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Steeves revisits empirical data about young people’s experiences on social media to provide a snapshot of what happens to the interaction between self and others when community is organized algorithmically. She then uses Meadian notions of sociality to offer a theoretical framing that can explain the meaning of self, other, and community found in the data. She argues that young people interact with algorithms as if they were another social actor, and reflexively examine their own performances from the perspective of the algorithm as a specific form of generalized other. In doing so, they pay less attention to the other people they encounter in online spaces and instead orient themselves to action by emulating the values and goals of this algorithmic other. Their performances can accordingly be read as a concretization of these values and goals, making visible the agenda of those who mobilize the algorithm for their own purposes.
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