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
Hello everyone,
I would like to share my deepest gratitude for everyone who responded to
the Wikimedia Communities and Contributors Survey. The survey has already
closed for this year. The quality of the results has improved because more
people responded. We heard from over 200 people who work in volunteer
developer spaces like Phabricator, IRC, Mediawiki, mailing lists, and many
others, which is a solid increase from last year.
We are working on analyzing the data already and hope to have something
published on meta in a couple months. Be sure to watch Community Engagement
Insights <https://meta.wikimedia.org/wiki/Community_Engagement_Insights>
for when we publish the reports. We will also message those individuals who
signed up on the thank you page or sent us an email to receive updates
about the report. Feel free to reach out to me directly at egalvez[at]
wikimedia.org or at my talk page on meta
<https://meta.wikimedia.org/wiki/User:EGalvez_(WMF)>.
Thank you again to everyone for sharing your opinions with us!
--
Edward Galvez
Evaluation Strategist, Surveys
Learning & Evaluation
Community Engagement
Wikimedia Foundation
****apologies for cross-posting***Colleagues,We, the DARIAH Community
Engagement Working Group <https://dariahre.hypotheses.org/>, are interested
in investigating the scholarly practices of different research communities
within the Arts and Humanities, and those that might use humanities-based
resources, methods or tools. As part of this investigative research, we are
keen to reach out to as many researchers as possible in the Arts and
Humanities, particularly to those who might not have previously engaged
with the DARIAH research infrastructure. We would therefore be very
grateful if you could fill out our short survey to give us an insight into
your research practices, particularly in relation to (digital) resources,
tools, and research infrastructures. The survey should take no more than 10
mins to complete.Any personal information we collect on this survey will be
held securely, and will not be disclosed to any third parties. The
information you provide in this survey will inform our ongoing work. At the
end of the survey, you will have the option to be included on a mailing
list to find out more about the DARIAH community and how it could help you
in your research.You can access the survey
here:https://goo.gl/forms/b0JD249STqP0zVfJ3
<https://goo.gl/forms/b0JD249STqP0zVfJ3> Many thanks in advance for your
participation!Eliza, Vicky and XanderCommunity Engagement Working
Group@CE_DARIAH*
(Apologies for cross-posting)
The organizing committee of the 9th Annual International Conference on
Social Media and Society (#SMSociety) invites you to visit wonderful
Copenhagen on July 18-20, 2018 to experience scholarly inspiration and
Nordic design excellence, architecture brilliance, gastronomic creativity,
and social inclusiveness. The 2018 conference will be held at the Copenhagen
Business School and hosted by the Centre for Business Data Analytics. This
year's theme is on "Networked Influence and Virality - REVISITED".
* Please register by May 1, 2018 to lock in the early-bird rate:
<http://socialmediaandsociety.org/registration/>
http://socialmediaandsociety.org/registration/
The Conference offers an intensive 3-day program including hands-on
workshops, full & work-in-progress papers, panels, and posters featuring the
latest in social media research. Our interdisciplinary community brings
researchers from a wide variety of disciplines including Communication,
Information Science, Education, Journalism, Management, Computer Science,
Political Science, Sociology, Health, and other fields. This year, we are
honoured to have a highly distinguished scholar and leader as our keynote
speaker:
* Prof. Karine Nahon - the elected president of the Israel Internet
Association (ISOC-IL), an Associate Professor of Information Science in the
Lauder School of Government and Ofer School of Communications at the
Interdisciplinary Center at Herzliya (IDC), Israel, and an Affiliated
Associate Professor in the Information School at University of Washington
(UW).
We hope you can join us for this exciting event and contribute to this
emerging research area! If you have any questions about the conference,
please email us at: <mailto:ask@socialmediaandsociety.org>
ask(a)socialmediaandsociety.org or visit our website at
http://socialmediaandsociety.org/
--
2018 #SMSociety Organizing Committee:
. Anatoliy Gruzd, Ryerson University - Conference Chair
. Ravi Vatrapu, Copenhagen Business School - Local Conference Chair
. Jenna Jacobson, Ryerson University - Conference Chair
. Philip Mai, Ryerson University - Conference Chair
. Anabel Quan-Haase, Western University - Panel Chair
. Luke Sloan, Cardiff University - Panel Chair
. K. Hazel Kwon, Arizona State University -WIP Papers Chair
. Jeff Hemsley, Syracuse University - WIP Papers Chair
. Jaigris Hodson, Royal Roads University - Poster Chair
[Crossposting to Research and Analytics lists]
Most Wikipedia articles with a weekly periodicity show more pageviews
on a typical weekday than a weekend. Some articles associated with
weekends (e.g. articles associated with a variety of hobbies) will
show relatively fewer pave views on weekdays.
