I think you misunderstand, its not about not flagging small changes. Its
about to high learning rate on small changes. When it is to high you can
simply run a spell checking bot for a few days to become an "expert".
You don't want this. You want someone who contribute a lot of text
without being reverted to become an expert. You probably also want to
analyse the form of the changes so a lot of small spell checkings is
weighted even less than correcting a year. Ie., changing from something
that is possibly an misspelling into something right is weighted less
than changing something correctly spelled into something else that is
also correctly spelled.
John E Blad
Luca de Alfaro skrev:
If you want to pick out the malicious changes, you
need to flag also
small changes.
"Sen. Hillary Clinton did *not* vote in favor of war in Iraq"
"John Doe, born in *1947*"
The ** indicates changes.
I can very well make a system that is insensitive to small changes,
but then the system would also be insensitive to many kinds of
malicious tampering, and one of my goals was to make it hard for
anyone to change without leaving at laest a minimal trace.
So it's a matter of goals, really.
Luca
On Dec 21, 2007 10:01 AM, Jonathan Leybovich <jleybov(a)gmail.com
<mailto:jleybov@gmail.com>> wrote:
One thing that stood out for me in the small sample of articles I
examined was the flagging of innocuous changes by casual users to
correct spelling, grammar, etc. Thus a "nice-to-have" would be a
"smoothing" algorithm that ignores inconsequential changes such as
spelling corrections, etc. or the reordering of semantically-contained
units of text (for example, reordering the line items in a list w/o
changing the content of any particular line item, etc., or the
reordering of paragraphs and perhaps even sentences.) I think this
would cover 90% or more of changes that are immaterial to an article's
credibility.
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