Could we build a model that detects paid (conflict-of-interest) editing? There's probably a general set of positive tone words that are likely in paid editing scenarios that we can pick up on. There's also likely some spacio-temporal patterns (e.g. editor just edits one page or pages closely linked).
Getting a training set should be relatively easy as we can look for structured edit comments and CSD tags. halfak is releasing a dataset of COI editors, we'll model them against normal editors.