If you are an editor of the French, Italian or English Wikipedia, and you are curious about how to contribute to technologies for improving verifiability of Wikipedia articles, please read on—we need your help!

In the context of the Knowledge integrity program, we (the WMF Research team) are studying ways to flag unsourced statements needing a citation using machine learning, with the aim of identifying areas where adding high quality citations is particularly urgent or important. Following the success of the first labeling campaign, we now need to collect additional, high-quality labeled data regarding why sentences need citations.

You are invited to participate in a second annotation task. We used your input from the last experiment to generate a taxonomy of reasons why editors add citations. With this taxonomy now embedded in the interface, the annotation experience will be much faster and fun.

If you are interested in participating, please go to http://labels.wmflabs.org/ui/enwiki/ (replace enwiki with itwki or frwiki if you speak Italian or French), login, and  from 'Labeling Unsourced Statements II’,  request one (or more) workset.  For each task in a workset, the tool will show you an unsourced sentence in an article and ask you to annotate it. You can then label the sentence as needing an inline citation or not, and specify a reason for your choice from a drop-down menu.  If you can't respond please select 'skip'. You can also sign up by (optionally) adding your name on this page to receive updates about future campaigns and results from this research

If you have any question/comment on this project, please let us know by contacting miriam@wikimedia.org or leaving a message on the talk page of the project.

Thank you for your time!

Miriam, Jonathan, and Dario