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On Nov 30, 2016 2:00 PM, <ai-request@lists.wikimedia.org> wrote:
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Today's Topics:

   1. The Revision scoring weekly update (Aaron Halfaker)


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Message: 1
Date: Tue, 29 Nov 2016 18:34:11 -0500
From: Aaron Halfaker <aaron.halfaker@gmail.com>
To: Application of Artificial Intelligence and other advanced
        computing strategies to Wikimedia Projects <ai@lists.wikimedia.org>,
        Wikimedia developers <wikitech-l@lists.wikimedia.org>
Subject: [AI] The Revision scoring weekly update
Message-ID:
        <CANQe2T_GAqzZYraq7vm+WcSZi+x-1p7K_HP1PTvYgjEUY4_OrQ@mail.gmail.com>
Content-Type: text/plain; charset="utf-8"

Hey,

This is the 30th and 31st weekly update from the revision scoring team that
we have sent to this mailing list.  We accidentally skipped a week again.

*New development:*

   - We added a new "lowest" sensitivity level to ORES review tool.  This
   new sensistivity level will only flag edits that ORES is very confident are
   actually damaging[1].


   - We applied the MediaWiki standard color palette to Wikilabels[2]


   - We generated a manually censored public dataset of
   spam/vandalism/attack pages[3].  This will help others to develop spam,
   vandalism and attack page detection models.  See the publication of the
   dataset[4].


   - We've implement color-based confidence reporting for ORES damage
   detection[5]


*Maintenance and robustness:*

   - We updated the version of OOjs-UI that gets bundled with Wiki
   labels[6] and moved the static assets to a new repositiory[7]


   - We fixed an issue in the recscoring library[8] that caused ORES to
   return invalid JSON and rendered the UI useless[9].


*Communications:*

   - We gave a 3 minute presentation on the state of ORES to Victoria
   Coleman, the WMF's new CTO[10].


   - We performed a basic analysis of Wikipedia article quality trends
   using the dataset we released a few weeks ago[11].  We'll have a more
   substantial analysis soon.


   - We made a post on the ORES review tool talk page[12,13] detailing how
   we plan to incorporate a new filtering strategy into the ORES review tool.
   Please join the discussion there.


1. https://phabricator.wikimedia.org/T150224 -- Add "Lowest" ORES
sensitivity for fpr=0.1
2. https://phabricator.wikimedia.org/T151119 -- Apply ui standardization
color palette to Wikilabels
3. https://phabricator.wikimedia.org/T150307 -- Create manually vetted
dataset of spam/vandalism/attack pages
4. https://dx.doi.org/10.6084/m9.figshare.4245035
5. https://phabricator.wikimedia.org/T144922 -- Visually report damaging
confidence
6. https://phabricator.wikimedia.org/T151222 -- Update bundled OOJS-ui with
Wikilabels
7. https://github.com/wiki-ai/flask-oojsui
8. https://phabricator.wikimedia.org/T150961 -- ORES ui is broken (text
field disabled)
9. https://github.com/wiki-ai/ores/issues/177
10. https://phabricator.wikimedia.org/T150544 -- ORES (a 2-3 minute
presentation)
11. https://phabricator.wikimedia.org/T151214 -- Basic analysis of
Wikipedia quality using monthly predictions
12. https://phabricator.wikimedia.org/T150858 -- Post about ORES review
tool including ERI filters
13. https://www.mediawiki.org/wiki/Topic:Tflhjj5x1numzg67

Sincerely,
Aaron from the Revision Scoring team
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