Hi Research-l folks,
Is there a chart that shows the proportions of new users that register on
Wikimedia in association with individual campaigns like Wiki Loves
Monuments, chapter GLAM activities, education programs, etc?
I am particularly interested in knowing what percentage of new users are
likely to be unaffiliated with identifiable programs, and likely need to
learn how Wikimedia works using exclusively online resources and initially
without individualized help.
If this information is available for a variety of snapshots in time, and
for a variety of individual Wikimedia sites, that would be appreciated. If
this information is available with productivity and attrition information
for each group on each site, that would be even better.
Thanks,
Pine
( https://meta.wikimedia.org/wiki/User:Pine )
Dear Ms.,
I thank you for your answer. I propose you to ask Wikipedia Content gap researchers about that. I recommend Mr. Marc Miquel who studied cultural content gap across different Wikipedias. I saw his research in WikiIndaba 2018. His research is excellent and absolutely well developed and I was proud as a Programme Committee member to meet him in that conference.
Yours Sincerely,
Houcemeddine Turki
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Today's Topics:
1. research on topic coverage? (Bruckman, Amy S)
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Date: Fri, 23 Mar 2018 17:27:34 +0000
From: "Bruckman, Amy S" <asb(a)cc.gatech.edu>
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Subject: [Wiki-research-l] research on topic coverage?
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Hi everyone!
I was just re-reading Halavais & Lackaff’s 2008 paper on topic coverage in the English Wikipedia.
Has anyone redone or extended that analysis more recently?
Also, has anyone mapped comparative topic coverage for different languages?
Thanks for your help!
— Amy
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Hi everyone!
I was just re-reading Halavais & Lackaff’s 2008 paper on topic coverage in the English Wikipedia.
Has anyone redone or extended that analysis more recently?
Also, has anyone mapped comparative topic coverage for different languages?
Thanks for your help!
— Amy
Hi Everyone,
The next Research Showcase will be live-streamed this Wednesday, March 21,
2018 at 11:30 AM (PDT) 18:30 UTC.
YouTube stream: https://www.youtube.com/watch?v=ACevHs0sMMw
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#March_2018>.
Over the past years, the Research team at Wikimedia Foundation and some of
our formal collaborators have been focused on doing research and building
technologies that can help editors across Wikimedia languages find tasks
for contributions. While the early effort was heavily focused on article
recommendation for creation (horizontal expansion), in 2016 we started a
new direction of research with a focus on vertical expansion of Wikipedia
articles. The two talks in the March 2018 Research Showcase will share some
of what we have learned from this research. More specifically, we will talk
about Wikipedia category network as a great signal for creating
templates/structures for Wikipedia articles as well as ongoing research to
learn what content (sections) are missing from Wikipedia across its many
languages. The two corresponding abstracts with more details are below.
Join us! :)
Using Wikipedia categories for research: opportunities, challenges, and
solutionsBy *Tiziano Piccardi, EPFL*The category network in Wikipedia is
used by editors as a way to label articles and organize them in a
hierarchical structure. This manually created and curated network of 1.6
million nodes in English Wikipedia generated by arranging the categories in
a child-parent relation (i.e., Scientists-People, Cities-Human Settlement)
allows researchers to infer valuable relations between concepts. A clean
structure in this format would be a valuable resource for a variety of
tools and application including automatic reasoning tools. Unfortunately,
Wikipedia category network contains some "noise" since in many cases the
association as subcategory does not define an is-a relation (Scientists
is-a People vs. Billionaires is-a Wealth). Inspired to develop a model for
recommending sections to be added to the already existing Wikipedia
articles, we developed a method to clean this network and to keep only the
categories that have a high chance to be associated with their children by
an is-a relation. The strategy is based on the concept of "pure"
categories, and the algorithm uses the types of the attached articles to
determine how homogenous the category is. The approach does not rely on any
linguistic feature and therefore is suitable for all Wikipedia languages.
In this talk, we will discuss the high-level overview of the algorithm and
some of the possible applications for the generated network beyond article
section recommendations.
