Abstract
As social networking sites continue to proliferate, online deception is becoming a significant problem. Deceptive users are now not only lone wolves propagating hate messages and inappropriate content, but also are more frequently seemingly honest users choosing to deceive for selfish reasons. Their behavior negatively influences otherwise honest online community members, creating a snowball effect that damages entire online communities. In this paper, we study the phenomenon of deception and attempt to understand the dynamics of users’ deception, using a game-theoretic approach. We begin by formulating the decision process of a single user as a Markov chain with time-varying rewards. We then study the specific optimization problem a user may face in choosing to deceive when they are influenced by (1) their potential reward, (2) peer pressure and (3) their deception comfort level. We illustrate reasonable equilibria can be achieved under certain simplifying assumptions. We then investigate the inverse problem: given equilibria, we show how we can fit a model to the data and how this model exposes information about the social structure.
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The data does not allow us to establish whether a user is directly replying to another one within the same thread or not.
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Acknowledgments
Portions of Dr. Griffin’s work were supported by the Army Research Office under Grant W911NF-11-1-0487. Portions of Dr. Griffin’s and Dr. Squicciarini’s work were supported by the Army Research Office under grant W911NF-13-1-0271.
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This article is part of the Topical Collection on Uncovering Deception in Social Media.
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Squicciarini, A., Griffin, C. Why and how to deceive: game results with sociological evidence. Soc. Netw. Anal. Min. 4, 161 (2014). https://doi.org/10.1007/s13278-014-0161-0
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DOI: https://doi.org/10.1007/s13278-014-0161-0