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 Pump.[1]
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.
[1] https://en.wikipedia.org/wiki/Wikipedia:Village_pump_(proposals)#Proposed:_T... Permalink: https://en.wikipedia.org/w/index.php?title=Wikipedia:Village_pump_(proposals...
On Fri, Nov 13, 2015 at 3:12 PM, Denny Vrandečić vrandecic@gmail.com wrote:
Very interesting read (via Brandon Harris):
http://recode.net/2015/07/07/doing-something-about-the-impossible-problem-of...
"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
day
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
40
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
Dario
and his team as well :) - and some opportunity for the communities to
use
such results.
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