Many digitally mediated peer-production systems allow participants to define their own activities. The challenge in such systems, however, lies in retaining members beyond the first few interactions. To address this problem we must understand who these users are and why they begin to contribute. Importantly, there is scant empirical evidence on how motivations are associated with different trajectories of participation for new participants. Our study addresses this gap by combining a survey of new Wikipedia editors' motivations with an exploratory analysis of the editors' activity logs. Using clustering techniques to identify prototypical activity profiles from log data, we observe what motivations are associated with which prototypical activities. We find that new editors' motivations are predictive of their future activity. In particular our results indicate that reputation, social, enjoyment, and obligation motives differ among editor activity clusters.
|Title of host publication||Proceedings of the 10th International Conference on Web and Social Media, ICWSM 2016|
|Number of pages||4|
|State||Published - 2016|
|Event||10th International Conference on Web and Social Media, ICWSM 2016 - Cologne, Germany|
Duration: 17 May 2016 → 20 May 2016
|Name||Proceedings of the 10th International Conference on Web and Social Media, ICWSM 2016|
|Conference||10th International Conference on Web and Social Media, ICWSM 2016|
|Period||17/05/16 → 20/05/16|
Bibliographical noteFunding Information:
This work was partially supported by NSF grant ACI-1322218.
© Copyright 2016, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.
ASJC Scopus subject areas
- Computer Networks and Communications