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Interact."],"published-print":{"date-parts":[[2018,11]]},"abstract":"<jats:p>Bots, or programs designed to engage in social spaces and perform automated tasks, are typically understood as automated tools or as social \"chatbots.\" In this paper, we consider their place alongside users in the emerging social ecosystem of audience participation platforms, through the application of Structural Role Theory. We perform a large-scale analysis of activity levels of user-designed bots on Twitch, finding that they communicate at a much greater rate than any other type of user. We build on a classification scheme derived from prior literature on bot functionalities to identify the roles bots play on Twitch, how these roles vary across different types of Twitch communities, and how users engage with them and vice versa. 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