Power Law Public Goods Game for Personal Information Sharing in News Commentaries

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We propose a public goods game model of user sharing in an online commenting forum. In particular, we assume that users who share personal information incur an information cost but reap the benefits of a more extensive social interaction. Freeloaders benefit from the same social interaction but do not share personal information. The resulting public goods structure is analyzed both theoretically and empirically. In particular, we show that the proposed game always possesses equilibria and we give sufficient conditions for pure strategy equilibria to emerge. These correspond to users who always behave the same way, either sharing or hiding personal information. We present an empirical analysis of a relevant data set, showing that our model parameters can be fit and that the proposed model has better explanatory power than a corresponding null (linear) model of behavior.

Original languageEnglish (US)
Title of host publicationDecision and Game Theory for Security - 10th International Conference, GameSec 2019, Proceedings
EditorsTansu Alpcan, Yevgeniy Vorobeychik, John S. Baras, György Dán
PublisherSpringer
Pages184-195
Number of pages12
ISBN (Print)9783030324292
DOIs
StatePublished - Jan 1 2019
Event10th International Conference on Decision and Game Theory for Security, GameSec 2019 - Stockholm, Sweden
Duration: Oct 30 2019Nov 1 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11836 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference10th International Conference on Decision and Game Theory for Security, GameSec 2019
CountrySweden
CityStockholm
Period10/30/1911/1/19

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All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Griffin, C., Rajtmajer, S., Umar, P., & Squicciarini, A. (2019). Power Law Public Goods Game for Personal Information Sharing in News Commentaries. In T. Alpcan, Y. Vorobeychik, J. S. Baras, & G. Dán (Eds.), Decision and Game Theory for Security - 10th International Conference, GameSec 2019, Proceedings (pp. 184-195). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11836 LNCS). Springer. https://doi.org/10.1007/978-3-030-32430-8_12