http://www.thoughtcrumbs.com/publications/paper0778-burke.pdf
Using server log data from Facebook, author is able to predict long-term sharing based on experiences newcomers have in first two weeks. Tested in this research are: social learning, singling out, feedback and distribution.
The research supports social learning: newcomers who see their friends contributing go on to share more content themselves. Also, for newcomers inclined to share - receiving feedback and having a wide audience are also predictors of increased sharing.
Theories about participation:
social learning: what a user sees other users doing
feedback: effect that other users have on newcomers
distribution: general structure of content and exposure achieved through participation
The most consistent result found was for learning from friends. An increase in visible friend photo activity was always predictive of increased newcomer contribution. This suggests showing new users information about the content contributions of their friends make them more comfortable with contributing themselves. As newcomers see contributions their friends make, they become more aware of a particular feature on the site and may come to understand how that feature is used, both in terms of technically what is possible as well as what is socially acceptable.
Applications:
1. For newcomers who are active, highlight opportunities for others to leave them feedback and allowing the newcomers to increase the size of their audience may be particularly effective.
2. For newcomers who are relatively inactive, designers may want to encourage their friends to pay more attention to them - whether through singling them out in a public fashion or sending more directed private communication.