Beyond Automatic Translation: Aligning Wikipedia sections across multiple
languagesBy *Diego Saez-Trumper*Sections are the building blocks of
Wikipedia articles. For editors, they can be used as an entry point for
creating and expanding articles. For readers, they enhance readability of
Wikipedia content. In this talk, we present an ongoing research to align
article sections across Wikipedia languages. We show how the available
technology for automatic translations are not good enough for translating
section titles. We then show a complementary approach for section
alignment, using Wikidata and cross-lingual word embeddings. We will
present some of the use-cases of a methodology for aligning sections across
languages, including improved section recommendation, especially in medium
to smaller size languages where the language itself may not contain enough
signal about the structure of the articles and signals can be inferred from
other larger Wikipedia languages.
Sarah R. Rodlund
Senior Project Coordinator-Product & Technology, Wikimedia Foundation
srodlund(a)wikimedia.org
Do we have any data on frequency of reverts of users (or more particularly
new users) based on characteristics of the article being developed? There is
a proposal about "in-context help and onboarding" of new users:
https://www.mediawiki.org/wiki/In-context_help_and_onboarding
where I am suggesting that we don't allow new users to edit articles of
higher importance, higher quality, higher readership, or higher
page-watcher-ship, or about living people because I strongly suspect that
this is where new users are at much higher risk of reverting. I take this
approach during training, I suggest the topics they edit and choose what I
regard as "low risk" ones (and provide some sources). This produces almost
no reverts of their first edits which I think is very important in gaining
confidence with basic editing skills.
So I was curious about whether anyone has crunched such data or has data
that could be easily crunched to confirm or deny my hypotheses.
Kerry
Call for Papers
formal papers - informal papers - doctoral programme
11th Conference on Intelligent Computer Mathematics
- CICM 2018 -
August 13-17, 2018
RISC, Hagenberg, Austria
http://www.cicm-conference.org/2018
--------------------------------------------------------------------------------
Digital and computational solutions are becoming the prevalent means
for the generation, communication, processing, storage and curation of
mathematical information.
CICM brings together the many separate communities that have developed
theoretical and practical solutions for mathematical applications such as
computation, deduction, knowledge management, and user interfaces.
It offers a venue for discussing problems and solutions in each of these
areas and their integration.
CICM 2018 will feature 3 invited speakers
* Akiko Aizawa, National Institute of Informatics, University of Tokyo
* Bruno Buchberger, Research Institute for Symbolic Computation, Johannes Kepler University
* Adri Olde Daalhuis, University of Edinburgh
and 4 affiliated workshops
* Computer Algebra in the age of Types
* Formal Mathematics for Mathematicians
* Formal Verification of Physical Systems
* Mathematical Models and Mathematical Software as Research Data
We invite submissions in all topics relating to intelligent computer
mathematics, in particular but not limited to
* theorem proving and computer algebra
* mathematical knowledge management
* digital mathematical libraries
CICM appreciates the varying nature of the relevant research in this area and
invites submissions of very different forms:
1) Formal submissions will be reviewed rigorously and accepted papers will be
published in a volume of Springer LNAI:
* regular papers (up to 15 pages) present novel research results
* project and survey papers (up to 15 pages + bibliography) summarize
existing results
* system and dataset descriptions (up to 5 pages) present digital artifacts
2) Informal submissions will be reviewed with a positive bias and selected for
presentation based on their relevance for the community.
* informal papers may present work-in-progress, project announcements,
position statements, etc.
* posters and system demos will be presented in special sessions
3) The doctoral programme provides PhD students a forum to present early results
receive constructive feedback and mentoring.
* Important Dates *
Formal submissions
- Abstract deadline: April 15
- Full paper deadline: April 22
- Reviews sent to authors: May 21
- Rebuttals due: May 27
- Notification of acceptance: June 4
- Camera-ready copies due: June 8
- Conference: August 13-17
Informal submissions and doctoral programme
Two separate submission rounds are offered so that some authors can make early
travel plans while others submit spontaneously.
- First round submission deadline: April 22
- Second round submission deadline: July 31
All submissions should be made via easychair at https://easychair.org/conferences/?conf=cicm2018
Hello.
I are writing to announce a proposal we have posted for a machine learning
based image categorisation tool for the Wikimedia Commons.
Our proposal is available here: https://meta.wikimedia.org/
wiki/Grants:Project/AICAT
We have already attracted some useful feedback from the Commons App and
also discussed cooperation with the Commons: Structured Data project,
however, we would be keen to get more feedback on the project.
