Hi everyone,
Summary: Wiki Workshop 2022 [0] will take place virtually as part of
The Web Conference 2022 [1]. Call for papers is now open:
https://wikiworkshop.org/2022/#call . Deadline to submit for paper to
appear in the proceedings of the conference is Feb 3, for all other
submissions March 10. The workshop will take place on April 25, 2022.
--
We are delighted to announce that Wiki Workshop 2022 [0] will be held
virtually April 25, 2022 and as part of the Web Conference 2022 [1].
In the past years, Wiki Workshop has traveled to Oxford, Montreal,
Cologne, Perth, Lyon, and San Francisco, and (virtually) to Taipei and
Ljubljana.
Last year, we had more than 150 participants in the workshop along
with 22 accepted paper presentations, keynote, panel, music and more.
The workshop is now a vibrant event for Wikimedia researchers and
those interested in this space to get together on an annual basis.
We encourage contributions by all researchers who study the Wikimedia
projects. We specifically encourage 1-2 page submissions of
preliminary research. You will have the option to publish your work as
part of the proceedings of The Web Conference 2022.
You can read more about the call for papers and the workshop at
http://wikiworkshop.org/2022/#call. Please note that the deadline for
the submissions to be considered for proceedings is February 3. All
other submissions should be received by March 10.
If you have questions about the workshop, please let us know on this
list or at wikiworkshop(a)googlegroups.com.
Looking forward to seeing many of you in this year's edition.
Best,
Srijan Kumar, Georgia Tech
Emily Lesack, Wikimedia Foundation
Miriam Redi, Wikimedia Foundation
Bob West, EPFL
Leila Zia, Wikimedia Foundation
[0] https://wikiworkshop.org/2022/
[1] https://www2022.thewebconf.org/
Hi all,
Join the Research Team at the Wikimedia Foundation [1] for their monthly
Office hours this Tuesday, 2022-03-01, at 12:00-13:00 UTC (4:00 PT / 7:00
ET / 13:00 CET). Find your local time here
<https://zonestamp.toolforge.org/1646136000>.
To participate, join the video-call via this link [2]. There is no set
agenda - feel free to add your item to the list of topics in the etherpad
[3]. You are welcome to add questions / items to the etherpad in advance,
or when you arrive at the session. Even if you are unable to attend the
session, you can leave a question that we can address asynchronously. If
you do not have a specific agenda item, you are welcome to hang out and
enjoy the conversation. More detailed information (e.g. about how to
attend) can be found here [4].
Through these office hours, we aim to make ourselves more available to
answer research related questions that you as Wikimedia volunteer editors,
organizers, affiliates, staff, and researchers face in your projects and
initiatives. Here are some example cases we hope to be able to support you
with:
-
You have a specific research related question that you suspect you
should be able to answer with the publicly available data and you don’t
know how to find an answer for it, or you just need some more help with it.
For example, how can I compute the ratio of anonymous to registered editors
in my wiki?
-
You run into repetitive or very manual work as part of your Wikimedia
contributions and you wish to find out if there are ways to use machines to
improve your workflows. These types of conversations can sometimes be
harder to find an answer for during an office hour. However, discussing
them can help us understand your challenges better and we may find ways to
work with each other to support you in addressing it in the future.
-
You want to learn what the Research team at the Wikimedia Foundation
does and how we can potentially support you. Specifically for affiliates:
if you are interested in building relationships with the academic
institutions in your country, we would love to talk with you and learn
more. We have a series of programs that aim to expand the network of
Wikimedia researchers globally and we would love to collaborate with those
of you interested more closely in this space.
-
You want to talk with us about one of our existing programs [5].
Hope to see many of you,
Emily on behalf of the WMF Research Team
[1] https://research.wikimedia.org
[2] https://meet.jit.si/WMF-Research-Office-Hours
[3] https://etherpad.wikimedia.org/p/Research-Analytics-Office-hours
[4] https://www.mediawiki.org/wiki/Wikimedia_Research/Office_hours
[5] https://research.wikimedia.org/projects.html
--
Emily Lescak (she / her)
Senior Research Community Officer
The Wikimedia Foundation
Hi all,
The next Research Showcase will be live-streamed next Wednesday, February
16, at 9:30 PT/17:30 UTC. The theme is: Collective Attention in Wikipedia.
