Graham Mann, Indulis Bernsteins
DIMEA 2007
In large scale online multi-user communities, the phenomenon of 'participation inequality,' has been described as generally following a more or less 90-9-1 rule [9]. In this paper, we examine crowdsourcing participation levels inside the enterprise (within a company's firewall) and show that it is possible to achieve a more equitable distribution of 33-66-1. Accordingly, we propose a SCOUT ((S)uper Contributor, (C)ontributor, and (OUT)lier)) model for describing user participation based on quantifiable effort-level metrics. In support of this framework, we present an analysis that measures the quantity of contributions correlated with responses to motivation and incentives. In conclusion, SCOUT provides the task-based categories to characterize participation inequality that is evident in online communities, and crucially, also demonstrates the inequality curve (and associated characteristics) in the enterprise domain. © 2010 ACM.
Graham Mann, Indulis Bernsteins
DIMEA 2007
Amit Anil Nanavati, Nitendra Rajput, et al.
MobileHCI 2011
Amol Thakkar, Andrea Antonia Byekwaso, et al.
ACS Fall 2022
Smruti R. Sarangi, Karin Murthy
KDD 2010