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An Ultimatum Game Model for the Evolution of Privacy in Jointly Managed Content

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Decision and Game Theory for Security (GameSec 2017)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 10575))

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Abstract

Content sharing in social networks is now one of the most common activities of internet users. In sharing content, users often have to make access control or privacy decisions that impact other stakeholders or co-owners. These decisions involve negotiation, either implicitly or explicitly. Over time, as users engage in these interactions, their own privacy attitudes evolve, influenced by and consequently influencing their peers. In this paper, we present a variation of the one-shot Ultimatum Game, wherein we model individual users interacting with their peers to make privacy decisions about shared content. We analyze the effects of sharing dynamics on individuals’ privacy preferences over repeated interactions of the game. We theoretically demonstrate conditions under which users’ access decisions eventually converge, and characterize this limit as a function of inherent individual preferences at the start of the game and willingness to concede these preferences over time. We provide simulations highlighting specific insights on global and local influence, short-term interactions and the effects of homophily on consensus.

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Notes

  1. 1.

    Note that we abstract ourselves from the actual privacy settings or access control paradigm used by the online social network provider. For each social media infrastructure or privacy policy language used, a mapping could be defined that turns available settings into values in [0, 1] and vice versa.

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Acknowledgements

Portions of Dr. Squicciarini’s and Mr. Semonsen’s work were funded by Army Research Office under the auspices of Grant W911NF-13-1-0271. Portions of Dr. Squicciarini’s work were additionally supported by a National Science Foundation grant 1453080. Dr. Such was supported by the EPSRC under grant EP/M027805/2.

Author information

Authors and Affiliations

  1. Pennsylvania State University, University Park, PA, USA

    Sarah Rajtmajer, Anna Squicciarini & Andrew Belmonte

  2. King’s College London, Strand, London, UK

    Jose M. Such

  3. Rutgers University, Breswick, NJ, USA

    Justin Semonsen

Authors
  1. Sarah Rajtmajer
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  2. Anna Squicciarini
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  3. Jose M. Such
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  4. Justin Semonsen
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  5. Andrew Belmonte
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Corresponding author

Correspondence to Anna Squicciarini .

Editor information

Editors and Affiliations

  1. Universität Klagenfurt, Klagenfurt, Austria

    Stefan Rass

  2. Nanyang Technological University, Singapore, Singapore

    Bo An

  3. University of Texas at El Paso, El Paso, Texas, USA

    Christopher Kiekintveld

  4. Carnegie Mellon University, Pittsburgh, Pennsylvania, USA

    Fei Fang

  5. AIT Austrian Institute of Technology GmbH, Klagenfurt, Austria

    Stefan Schauer

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Rajtmajer, S., Squicciarini, A., Such, J.M., Semonsen, J., Belmonte, A. (2017). An Ultimatum Game Model for the Evolution of Privacy in Jointly Managed Content. In: Rass, S., An, B., Kiekintveld, C., Fang, F., Schauer, S. (eds) Decision and Game Theory for Security. GameSec 2017. Lecture Notes in Computer Science(), vol 10575. Springer, Cham. https://doi.org/10.1007/978-3-319-68711-7_7

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  • DOI: https://doi.org/10.1007/978-3-319-68711-7_7

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