  Large-scale streaming platforms such as Twitch are becoming increasingly
popular, but detailed audience-streamer interaction dynamics remain unexplored
at scale. In this paper, we perform a mixed-methods study on a dataset with
over 12 million audience chat messages and 45 hours of streaming video to
understand audience participation and streamer performance on Twitch. We
uncover five types of streams based on size and audience participation styles:
Clique Streams, small streams with close streamer-audience interactions; Rising
Streamers, mid-range streams using custom technology and moderators to
formalize their communities; Chatter-boxes, mid-range streams with established
conversational dynamics; Spotlight Streamers, large streams that engage large
numbers of viewers while still retaining a sense of community; and
Professionals, massive streams with the stadium-style audiences. We discuss
challenges and opportunities emerging for streamers and audiences from each
style and conclude by providing data-backed design implications that empower
streamers, audiences, live streaming platforms, and game designers
