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Cars, Condoms, and Facebook

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Information Security

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 7807))

Abstract

Participation on Online Social Networks (OSNs) inherently requires information sharing and thus exposes individuals to privacy risks. Risk mitigation then has been encouraged through adoption of usable privacy controls. Apparently stronger privacy enhancing technologies (PETs) decrease both risk and perceptions of risk. As a result individuals feel safer and may respond by in fact accepting more risk. Such perverse results have been observed offline. Risk perception offline has been understood to be a function of characteristics of the risks involved rather than as a calculus grounded only in the probability of the risk and the magnitude of harm. In this work we use nine characteristics of risk from a classic and proven offline model of perceived risk to conduct a survey based evaluation of perceptions of privacy risks on Facebook. We find that these dimensions of risk provide a statistically significant explanation of perceived risk of information sharing on Facebook.

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Notes

  1. 1.

    Age is not considered as the standard deviation for this variable is \({\approx }0\).

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Author information

Authors and Affiliations

  1. Drexel University, Philadelphia, USA

    Vaibhav Garg & L. Jean Camp

  2. Indiana University, Bloomington, USA

    L. Jean Camp

Authors
  1. Vaibhav Garg
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  2. L. Jean Camp
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Corresponding author

Correspondence to Vaibhav Garg .

Editor information

Editors and Affiliations

  1. University of Texas at Dallas, Richardson, Texas, USA

    Yvo Desmedt

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Garg, V., Jean Camp, L. (2015). Cars, Condoms, and Facebook. In: Desmedt, Y. (eds) Information Security. Lecture Notes in Computer Science(), vol 7807. Springer, Cham. https://doi.org/10.1007/978-3-319-27659-5_20

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  • DOI: https://doi.org/10.1007/978-3-319-27659-5_20

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-27658-8

  • Online ISBN: 978-3-319-27659-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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