fDate
    4-7 Dec. 2012
  • Firstpage
    206
  • Lastpage
    213
  • Abstract
    According to the classical communication theories, known as Gate keeping and Selective Exposure, individuals tend to have selective behavior when they disseminate and receive information based on their psychological preferences. Selective behavior related to these two theories have been broadly studied separately. While, thanks to the advent of Online Social Networks (OSNs), larger-scale feedback and user information can be collected. In this paper, based on these data, We analyze the correlation among users´ properties (such as age, gender, and cultural background) and analyze their selective behavior by tagging users as disseminators and/or audiences in YouTube, Flickr, and Twitter. We find that despite enormous amount of content available in OSNs, users have a comparatively small selective range and do exhibit selective behavior properties. In particular, they pay the most attention to the content published by disseminators that share similar properties, i.e., gender, age, and country. Nonetheless, we also find significant differences and commonalities among the three OSNs with respect to selective behavior. In particular, (i) the proportion and properties of disseminators, audiences, and dual-role users are quite different for the three networks, (ii) the global level of information spread in Flickr is almost two times than that in Twitter and YouTube is approximately the median one, (iii) For a given country, the global level of information spread is different for different OSNs. For a given OSN, it is different for different countries, (iv) despite ubiquitous presence of dual-role users in OSNs, most of such users are very active as either disseminators or audiences, but not both. Our findings are not only useful for understanding these two theories, but also have applications ranging from advertising and recommendation systems to developing predicting models.
  • Keywords
    Internet; information dissemination; psychology; social networking (online); Flickr; Gatekeeping; OSN; Selective Exposure; Twitter; YouTube; advertising systems; age; audiences; classical communication theories; correlation analysis; country; disseminators; dual-role users; gender; information dissemination; information spread; larger-scale feedback; online social networks; psychological preferences; recommendation systems; selective behavior properties; user information; Gatekeeping; Information propagation; Selective Exposure; Social Networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Intelligence and Intelligent Agent Technology (WI-IAT), 2012 IEEE/WIC/ACM International Conferences on
  • Conference_Location
    Macau
  • Print_ISBN
    978-1-4673-6057-9
  • Type

    conf

  • DOI
    10.1109/WI-IAT.2012.42
  • Filename
    6511886