Brian wrote:
This extension is very important for training machine
learning
vandalism detection bots. Recently published systems use only hundreds
of examples of vandalism in training - not nearly enough to
distinguish between the variety found in Wikipedia or generalize to
new, unseen forms of vandalism. A large set of human created rules
could be run against all previous edits in order to create a massive
vandalism dataset.
As a machine-learning person, this seems like a somewhat
problematic
idea--- generating training examples *from a rule set* and then learning
on them is just a very roundabout way of reconstructing that rule set.
What you really want is a large dataset of human-labeled examples of
vandalism / non-vandalism that *can't* currently be distinguished
reliably by rules, so you can throw a machine-learning algorithm at the
problem of trying to come up with some.
-Mark