Research Showcase May 8, 2018 (11:30 AM PDT| 18:30 UTC)

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Research Showcase May 8, 2018 (11:30 AM PDT| 18:30 UTC)

Sarah Rodlund
Hi Everyone,

The next Research Showcase will be live-streamed this Tuesday, May 8,
2018 at 11:30 AM (PDT), 18:30 (UTC). (Please note this meeting is on
Tuesday this month).

YouTube stream: https://www.youtube.com/watch?v=t7cHxlGgEt4

As usual, you can join the conversation on IRC at #wikimedia-research. And,
you can watch our past research showcases here.
<https://www.mediawiki.org/wiki/Wikimedia_Research/Showcase#Upcoming_Showcase>

Case studies in the appropriation of ORESBy *Aaron Halfaker*ORES is an
open, transparent, and auditable machine prediction platform for
Wikipedians to help them do their work. It's currently used in 33 different
Wikimedia projects to measure the quality of content, detect vandalism,
recommend changes to articles, and to identify good faith newcomers. The
primary way that Wikipedians use ORES' predictions is through the tools
developed by volunteers. These javascript gadgets, MediaWiki extensions,
and web-based tools make up a complex ecosystem of Wikipedian processes --
encoded into software. In this presentation, Aaron will walk through a
three key tools that Wikipedians have developed that make use of ORES, and
he'll discuss how these novel process support technologies and the
discussions around them have prompted Wikipedians to reflect on their work
processes.


Exploring Wikimedia Donation PatternsBy *Gary Hsieh*Every year, Wikimedia
Foundation relies on fundraising campaigns to help maintain the services it
provides to millions of people worldwide. However, despite a large number
of individuals who donate through these campaigns, these donors represent
only a small percentage of Wikimedia users. In this work, we seek to
advance our understanding of donors and their donation behaviors. Our
findings offer insights to improve fundraising campaigns and to limit the
burden of these campaigns on Wikipedia visitors.

Kindly,

Sarah R. Rodlund
Senior Project Coordinator-Product & Technology, Wikimedia Foundation
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Wiki-research-l mailing list
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https://lists.wikimedia.org/mailman/listinfo/wiki-research-l
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Fwd: [Analytics] Research Showcase May 8, 2018 (11:30 AM PDT| 18:30 UTC)

Dario Taraborelli-3
A reminder that this is starting in about 20 minutes from now. Tune in or
join us on IRC (#wikimedia-research) for a live Q&A.

---------- Forwarded message ---------
From: Sarah R <[hidden email]>
Date: Mon, May 7, 2018 at 6:14 AM
Subject: [Analytics] Research Showcase May 8, 2018 (11:30 AM PDT| 18:30 UTC)
To: <[hidden email]>, <[hidden email]>,
<[hidden email]>


Hi Everyone,

The next Research Showcase will be live-streamed this Tuesday, May 8,
2018 at 11:30 AM (PDT), 18:30 (UTC). (Please note this meeting is on
Tuesday this month).

YouTube stream: https://www.youtube.com/watch?v=t7cHxlGgEt4

As usual, you can join the conversation on IRC at #wikimedia-research. And,
you can watch our past research showcases here.
<https://www.mediawiki.org/wiki/Wikimedia_Research/Showcase#Upcoming_Showcase>

Case studies in the appropriation of ORESBy *Aaron Halfaker*ORES is an
open, transparent, and auditable machine prediction platform for
Wikipedians to help them do their work. It's currently used in 33 different
Wikimedia projects to measure the quality of content, detect vandalism,
recommend changes to articles, and to identify good faith newcomers. The
primary way that Wikipedians use ORES' predictions is through the tools
developed by volunteers. These javascript gadgets, MediaWiki extensions,
and web-based tools make up a complex ecosystem of Wikipedian processes --
encoded into software. In this presentation, Aaron will walk through a
three key tools that Wikipedians have developed that make use of ORES, and
he'll discuss how these novel process support technologies and the
discussions around them have prompted Wikipedians to reflect on their work
processes.


Exploring Wikimedia Donation PatternsBy *Gary Hsieh*Every year, Wikimedia
Foundation relies on fundraising campaigns to help maintain the services it
provides to millions of people worldwide. However, despite a large number
of individuals who donate through these campaigns, these donors represent
only a small percentage of Wikimedia users. In this work, we seek to
advance our understanding of donors and their donation behaviors. Our
findings offer insights to improve fundraising campaigns and to limit the
burden of these campaigns on Wikipedia visitors.

Kindly,

Sarah R. Rodlund
Senior Project Coordinator-Product & Technology, Wikimedia Foundation
_______________________________________________
Analytics mailing list
[hidden email]
https://lists.wikimedia.org/mailman/listinfo/analytics


--

*Dario Taraborelli  *Director, Head of Research, Wikimedia Foundation
research.wikimedia.org • nitens.org • @readermeter
<http://twitter.com/readermeter>
_______________________________________________
Wiki-research-l mailing list
[hidden email]
https://lists.wikimedia.org/mailman/listinfo/wiki-research-l