Foundations of statistical natural language processing
Foundations of statistical natural language processing
The Case against Accuracy Estimation for Comparing Induction Algorithms
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
"Alone together?": exploring the social dynamics of massively multiplayer online games
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Design requirements for technologies that encourage physical activity
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
He says, she says: conflict and coordination in Wikipedia
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Modeling online creative collaborations
XRDS: Crossroads, The ACM Magazine for Students - Creativity + Computer Science
Let's get together: the formation and success of online creative collaborations
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The role of community in exercise: cross-cultural study of online exercise diary users
Proceedings of the 6th International Conference on Communities and Technologies
Steering user behavior with badges
Proceedings of the 22nd international conference on World Wide Web
Ensemble: exploring complementary strengths of leaders and crowds in creative collaboration
Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing
Achieve: evaluating the impact of progress logging and social feedback on goal achievement
Proceedings of the companion publication of the 17th ACM conference on Computer supported cooperative work & social computing
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At personal goal-setting websites, people join others in committing to a challenging goal, such as losing ten pounds or writing a novel in a month. Despite the popularity of these online communities, we know little about whether or how they improve goal performance. Based on theories of goal-setting and group attachment, we examine the influence of two social factors in an online "songwriting challenge" community: early feedback evoking a shared social identity, and one-on-one collaborations with other members. Combining five years of longitudinal behavioral data with member surveys, we find that users who engage in these social features perform better on their goals than those who are non-social. Furthermore, these early social experiences are associated with strong community-centric behaviors in the long term, including donating money and providing feedback to others.