Hello everyone!

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: https://meta.wikimedia.org/wiki/Research:Facilitating_Public_Deliberation_of...

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