Thanks for the article, Denny.
A couple of weeks ago, I posted a proposal to use machine learning to
identify problematic talk page behaviour at the English Wikipedia's Village
The ideas seem roughly equivalent: the main aim is to make people aware of
it when they are about to engage in counterproductive behaviour, and to
ensure there is more timely feedback and outside input.
Personally, I think the community needs a push like this in order to make
that cultural shift. It is encouraging to learn that such an effort can
yield tangible results in practice (something a few of the commenters at
the Village Pump were doubtful about).
Please review the linked Village Pump discussion, and provide input on how
and whether this could be made to work in Wikipedia.
On Fri, Nov
13, 2015 at 3:12 PM, Denny Vrandečić <vrandecic(a)gmail.com>
> Very interesting read (via Brandon Harris):
> "the vast majority of negative behavior ... did not originate from the
> persistently negative online citizens; in fact, 87 percent of online
> toxicity came from the neutral and positive citizens just having a bad
> here or there."
> "... incidences of homophobia, sexism and racism ... have fallen to a
> combined 2 percent of all games. Verbal abuse has dropped by more than
> percent, and 91.6 percent of negative players
change their act and never
> commit another offense after just one reported penalty."
> I have plenty of ideas how to apply this to Wikipedia, but I am sure
> and his team as well :) - and some
opportunity for the communities to
> such results.
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