MoodBar: Increasing new user retention in Wikipedia through lightweight socialization
Giovanni Luca Ciampaglia, Dario Taraborelli

TL;DR
This paper presents MoodBar, a lightweight socialization tool that improves new user retention in Wikipedia by providing early feedback and mentoring, addressing scalability issues in traditional socialization methods.
Contribution
Introduction of MoodBar, a scalable socialization mechanism that enhances newcomer retention through lightweight feedback and early mentoring in Wikipedia.
Findings
Lightweight socialization increases newcomer retention.
Early feedback correlates with long-term contribution.
Scalable socialization methods are effective in large communities.
Abstract
Socialization in online communities allows existing members to welcome and recruit newcomers, introduce them to community norms and practices, and sustain their early participation. However, socializing newcomers does not come for free: in large communities, socialization can result in a significant workload for mentors and is hard to scale. In this study we present results from an experiment that measured the effect of a lightweight socialization tool on the activity and retention of newly registered users attempting to edit for the first time Wikipedia. Wikipedia is struggling with the retention of newcomers and our results indicate that a mechanism to elicit lightweight feedback and to provide early mentoring to newcomers improves their chances of becoming long-term contributors.
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