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This article addresses streaming television platforms’ reliance on algorithms, serial narratives, and user interfaces, and the effect of these strategies on the television viewing audience. The datafication of television means that opaque, proprietary computational processes play a significant role in the television that gets made and that gets watched, and also steer viewing practice and reshape the identity of the viewing public. I argue that user interfaces, data tracking, seriality, and algorithms have thus far proven to be inadequate strategies for navigating the vast databases offered by streaming platforms. In practice, these systems offload work to viewers and actively create obstacles to the formation of a collective viewing experience. Algorithmic audiences are trained to be sequential viewers, labor intensive, and isolated.

Algorithmic Audiences, Serialized Streamers, and the Discontents of Datafication