“Tinder Will Know You Are A 6”: Users’ Perceptions of Algorithms on Tinder

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2022-01-04
Authors
Abel, Christie
Pei, Lucy
Larson, Ian
Olgado, Benedict Salazar
Turner, Benedict
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Through in-depth interviews of 22 Tinder users, we explore how users interpret their algorithmically mediated experience on the platform. We find that users have various explanations of whether and how Tinder uses algorithms and that users have varying degrees of certainty about these explanations. In response, users report that they act in particular ways given their explanations and degree of certainty. We discuss how users, as part of their sensemaking practice around how algorithms work, engage in forms of improvisation. In addition, we argue that algorithm awareness leads to a more nuanced acknowledgement of inequality and power, including the power-laden roles of platforms themselves.
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Critical and Ethical Studies of Digital and Social Media, algorithm awareness, algorithmic bias, folk theories, intimate platforms, online dating
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10 pages
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Proceedings of the 55th Hawaii International Conference on System Sciences
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Attribution-NonCommercial-NoDerivatives 4.0 International
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