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Name: Measuring the New Wikipedia Community
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Author(s):	Ryan Faulkner
Location	A2
Date	mar Wed 20	Days Raw Files
Start	15:10	First Raw Start	14:35
Duration	00:50:00	Offset	0:34:28
End	16:00	Last Raw End	16:39
Chapters	00:00 0:35:57
Total cuts_time	39 min.

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assets release.pdf Measuring_the_New_Wikipedia_Community.json
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I will be discussing the approaches taken by the Editor Engagement
Experimentation team at the Wikimedia Foundation to discover the new site
features that lead to stronger collaborative contributions from editors and
readers. The focus will be on how we define, gather and analyze our metrics
[2,3,4] and how these have been exposed via a RESTful API built with Flask.

I'll also discuss the experimental results of new features (article feedback,
post-edit feedback) and improved ones (account creation) in the context of the
analytics implementation with the "e3_analysis" [3,4] python package. Finally,
I will give an overview of the work we are carrying out on ranking the quality
of reader feedback comments using the pybrain [5] and mdp [6] machine learning
and data processing packages.

[1] http://meta.wikimedia.org/wiki/Editor_engagement_experiments

[2] https://meta.wikimedia.org/wiki/Research:Metrics

[3]
http://pypi.python.org/pypi?:action=display&name;=e3_analysis&version;=0.1.4

[4] https://github.com/rfaulkner/E3_analysis

[5] http://pybrain.org/

[6] http://mdp-toolkit.sourceforge.net/

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