@article{WenningerCheungKrasnova2019,
  author    = {Wenninger, Helena Eva and Cheung, Christy M. K. and Krasnova, Hanna},
  title     = {College-aged users behavioral strategies to reduce envy on social networking sites},
  series = {Computers in human behavior},
  volume    = {97},
  journal   = {Computers in human behavior},
  publisher = {Elsevier},
  address   = {Oxford},
  issn      = {0747-5632},
  doi       = {10.1016/j.chb.2019.02.025},
  pages     = {10 -- 23},
  year      = {2019},
  abstract  = {Social networking sites (SNSs) are central to social interaction and information sharing in the digital age. However, consuming social information on SNSs invites social upward comparisons with highly socially desirable profile representations, which easily elicits envy in users and leads to unfavorable behaviors on SNSs. This in turn can erode the subjective well-being of users and the sustainability of the SNS platform. Therefore, this paper seeks to develop a better theoretical understanding of how users respond to envy on SNSs. We review literature on envy in offline interactions to derive three behavioral strategies to reduce envy, which we then transfer to the SNS context (self-enhancement, gossiping, and discontinuous intention). Further, we propose a research model and examine how culture, specifically individualism-collectivism, affects the relationship between envy on an SNS and the three strategies. We empirically test the variance-based structural equation model through survey data collected of Facebook users from Germany and Hong Kong. Our findings provide first insights into the link between envy on SNSs, related behavioral strategies and the moderating role of individualism for self-enhancement.},
  language  = {en}
}
@article{KrasnovaVeltriGuenther2012,
  author    = {Krasnova, Hanna and Veltri, Natasha F. and G{\"u}nther, Oliver},
  title     = {Self-disclosure and privacy calculus on social networking sites the role of culture intercultural dynamics of privacy calculus},
  series = {Business \& information systems engineering : the international journal of Wirtschaftsinformatik},
  volume    = {4},
  journal   = {Business \& information systems engineering : the international journal of Wirtschaftsinformatik},
  number    = {3},
  publisher = {Springer},
  address   = {Heidelberg},
  issn      = {1867-0202},
  doi       = {10.1007/s12599-012-0216-6},
  pages     = {127 -- 135},
  year      = {2012},
  abstract  = {Social Network Sites (SNSs) rely exclusively on user-generated content to offer engaging and rewarding experience to its members. As a result, stimulating user communication and self-disclosure is vital for the sustainability of SNSs. However, considering that the SNS users are increasingly culturally diverse, motivating this audience to self-disclose requires understanding of their cultural intricacies. Yet existing research offers only limited insights into the role of culture behind the motivation of SNS users to self-disclose. Building on the privacy calculus framework, this study explores the role of two cultural dimensions - individualism and uncertainty avoidance - in self-disclosure decisions of SNS users. Survey responses of US and German Facebook members are used as the basis for our analysis. Structural equation modeling and multi-group analysis results reveal the distinct role of culture in the cognitive patterns of SNS users. The authors find that trusting beliefs play a key role in the self-disclosure decisions of users from individualistic cultures. At the same time, uncertainty avoidance determines the impact of privacy concerns. This paper contributes to the theory by rejecting the universal nature of privacy calculus processes. The findings provide for an array of managerial implications for SNS providers as they strive to encourage content creation and sharing by their heterogeneous members.},
  language  = {en}
}