A slice of life in my virtual community
Global networks
The quality of online social relationships
Communications of the ACM - How the virtual inspires the real
Think different: increasing online community participation using uniqueness and group dissimilarity
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Using social psychology to motivate contributions to online communities
CSCW '04 Proceedings of the 2004 ACM conference on Computer supported cooperative work
Motivating participation by displaying the value of contribution
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
SuggestBot: using intelligent task routing to help people find work in wikipedia
Proceedings of the 12th international conference on Intelligent user interfaces
Talk amongst yourselves: inviting users to participate in online conversations
Proceedings of the 12th international conference on Intelligent user interfaces
Crafting the initial user experience to achieve community goals
Proceedings of the 2008 ACM conference on Recommender systems
Socialization tactics in wikipedia and their effects
Proceedings of the 2010 ACM conference on Computer supported cooperative work
Encouraging user participation in a course recommender system: An impact on user behavior
Computers in Human Behavior
Personalized incremental users' engagement: driving contributions one step forward
Proceedings of the 17th ACM international conference on Supporting group work
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Although successful online communities have engaged thousands of users, designers still struggle to recruit newcomers and increase current contribution rates. Related work on encouraging contributions has drawn from Social Psychology, Sociology and Economics theories. Engagement mechanisms embed the principles of these theories, and experimental studies evaluate the impact of different mechanisms on the contribution rates. Significant differences among alternative engagement mechanisms have been found, however, the results are sometimes contradictory for different groups of users. Our hypothesis is that the effectiveness of engagement mechanisms may depend on users' characteristics, and not solely on the mechanism itself. To start exploring this hypothesis, we performed a study to evaluate the impact of recruitment and engagement messages on different users' cohorts. Levels of current participation rates and demographic data were analyzed in order to explain differences in the impact of these engagement strategies.