Suppose I wanted to plot a heatmap with colors corresponding to the
strength of the weekly periodicity of the pageviews of articles shown
in different geographic locations.
(1) Has anyone done anything like this before?
(2) Is sufficient information available from the current logging regime?
Finally, I would also like to ask for review of this summarization, please:
https://www.mediawiki.org/w/index.php?title=Wikimedia_Technology%2FAnnual_P…
Best regards,
Jim
Hi everyone,
This is our last reminder for you to complete the Wikimedia Communities &
Contributors survey.
* To those of you who have taken the survey - thank you so much! We really
appreciate your responses. *
*This survey is closing in less than three days on Sunday 22 April 2018.*
*If you are volunteer developer, and have contributed code to any pieces of
MediaWiki, gadgets, or tools, please complete the survey. The opinions you
share will affect the work of the Wikimedia Foundation. *
*Follow this link to take the
survey: https://wikimedia.qualtrics.com/jfe/form/SV_5ABs6WwrDHzAeLr?aud=DEV
<https://wikimedia.qualtrics.com/jfe/form/SV_5ABs6WwrDHzAeLr?aud=DEV>If you
have already seen a similar message on Phabricator, Mediawiki.org,
Discourse, or other platforms for volunteer developers, please don't take
the survey twice. It is available in various languages and will take about
20 minutes to complete.You can find more information about
this survey on the project page
<https://meta.wikimedia.org/wiki/Community_Engagement_Insights/About_CE_> and
see how your feedback helps the Wikimedia Foundation support contributors
like you. This survey is hosted by a third-party service and governed
by this privacy statement
<https://wikimediafoundation.org/wiki/Community_Engagement_Insights_2018_Sur…>.
Please visit our frequently asked questions page
<https://meta.wikimedia.org/wiki/Community_Engagement_Insights/Frequently_as…>
to
find more information about this survey. Feel free to email me directly
with any questions you may have.Thank you!Edward Galvez from the Community
Engagement departmentWikimedia Foundation*
--
Edward Galvez
Evaluation Strategist, Surveys
Learning & Evaluation
Community Engagement
Wikimedia Foundation
[sharing because the URL was obscured in the Google Hangout on Air yesterday.]
---------- Forwarded message ----------
From: Nicholas Vincent <nickvincent(a)u.northwestern.edu>
Date: Fri, Apr 20, 2018 at 8:00 AM
Subject: Re: nice Wikimedia Research presentation
To: James Salsman <jsalsman(a)gmail.com>
Hey Jim,
Really glad you enjoyed the presentation!
Here's the link to my personal website:
http://www.nickmvincent.com
and to our lab website (which I should probably add to the slides!)
http://www.psagroup.org
Best,
Nick
On Fri, Apr 20, 2018 at 2:15 AM James Salsman <jsalsman(a)gmail.com> wrote:
>
> Nick,
>
> I really enjoyed your presentation.
>
> What is your web address, obscured in the attached?
>
> Thank you!
>
> Best regards,
> Jim
Hi everyone,
We are excited to announce that the 5th annual Wiki Workshop [1] will
take place in Lyon on April 24, 2018 and as part of The Web Conference
2018 (a.k.a. WWW2018) [2].
You can access the call for papers at
http://wikiworkshop.org/2018/#call . Please submit your ongoing or
completed research related to Wikimedia projects to the workshop. Note
that 2018-01-28 is the submission deadline if you want your paper to
appear in the proceedings, and 2018-03-11 is for all other papers.[3]
Following the past year's model, the workshop will have a set of
invited talks (Jon Kleinberg and Markus Kroetzsch have already
accepted our invitation [4] \o/), a poster session, and more.
