I've reached out to Ghassan to try and determine what could have happened here. FWIW, I've been working with Ghassan for a while and I can vouch for his good faith contributions. I'm sure this was a mistake.On Wed, Nov 30, 2016 at 10:55 AM, Jonathan Morgan <jmorgan@wikimedia.org> wrote:excuse me?On Wed, Nov 30, 2016 at 7:38 AM, Ghassan Maslamani <ghassan.maslamani@gmail.com> wrote:The fuck AI request, be transparent
On Nov 30, 2016 2:00 PM, <ai-request@lists.wikimedia.org > wrote:Send AI mailing list submissions to
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Today's Topics:
1. The Revision scoring weekly update (Aaron Halfaker)
------------------------------------------------------------ ----------
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.gm >ail.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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