Please drop us a line if you have ideas or if you would like to help.
In addition, if you would like to see this happen, we would appreciate an
endorsement on the project page - that would help us show there is wider
interest among the Community.
Thanks!
Best wishes,
Linas Vastakas
Dear Mr. or Ms.,
I thank you for your answer. I will answer do a proposal to Wikimania conference 2018 entitled "Wikidata in Medicine: What, why and how" in which I introduce Wikidata as a medical knowledge database, I give an overview of successful experiences of medical applications of Wikidata, I show the useful functions that Medical Wikidata can do when completed, and I give to developers ideas of how Medical Wikidata can be automatically enriched based on eHealthMe, MeSH and Medline. I ask what is the best format for such proposals. I also ask if you are working on similar topics and like to merge your Wikiindaba proposal with this one or if you have some comments and questions about my proposal.
Yours Sincerely,
Houcemeddine Turki
Dear Mr. or Ms.,
I thank you for your efforts. I have the great honour to inform you that WikiIndaba conference 2018, the third conference of African Wikimedia community, will be held from March 16th to March 18th, 2018 in Tunis, Tunisia. During this important conference, I will have a presentation about the situation of WikiResearch in Africa. The slides are shared in https://1drv.ms/p/s!AiC69hcGxSVPmhtT2TE8UJcp2qW7. I ask if they are excellent now and if you can give me useful comments about it. You can find what I will say during the presentation as comments to the slides. I ask if you can reformulate this as well.
Yours Sincerely,
Houcemeddine Turki
Hi,
Apologies for cross-posting.
**** Call for Registration and Scholarship Applications for the Web
Science Summer School 2018 ****
(http://wwsss18.webscience.org/)
*** IMPORTANT DATES ***
Scholarship applications by : 15 April 2018
Official registration open : 19 March 2018
Early bird registration by : 7 May 2018
WWSSS summer school : 30 July - 5 August 2018
The Web Science Summer School 2018 (WWSSS'18) will be held in Hannover,
Germany. It is hosted by L3S Research Center and will take place from
30.07.18 till 04.08.18.
Web Science is the emergent study of the people and technologies,
applications, processes and practices that shape and are shaped by the
World Wide Web. Web Science requires mining and understanding data from
the Web, requiring both technical skills for handling big (Web) data as
well as fundamental understanding of the social, psychological or legal
aspects underpinning online activities.
The WWSSS'18 will address the inter-disciplinary field of Web Science by
focusing on lectures which tackle the aforementioned challenges in
topics such as data science and data mining, big data processing,
information retrieval, Web governance as well as the sociology and
psychology of online interactions.
(http://wwsss18.webscience.org/index.php/schedule/)
The program includes keynote talks from prominent researchers in Web
Science. Alongside lectures from experienced researchers, that will
address major trends in Web Science, the Summer School will provide
hands-on training in data processing, analysis and methods, team work,
and opportunities to present current research. Participants shall work
on specific tasks linked to the datasets provided, and will be mentored
by local instructors. All teams will present the results of their work
on the last day of the school.
(http://wwsss18.webscience.org/index.php/speakers/)
*** SCHOLARSHIPS & REGISTRATION ***
Registration is open to everyone interested with a registration fee of
200 EUR (175 EUR for early bird registration). Full time-students
enrolled for Bachelors, Masters or PhD degree in computer science,
digital humanities and related fields may apply for scholarship grants
funded by the SoBigData project. The organizing committee will evaluate
all applications. Every attendee with a successful application will
receive a fee waiver. In addition, a minimum budget 300 EUR is reserved
for every successful applicant for travel and accommodation refunds.
More details are available on the website.
**** CONTACT DETAILS ****
Follow the updates at http://wwsss18.webscience.org/, and do not miss
the chance to be a part of this enriching experience! Please feel free
to contact the chairs of the summer school or the local organization
team if you have any queries: wwsss18(a)l3s.de.
Best,
Ujwal
--
Dr. Ujwal Gadiraju
L3S Research Center
Leibniz Universität Hannover
30167 Hannover, Germany
DE811245527
Phone: +49. 511. 762-5772
Fax: +49. 511. 762-19712
E-Mail: gadiraju(a)l3s.de
Web: www.l3s.de/~gadiraju/