Imagine you’ve just spent 10 minutes working on what you earnestly
thought would be a helpful edit to your favorite article. You click
that bright blue “Publish changes” button for the very first time, and
you see your edit go live! Weeee! But 10 seconds later, you refresh
the page and discover that your edit has been reverted.
Actually, an AI system - called ORES- has contributed to the judgement
of hundreds of thousands of edits on Wikipedia. [[:mw:ORES|ORES]] is a
machine learning system that automatically predicts edit and article
quality to support editing tools in Wikipedia. I'm exploring
strategies for tuning ORES predictions about quality and vandalism to
your needs -- and I'd like to work with you!!!
I'm a HCI research at Carnegie Mellon University and I am are looking for editors
to discuss the values of Wikipedia as it relates to ORES. More details are available at:
If you are interested in participating, please fill out the short survey below.
If you have any suggestions or thoughts on the project, please also feel free to get in
touch with me!
Thanks so much!
Survey link: https://forms.gle/FEihgEWaG9wSv8Dr8