• DocumentCode
    1582489
  • Title

    Nice to Know You: Familiarity and Influence in Social Networks

  • Author

    Kaptein, Maurits ; Nass, Clifford ; Parvinen, Petri ; Markopoulos, Panos

  • fYear
    2013
  • Firstpage
    2745
  • Lastpage
    2752
  • Abstract
    Advertisers on Social Network Sites often use recommendations by others in a user´s networks to endorse products. While these familiar others are hypothesized to be more effective in influencing users than unfamiliar others, there is a catch: familiarity does not necessarily ensure similarity to the familiar person, a potential problem because the combination of familiarity and dissimilarity has been hypothesized to lead to lowered compliance. In an experiment (N = 44), we test people´s compliance to similar and dissimilar familiar others in an online environment: we show that in both cases, familiarity leads to increased compliance. The work highlights the importance of familiarity on influence and suggests that gaining familiarity even in situations of dissimilarity is effective.
  • Keywords
    Analysis of variance; Atmospheric measurements; Computers; Educational institutions; Indexes; Particle measurements; Social network services; Familiarity; Influence; Similarity; Social Networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Sciences (HICSS), 2013 46th Hawaii International Conference on
  • Conference_Location
    Wailea, HI, USA
  • ISSN
    1530-1605
  • Print_ISBN
    978-1-4673-5933-7
  • Electronic_ISBN
    1530-1605
  • Type

    conf

  • DOI
    10.1109/HICSS.2013.418
  • Filename
    6480176