YouTube stream: https://www.youtube.com/watch?v=bg2aE2m08Qo
As usual, you can join the conversation on IRC at #wikimedia-research. You
can also watch our past research showcases here:
https://www.mediawiki.org/wiki/Wikimedia_Research/Showcase
The Showcase will feature the following talks:
Modeling Collective Anticipation and Response on WikipediaBy *Renaud
Lambiotte <https://www.maths.ox.ac.uk/people/renaud.lambiotte> (University
of Oxford)*The dynamics of popularity in online media are driven by a
combination of endogenous spreading mechanisms and response to exogenous
shocks including news and events. However, little is known about the
dependence of temporal patterns of popularity on event-related information,
e.g. which types of events trigger long-lasting activity. Here we propose a
simple model that describes the dynamics around peaks of popularity by
incorporating key features, i.e., the anticipatory growth and the decay of
collective attention together with circadian rhythms. The proposed model
allows us to develop a new method for predicting the future page view
activity and for clustering time series. To validate our methodology, we
collect a corpus of page view data from Wikipedia associated to a range of
planned events, that are events which we know in advance will have a fixed
date in the future, such as elections and sport events. Our methodology is
superior to existing models in both prediction and clustering tasks.
Furthermore, restricting to Wikipedia pages associated to association
football, we observe that the specific realization of the event, in our
case which team wins a match or the type of the match, has a significant
effect on the response dynamics after the event. Our work demonstrates the
importance of appropriately modeling all phases of collective attention, as
well as the connection between temporal patterns of attention and
characteristic underlying information of the events they represent.
Sudden Attention Shifts on Wikipedia During the COVID-19 CrisisBy *Kristina
Gligorić <https://kristinagligoric.github.io/> (EPFL)*We study how the
COVID-19 pandemic, alongside the severe mobility restrictions that ensued,
has impacted information access on Wikipedia, the world’s largest online
encyclopedia. A longitudinal analysis that combines pageview statistics for
12 Wikipedia language editions with mobility reports published by Apple and
Google reveals massive shifts in the volume and nature of information
seeking patterns during the pandemic. Interestingly, while we observe a
transient increase in Wikipedia’s pageview volume following mobility
restrictions, the nature of information sought was impacted more
permanently. These changes are most pronounced for language editions
associated with countries where the most severe mobility restrictions were
implemented. We also find that articles belonging to different topics
behaved differently; e.g., attention towards entertainment-related topics
is lingering and even increasing, while the interest in health- and
biology-related topics was either small or transient. Our results highlight
the utility of Wikipedia for studying how the pandemic is affecting
people’s needs, interests, and concerns.
--
Emily Lescak (she / her)
Senior Research Community Officer
The Wikimedia Foundation
Hi everyone!
The wiki comparison tool [1] is a quick reference for the teeming ecosystem
of Wikimedia wikis maintained by the Product Analytics team [2] at the
Wikimedia Foundation. The tool has just been updated with more recent data
(covering Jan–Dec 2021), as well as bugfixes, documentation improvements,
and a new monthly pageviews field.
If you have questions, be sure to consult the documentation in the
"introduction", "change log", and "metric definitions" tabs. If you don't
find an answer or have feedback, please get in touch! You can reach us at
product-analytics(a)wikimedia.org.
[1]
https://docs.google.com/spreadsheets/d/1a-UBqsYtJl6gpauJyanx0nyxuPqRvhzJRN8…
[2] https://www.mediawiki.org/wiki/Product_Analytics
--
Neil Shah-Quinn
senior data scientist, Product Analytics
<https://www.mediawiki.org/wiki/Product_Analytics>
Wikimedia Foundation <https://wikimediafoundation.org/>