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User Perception of Facebook App Data Access: A Comparison of Methods and Privacy Concerns

Author

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  • Jennifer Golbeck

    (Human-Computer Interaction Lab, University of Maryland, College Park, MD 20742, USA)

  • Matthew Louis Mauriello

    (Human-Computer Interaction Lab, University of Maryland, College Park, MD 20742, USA)

Abstract

Users share vast amounts of personal information online, but are they fully aware of what information they are sharing and with whom? In this paper, we focused on Facebook apps and set out to understand how concerned users are about privacy and how well-informed they are about what personal data apps can access. We found that initially, subjects were generally under-informed about what data apps could access from their profiles. After viewing additional information about these permissions, subjects’ concern about privacy on Facebook increased. Subjects’ understanding of what data apps were able to access increased, although even after receiving explicit information on the topic, many subjects still did not fully understand the extent to which apps could access their data.

Suggested Citation

  • Jennifer Golbeck & Matthew Louis Mauriello, 2016. "User Perception of Facebook App Data Access: A Comparison of Methods and Privacy Concerns," Future Internet, MDPI, vol. 8(2), pages 1-14, March.
    • Handle: RePEc:gam:jftint:v:8:y:2016:i:2:p:9-:d:66527
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    References listed on IDEAS

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    1. Rajagopal, 2014. "The Human Factors," Palgrave Macmillan Books, in: Architecting Enterprise, chapter 9, pages 225-249, Palgrave Macmillan.
    2. Tom Buchanan & Carina Paine & Adam N. Joinson & Ulf‐Dietrich Reips, 2007. "Development of measures of online privacy concern and protection for use on the Internet," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 58(2), pages 157-165, January.
    3. Shi-Woei Lin & Yu-Cheng Liu, 2012. "The effects of motivations, trust, and privacy concern in social networking," Service Business, Springer;Pan-Pacific Business Association, vol. 6(4), pages 411-424, December.
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    Cited by:

    1. Annetta Burger & Talha Oz & William G. Kennedy & Andrew T. Crooks, 2019. "Computational Social Science of Disasters: Opportunities and Challenges," Future Internet, MDPI, vol. 11(5), pages 1-31, April.
    2. Salvatore Carta & Ludovico Boratto, 2016. "Introduction to the Special Issue on Human–Computer Interaction and the Social Web," Future Internet, MDPI, vol. 8(3), pages 1-2, September.

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