preoccupations of contemporary culture. But what kind of clues, and how to access them? Unlike Goffman’s card gaming or Geertz’s cockfighting, machine gambling is not a symbolically profound, richly dimensional space whose “depth” can be pl…Most people define gambling as pure chance, where you don’t know the outcome. But at the machines I do know: either I’m going to win, or I’m going to lose. I don’t care if it takes coins, or pays coins: the contract is that when I put a new…
Sharon
other · 2 mentions across 1 reading
In this course
Without fuller context from these excerpts, Sharon appears to be a gambler or ethnographic subject interviewed about machine gambling practices, likely cited to ground an empirical understanding of how users actually experience algorithmic systems beyond theoretical models. The readings seem to use Sharon's account to challenge assumptions about chance and agency in automated systems—her claim that she "knows" the outcome despite randomness suggests how humans develop felt certainties around opaque computational processes. This perspective matters for the course's broader investigation of how AI systems shape cognition and behavior in everyday life.
Mentioned in 1 reading
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