This paper presents a model of the behavior of candidates for promotion to administrator status in Wikipedia. It uses a policy capture framework to highlight similarities and differences in the community's stated criteria for promotion decisions to those criteria actually correlated with promotion success. As promotions are determined by the consensus of dozens of voters with conflicting opinions and unwritten expectations, the results highlight the degree to which consensus is truly reached. The model is fast and easily computable on the fly, and thus could be applied as a self-evaluation tool for editors considering becoming administrators, as a dashboard for voters to view a nominee's relevant statistics, or as a tool to automatically search for likely future administrators. Implications for distributed consensus-building in online communities are discussed.
['Moira Burke', 'Robert E. Kraut']
Mopping up: modeling wikipedia promotion decisions