On Sat, Nov 14, 2015 at 9:13 PM, Benjamin Lees <emufarm...@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-learning_tool_to_reduce_toxic_talk_page_interactions > 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. _______________________________________________ Wikimedia-l mailing list, guidelines at: https://meta.wikimedia.org/wiki/Mailing_lists/Guidelines Wikimedia-l@lists.wikimedia.org Unsubscribe: https://lists.wikimedia.org/mailman/listinfo/wikimedia-l, <mailto:wikimedia-l-requ...@lists.wikimedia.org?subject=unsubscribe>
