Getting Played: Gamification and the Rise of Algorithmic Surveillance

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Casey O'Donnell


Gamification, the idea that game mechanics can be integrated into assumed "non-game" circumstances has gained ascendance amongst champions of marketing, behavior change and efficiency. Ironically, some of the most heated critique to gamification has been the broader community of "traditional" videogame developers. Connecting broadly to projects surrounding "big data" and algorithmic surveillance, the project of gamification continues to expand and intensify. This paper examines the complex relationship between game designers and the rise of arguments in support of gamification. The essay presents an analysis of the various actors and interests mobilizing arguments, deconstructing their underlying assumptions about the relationship between games and social phenomena. Turning to an analytic framework rooted in Actor-Network Theory (Latour, 1999) and work in Game Studies on the Assemblage of Play (Taylor, 2009) and emergent forms of (played) control (Taylor, 2006) the essay critiques assumptions on either side of the debate on the role of games and play. The strained connections between debates on gamification and broader interest in serious games offers an important moment to explore algorithmic surveillance.

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How to Cite
O'DONNELL, Casey. Getting Played: Gamification and the Rise of Algorithmic Surveillance. Surveillance & Society, [S.l.], v. 12, n. 3, p. 349-359, june 2014. ISSN 1477-7487. Available at: <>. Date accessed: 19 oct. 2017.
Gamification; Gamepocalypse; Surveillance; Algorithmic Surveillance; Game Design; Game Mechanics