On Sat, Nov 14, 2015 at 9:13 PM, Benjamin Lees <emufarmers(a)gmail.com> wrote:
This article highlights the happier side of things,
but it appears
that Lin's approach also involved completely removing bad actors:
"Some players have also asked why we've taken such an aggressive
stance when we've been focused on reform; well, the key here is that
for most players, reform approaches are quite effective. But, for a
number of players, reform attempts have been very unsuccessful which
forces us to remove some of these players from League entirely."[0]
Thanks for the added context, Benjamin. Of course, banning bad actors that
they consider unreformable is something Wikipedia admins have always done
as well.
The League of Legends team began by building a dataset of interactions that
the community considered unacceptable, and then applied machine-learning to
that dataset.
It occurs to me that the English Wikipedia has ready access to such a
dataset: it's the totality of revision-deleted and oversighted talk page
posts. The League of Legends team collaborated with outside scientists to
analyse their dataset. I would love to see the Wikimedia Foundation engage
in a similar research project.
I've added this point to the community wishlist survey:
https://meta.wikimedia.org/wiki/2015_Community_Wishlist_Survey#Machine-lear…
P.S. As Rupert noted, over 90% of LoL players are male
(how much over
90%?).[1] It would be interesting to know whether this percentage has
changed along with the improvements described in the article.
Indeed.