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      A Cross-Cultural Perspective on the Privacy Calculus

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          Abstract

          The “privacy calculus” approach to studying online privacy implies that willingness to engage in disclosures on social network sites (SNSs) depends on evaluation of the resulting risks and benefits. In this article, we propose that cultural factors influence the perception of privacy risks and social gratifications. Based on survey data collected from participants from five countries (Germany [ n = 740], the Netherlands [ n = 89], the United Kingdom [ n = 67], the United States [ n = 489], and China [ n = 165]), we successfully replicated the privacy calculus. Furthermore, we found that culture plays an important role: As expected, people from cultures ranking high in individualism found it less important to generate social gratifications on SNSs as compared to people from collectivist-oriented countries. However, the latter placed greater emphasis on privacy risks—presumably to safeguard the collective. Furthermore, we identified uncertainty avoidance to be a cultural dimension crucially influencing the perception of SNS risks and benefits. As expected, people from cultures ranking high in uncertainty avoidance found privacy risks to be more important when making privacy-related disclosure decisions. At the same time, these participants ascribed lower importance to social gratifications—possibly because social encounters are perceived to be less controllable in the social media environment.

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                Author and article information

                Journal
                Social Media + Society
                Social Media + Society
                SAGE Publications
                2056-3051
                2056-3051
                January 2017
                January 01 2017
                January 2017
                : 3
                : 1
                : 205630511668803
                Affiliations
                [1 ]University of Hohenheim, Germany
                [2 ]University of Mainz, Germany
                [3 ]University of Michigan, USA
                [4 ]University of Illinois at Urbana–Champaign, USA
                Article
                10.1177/2056305116688035
                72145712-3c34-4bbc-8e4d-1da4a88664f3
                © 2017

                http://journals.sagepub.com/page/policies/text-and-data-mining-license

                History

                Quantitative & Systems biology,Biophysics
                Quantitative & Systems biology, Biophysics

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