08-08, 14:15–14:55 (Poland), Ohrid (9)(interpretation)
Language: English
Wikimedians can now choose from several machine learning models which provide insight into different aspects of revisions. But which one is right for your wiki? We'll take a subjective and user-centric tour of the models and the proposed Automoderator feature.
With the advent of the Automoderator tool, communities will have a tool for automatic reverts at their disposal. But there are more similar algorithms out there, and not all are born equal.
This session will take a subjective and user-centric look at three of the ML models available from WMF's teams, with a case study from the Romanian Wikipedia, in order to familiarize the audience with the pros and cons of the different models.
Session recording: https://youtu.be/govhrZZjV6s?t=15570
The Automoderator tool is developed solely by the WMF, but with Lift Wing, at least in theory, anyone can deploy an ML model for the community to use. By presenting this subject to the community, I hope to foster more collaboration within the community and more openness from the development team.
What is the experience level needed for the audience for your session?* –Everyone can participate in this session
How do you plan to deliver this session?* –Onsite in Katowice
What other themes or topics does your session fit into? Please choose from the list of tags below. –Product development
Programmer by formation, Wikipedian for 18+ years.