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OmniWedges: Improved Radar-Based Audience Selection for Social Networks

  • Frederic RaberEmail author
  • Antonio Krüger
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11749)

Abstract

Selecting the right audience for Facebook posts is a task that users often skip, resulting in unwanted post disclosure or avoidance of sharing sensitive posts. We present OmniWedges, a user interface designed to allow users of online social networks to make meaningful decisions on who to share their posts with. Our study results also show that with all Facebook friends, the error rate can be significantly reduced compared to the Facebook interface. In an interview, we were also able to spot a change in posting behavior and frequency with our interface.

Notes

Acknowledgments

This work was supported by the German Research Foundation (DFG) via the collaborative research center “Methods and Tools for Understanding and Controlling Privacy” (SFB 1223), project A7.

Supplementary material

Supplementary material 1 (wmv 32711 KB)

References

  1. 1.
    Christakis, N.A., Fowler, J.H.: Connected: The Surprising Power of Our Social Networks and How They Shape Our Lives. Back Bay Books, Boston (2011)Google Scholar
  2. 2.
    Christin, D., Reinhardt, A., Hollick, M., Trumpold, K.: Exploring user preferences for privacy interfaces in mobile sensing applications. In: MUM 2012. ACM, New York (2012)Google Scholar
  3. 3.
    Gross, R., Acquisti, A.: Information revelation and privacy in online social networks. In: WPES 2005, pp. 71–80. ACM, New York (2005)Google Scholar
  4. 4.
    Hassenzahl, M., Burmester, M., Koller, F.: AttrakDiff: Ein Fragebogen zur messung wahrgenommener hedonischer und pragmatischer Qualitaet. In: MuC 2003. B. G. Teubner (2013)Google Scholar
  5. 5.
    Paul, T., Puscher, D., Strufe, T.: Improving the usability of privacy settings in facebook. CoRR (2011)Google Scholar
  6. 6.
    Raber, F., Luca, A.D., Graus, M.: Privacy wedges: area-based audience selection for social network posts. In: SOUPS. Denver, CO (2016)Google Scholar
  7. 7.
    Raber, F., Vossebein, N.: URetail: privacy user interfaces for intelligent retail stores. In: Bernhaupt, R., Dalvi, G., Joshi, A., K. Balkrishan, D., O’Neill, J., Winckler, M. (eds.) INTERACT 2017. LNCS, vol. 10516, pp. 473–477. Springer, Cham (2017).  https://doi.org/10.1007/978-3-319-68059-0_54CrossRefGoogle Scholar

Copyright information

© IFIP International Federation for Information Processing 2019

Authors and Affiliations

  1. 1.DFKI Saarland Informatics CampusSaarbrückenGermany

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