The Modem Nation: A First Study on Twitch.TV Social Structure and Player/Game Relationships

Churchill, Benjamin C.B.; Xu, Wen

doi:10.1109/bdcloud-socialcom-sustaincom.2016.43

Cited by 31 publications

(27 citation statements)

References 10 publications

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“…The claim is that this ranking comes from the technical difficulty of games, Casual being the easiest to understand and Competitive being the most difficult and technically intensive (Churchill & Xu, 2016). However, Sjoblom et al (2017) tudy that when factoring game genre and stream/culture type together, Competitive stream types offer more, and more significant UG need satisfaction than Speedrunning stream types, indicating that perhaps the Competitive community should be larger (Sjoblom et al, 2017).…”

Section: Ugt and Twitchmentioning

confidence: 99%

“…The interaction between streamers and their audience is affected by the size of the stream.Streamers generally reported that they could interact effectively with 100 m, taking game play suggestions, and so on; beyond that number interaction was often unmanageable and the social aspects, even between users, was diminished A curious finding about the relation between stream type and game genre emerges when looking at the size of communities as a whole. Churchill and Xu (2016) found in a social network analysis of streamers that the Casual Streaming culture is the largest, followed by the Speed culture, and finally the Competitive culture. The claim is that this ranking comes from the technical difficulty of games, Casual being the easiest to understand and Competitive being the most difficult and technically intensive (Churchill & Xu, 2016).…”

Section: Ugt and Twitchmentioning

confidence: 99%

“…Churchill and Xu (2016) found in a social network analysis of streamers that the Casual Streaming culture is the largest, followed by the Speed culture, and finally the Competitive culture. The claim is that this ranking comes from the technical difficulty of games, Casual being the easiest to understand and Competitive being the most difficult and technically intensive (Churchill & Xu, 2016). However, Sjoblom et al (2017) tudy that when factoring game genre and stream/culture type together, Competitive stream types offer more, and more significant UG need satisfaction than Speed running stream types, indicating that perhaps the Competitive community should be larger ations with "social interaction, learning and entertainment" as "important aspects of spectatorship" (Sjoblom & Hamari, 2016).…”

Section: Ugt and Twitchmentioning

confidence: 99%

“…The interaction between streamers and their audience is affected by the size of the stream.Streamers generally reported that they could interact effectively with 100-150 viewers m, taking game play suggestions, and so on; beyond that number interaction was often unmanageable and the social aspects, even between users, was diminished erges when looking at the size of communities as a whole. Churchill and Xu (2016) found in a social network analysis of streamers that the Casual Streaming culture is the largest, followed by the Speed-Running…”

Section: Ugt and Twitchmentioning

confidence: 99%

“…During their social network analysis of Twitch, Churchill and Xu (2016) visualized communities by specific games and community/culture types (Competitive, Casual, and Speedrun). Strong connections between game franchises were found, along with fairly well integrated cultures.…”

Section: Ugt and Twitchmentioning

confidence: 99%

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2018

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Section: Ugt and Twitchmentioning

confidence: 99%

Section: Ugt and Twitchmentioning

confidence: 99%