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

Sarah Rajtmajer; Anna Squicciarini; Jose M Such; Justin Semonsen; Andrew Belmonte

doi:10.1007/978-3-319-68711-7_7

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

Sarah Rajtmajer, Anna Squicciarini^*, Jose M Such, Justin Semonsen, Andrew Belmonte

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Other chapter contribution › peer-review

25 Citations (Scopus)

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.

Original language	English
Title of host publication	Decision and Game Theory for Security - 8th International Conference, GameSec 2017, Proceedings
Publisher	Springer Verlag
Pages	112-130
Number of pages	19
Volume	10575 LNCS
ISBN (Print)	9783319687100
DOIs	https://doi.org/10.1007/978-3-319-68711-7_7
Publication status	E-pub ahead of print - 4 Oct 2017
Event	8th International Conference on Decision and Game Theory for Security, GameSec 2017 - Vienna, Austria Duration: 23 Oct 2017 → 25 Oct 2017

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10575 LNCS
ISSN (Print)	03029743
ISSN (Electronic)	16113349

Conference

Conference	8th International Conference on Decision and Game Theory for Security, GameSec 2017
Country/Territory	Austria
City	Vienna
Period	23/10/2017 → 25/10/2017

Access to Document

10.1007/978-3-319-68711-7_7

Cite this

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 Decision and Game Theory for Security - 8th International Conference, GameSec 2017, Proceedings (Vol. 10575 LNCS, pp. 112-130). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10575 LNCS). Springer Verlag. Advance online publication. https://doi.org/10.1007/978-3-319-68711-7_7

Rajtmajer, Sarah ; Squicciarini, Anna ; Such, Jose M et al. / An Ultimatum Game Model for the Evolution of Privacy in Jointly Managed Content. Decision and Game Theory for Security - 8th International Conference, GameSec 2017, Proceedings. Vol. 10575 LNCS Springer Verlag, 2017. pp. 112-130 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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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{\textquoteright} privacy preferences over repeated interactions of the game. We theoretically demonstrate conditions under which users{\textquoteright} 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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Rajtmajer, S, Squicciarini, A, Such, JM, Semonsen, J & Belmonte, A 2017, An Ultimatum Game Model for the Evolution of Privacy in Jointly Managed Content. in Decision and Game Theory for Security - 8th International Conference, GameSec 2017, Proceedings. vol. 10575 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10575 LNCS, Springer Verlag, pp. 112-130, 8th International Conference on Decision and Game Theory for Security, GameSec 2017, Vienna, Austria, 23/10/2017. https://doi.org/10.1007/978-3-319-68711-7_7

An Ultimatum Game Model for the Evolution of Privacy in Jointly Managed Content. / Rajtmajer, Sarah; Squicciarini, Anna; Such, Jose M et al.
Decision and Game Theory for Security - 8th International Conference, GameSec 2017, Proceedings. Vol. 10575 LNCS Springer Verlag, 2017. p. 112-130 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10575 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Other chapter contribution › peer-review

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AU - Such, Jose M

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AU - Belmonte, Andrew

PY - 2017/10/4

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AB - 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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Rajtmajer S, Squicciarini A, Such JM, Semonsen J, Belmonte A. An Ultimatum Game Model for the Evolution of Privacy in Jointly Managed Content. In Decision and Game Theory for Security - 8th International Conference, GameSec 2017, Proceedings. Vol. 10575 LNCS. Springer Verlag. 2017. p. 112-130. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). Epub 2017 Oct 4. doi: 10.1007/978-3-319-68711-7_7

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

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