Hi Miriam and Dario

I became aware of your project during a recent discussion with the Petr Knoth from the CORE OA aggregator around how the CORE recommender might be leveraged to generate potential citations for Wikipedia articles.

I linked to your wiki towards the end of this blogpost: The wisdom of the crowd? Crowdsourcing for information professionals

Thanks

Nick

From: OpenAccess [mailto:openaccess-bounces@lists.wikimedia.org] On Behalf Of Dario Taraborelli
Sent: 23 April 2018 12:04
To: wikicite-discuss <wikicite-discuss@wikimedia.org>; wikipedia-library@lists.wikimedia.org; Open Access discussions <openaccess@lists.wikimedia.org>
Subject: [OpenAccess] Participate in a labeling campaign to identify unsourced statements in need of citations

Hey everybody,

If you are an editor of the French, Italian or English Wikipedia interested to contribute in building technologies for improving missing citation detection in Wikipedia articles, please read on.

As part of our current work on verifiability, the Wikimedia Foundation’s Research team is studying ways to use machine learning to flag unsourced statements needing a citation. If successful, this project will allow us to identify areas where identifying high quality citations is particularly urgent or important.

To help with this project, we need to collect high-quality labeled data regarding individual sentences: whether they need citations, and why.

We created a tool for this purpose and  we would like to invite you to participate in a pilot. The annotation task should be fun, short, and straightforward for experienced Wikipedia editors.

If you are interested in participating, please proceed as follows:

· Sign-up by (optionally) adding your name in the sign-up page.

· Go to http://labels.wmflabs.org/ui/enwiki/, login, and  from 'Labeling Unsourced Statements’,  request one (or more) workset. Each workset takes maximum 5 minutes to complete and contains 5 tasks. There is no minimum number of worksets, but of course the more labels you provide, the better.

· 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 choices.

· If you can't respond, please select 'skip'. If you can respond but you are not 100% sure about your choice, please select 'Unsure'.

If you have any question/comment, please let us know by sending an email to miriam@wikimedia.org or leaving a message on the talk page of the project. We can

relatively easily adapt the tool if something needs to be changed.

Thank you for your time!

Miriam and Dario