CommunityData:Twitch: Difference between revisions

Revision as of 21:06, 9 November 2017

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

Why do people love Twitch? What makes the experience so fun? Why are people so willing to donate? The Chatroom experience seems so important. But how do people experience it? What challenges does the fast paced chat create for moderation?

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.

@@ Line 29: / Line 29: @@
 === Interaction on Twitch ===
-How does Twitch produce
+Why do people love Twitch? What makes the experience so fun? Why are people so willing to donate?
+The Chatroom experience seems so important. But how do people experience it?  What challenges does the fast paced chat create for moderation?
+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 ==