Self-Selected Identity and Social Capital in Social Network sites

نویسندگان

  • Rozan O. Maghrabi
  • Richelle L. Oakley
  • Hamid R. Nemati
چکیده

Social network sites can provide a person with the freedom to represent themselves in various ways, thus exhibiting multiple variations of their identity. Research states that an individual’s identity is self-monitored depending on the contextual situation that they are in. This ability is affected by their use of technology. We argue that social network sites are a particularly unique environment that can affect an individual’s representation of their identity, thus increasing the likelihood of producing perverse social capital. Current research has addressed how productive social capital can be gained in social network sites; however, limited research has addressed the issue of perverse social capital, especially in social network sites. We examine how technology affects an individual’s selected self-identity, as measured through their self-monitoring ability, and how this altered behavior leads to productive or perverse social capital in social network sites.

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تاریخ انتشار 2011