Editing CommunityData:Twitch

We have an opportunity to study Twitch. For now, lets collect ideas and references that might be useful on this page. 

== Ideas ==
=== Community governance ===
How do streamers balance competing interests? 

A list of possible interests:
* community expressiveness (free speech, interacting with the community)
* entertainment
* control over the community
* attracting / pleasing advertisers
* attracting / pleasing donors
* compliance with platform requirements
* attracting and maintaining a community

=== Streamer success === 

Can we predict which channels will take off? 

Theories of streamer success: 

* Density dependence (prediction: those among the first to stream a game or activity in the early stages of the game's popularity will succeed)
* Resource partitioning (prediction: those who differentiate from others streaming the same game or activity can also succeed)
* Density dependence and resource partitioning looking at viewer overlaps.
* Cross-site communities (those who active in another community will succeed (search gaming sites, forums, reddit, youtube, for evidence)  
* Preferential attachment (prediction: those who get popular quicker get more popular)  
* Stage / development model (What is important may vary along developmental trajectories)
* Mutualism: Streamers who enter mutualistic relationships with one another (have their communities spam their faces, advertise for one another, show the other's stream on their channel) will be more successful.

=== Interaction on Twitch === 
How does Twitch produce 

== Social computing papers about Twitch ==

* [https://dl.acm.org/citation.cfm?id=2859022&CFID=1004081028&CFTOKEN=89650019| Performing Play: Cultural Production on Twitch.tv ]
* [https://dl.acm.org/citation.cfm?id=3025708&CFID=1004081028&CFTOKEN=89650019| Expanding Video Game Live-Streams with Enhanced Communication Channels: A Case Study]
* [https://dl.acm.org/citation.cfm?id=3025708&CFID=1004081028&CFTOKEN=89650019| Streaming on twitch: fostering participatory communities of play within live mixed media]
* [https://dl.acm.org/citation.cfm?id=2998277&CFID=1004081028&CFTOKEN=89650019| Shaping Pro and Anti-Social Behavior on Twitch Through Moderation and Example-Setting]
@@ Line 20: / Line 20: @@
 Theories of streamer success:
-* '''Density dependence'''
+* Density dependence (prediction: those among the first to stream a game or activity in the early stages of the game's popularity will succeed)
-** Prediction: those among the first to stream a game or activity in the early stages of the game's popularity will succeed
+* Resource partitioning (prediction: those who differentiate from others streaming the same game or activity can also succeed)
-* '''Resource partitioning'''
+* Density dependence and resource partitioning looking at viewer overlaps.
-** Prediction: those who differentiate from others streaming the same game or activity can also succeed
+* Cross-site communities (those who active in another community will succeed (search gaming sites, forums, reddit, youtube, for evidence)
-** Prediction: those who keep consistent time slots for streaming can succeed
+* Preferential attachment (prediction: those who get popular quicker get more popular)
-** Density dependence and resource partitioning looking at viewer overlaps.
+* Stage / development model (What is important may vary along developmental trajectories)
-* '''Cross-site communities'''
+* Mutualism: Streamers who enter mutualistic relationships with one another (have their communities spam their faces, advertise for one another, show the other's stream on their channel) will be more successful.
-** Prediction: those who are active in another community will succeed (search gaming sites, forums, Reddit, YouTube, for evidence
-** Prediction: top players in games attract more viewers than average / low rated players.
-* '''Preferential attachment'''
-** Prediction: those who get popular quicker get more popular
-** Those who get popular first within a genre continue getting popular.
-* '''Stage / development model''' (What is important may vary along developmental trajectories)
-** Normal -> Affiliate -> Partner
-** Affiliate and Partner Twitch programs offer streamers ways to make money not just for themselves but for Twitch as well
-* '''Mutualism'''
-** Streamers who enter mutualistic relationships with one another (have their communities spam their faces, advertise for one another, host the other's stream on their channel) will be more successful.
-*** Does hosting other streams increase streamer followers / subscribers?
 === Interaction on Twitch ===
-Why do people love Twitch? What makes the experience so fun? Why are people so willing to donate?
+How does Twitch produce
-The Chatroom experience seems so important. But how do people experience it?  What challenges does the fast paced chat create for moderation? How do overlays encourage interaction in Twitch?
-This set of questions are more qualitative or maybe suitable for a laboratory study. This seems to have attracted a fair amount of prior attention.
 == Social computing papers about Twitch ==
-* [https://dl.acm.org/citation.cfm?id=2859022&CFID=1004081028&CFTOKEN=89650019 Performing Play: Cultural Production on Twitch.tv ]
+* [https://dl.acm.org/citation.cfm?id=2859022&CFID=1004081028&CFTOKEN=89650019| Performing Play: Cultural Production on Twitch.tv ]
-* [https://dl.acm.org/citation.cfm?id=3025708&CFID=1004081028&CFTOKEN=89650019  Expanding Video Game Live-Streams with Enhanced Communication Channels: A Case Study]
+* [https://dl.acm.org/citation.cfm?id=3025708&CFID=1004081028&CFTOKEN=89650019| Expanding Video Game Live-Streams with Enhanced Communication Channels: A Case Study]
-* [https://dl.acm.org/citation.cfm?id=2557048  Streaming on twitch: fostering participatory communities of play within live mixed media]
+* [https://dl.acm.org/citation.cfm?id=3025708&CFID=1004081028&CFTOKEN=89650019| Streaming on twitch: fostering participatory communities of play within live mixed media]
-* [https://dl.acm.org/citation.cfm?id=2998277&CFID=1004081028&CFTOKEN=89650019  Shaping Pro and Anti-Social Behavior on Twitch Through Moderation and Example-Setting]
+* [https://dl.acm.org/citation.cfm?id=2998277&CFID=1004081028&CFTOKEN=89650019| Shaping Pro and Anti-Social Behavior on Twitch Through Moderation and Example-Setting]