Questions and comments are welcome. Otherwise, we're looking forward
to receiving your submissions and seeing you in Lyon in April. :)
Best,
Leila, on behalf of the organizers [5]
[1] http://wikiworkshop.org/2018/
[2] https://www2018.thewebconf.org/
[3] http://wikiworkshop.org/2018/#dates
[4] http://wikiworkshop.org/2018/#speakers
[5] http://wikiworkshop.org/2018/#organization
--
Leila Zia
Senior Research Scientist
Wikimedia Foundation
Hi Everyone,
The next Research Showcase will be live-streamed this Wednesday, April 18,
2018 at 11:30 AM (PDT) 18:30 UTC.
YouTube stream: https://www.youtube.com/watch?v=Z1pa-pr6xis
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>
The Critical Relationship of Volunteer Created Wikipedia Content to
Large-Scale Online CommunitiesBy *Nate TeBlunthuis*The extensive Wikipedia
literature has largely considered Wikipedia in isolation, outside of the
context of its broader Internet ecosystem. Very recent research has
demonstrated the significance of this limitation, identifying critical
relationships between Google and Wikipedia that are highly relevant to many
areas of Wikipedia-based research and practice. In this talk, I will
present a study which extends this recent research beyond search engines to
examine Wikipedia’s relationships with large-scale online communities,
Stack Overflow and Reddit in particular. I will discuss evidence of
consequential, albeit unidirectional relationships. Wikipedia provides
substantial value to both communities, with Wikipedia content increasing
visitation, engagement, and revenue, but we find little evidence that these
websites contribute to Wikipedia in return. Overall, these findings
highlight important connections between Wikipedia and its broader ecosystem
that should be considered by researchers studying Wikipedia. Overall, this
talk will emphasize the key role that volunteer-created Wikipedia content
plays in improving other websites, even contributing to revenue generation.
The Rise and Decline of an Open Collaboration System, a Closer LookBy *Nate
TeBlunthuis*Do patterns of growth and stabilization found in large peer
production systems such as Wikipedia occur in other communities? This study
assesses the generalizability of Halfaker etal.’s influential 2013 paper on
“The Rise and Decline of an Open Collaboration System.” We replicate its
tests of several theories related to newcomer retention and norm
entrenchment using a dataset of hundreds of active peer production wikis
from Wikia. We reproduce the subset of the findings from Halfaker and
colleagues that we are able to test, comparing both the estimated signs and
magnitudes of our models. Our results support the external validity of
Halfaker et al.’s claims that quality control systems may limit the growth
of peer production communities by deterring new contributors and that norms
tend to become entrenched over time.
Kindest regards,
Sarah R. Rodlund
Senior Project Coordinator-Product & Technology, Wikimedia Foundation | Hic
sunt leones
srodlund(a)wikimedia.org
>... Accepted papers
> Christoph Hube and Besnik Fetahu
> Detecting Biased Statements in Wikipedia
> http://wikiworkshop.org/2018/papers/wikiworkshop2018_paper_1.pdf
>...
Hi Christoph and Besnik,
Having worked with several thousand of Amazon Mechanical Turkers over
the past year, I am not convinced that their opinions of bias, even in
aggregate, are not biased. Did you take any steps to measure the bias
against accuracy in your crowdworkers?
Here is an example of what I expect they would get wrong:
"Tax cuts allow consumers to increase their spending, which boosts
aggregate demand."
That statement, added by en:User:Bkwillwm in 2012,[1] is still part of
the English Wikipedia's Economics article. However, the statement is
strictly inaccurate, and heavily biased in favor of trickle-down
economics and austerity policy.[2] It and statements like it,
pervasive through many if not most of the popular language Wikipedias,
directly support increases in income inequality, which in turn is a
terrible scourge affecting both health[3] and economic growth.[4]
How can you measure whether your crowdworkers are truly unbiased
relative to accuracy, instead of just reflecting the
propaganda-influenced whims of the populist center?
Sincerely,
James Salsman
[1] https://en.wikipedia.org/w/index.php?title=Economics&diff=prev&oldid=511580…
[2] https://en.wikipedia.org/wiki/Talk:Economics/Archive_7#Tax_cut_claim_in_Fis…
[3] http://talknicer.com/ehip.pdf
[4] http://talknicer.com/egma.pdf