Pursuant to prior discussions about the need for a research
policy on Wikipedia, WikiProject Research is drafting a
policy regarding the recruitment of Wikipedia users to
participate in studies.
At this time, we have a proposed policy, and an accompanying
group that would facilitate recruitment of subjects in much
the same way that the Bot Approvals Group approves bots.
The policy proposal can be found at:
http://en.wikipedia.org/wiki/Wikipedia:Research
The Subject Recruitment Approvals Group mentioned in the proposal
is being described at:
http://en.wikipedia.org/wiki/Wikipedia:Subject_Recruitment_Approvals_Group
Before we move forward with seeking approval from the Wikipedia
community, we would like additional input about the proposal,
and would welcome additional help improving it.
Also, please consider participating in WikiProject Research at:
http://en.wikipedia.org/wiki/Wikipedia:WikiProject_Research
--
Bryan Song
GroupLens Research
University of Minnesota
Hi all,
For all Hive users using stat1002/1004, you might have seen a deprecation
warning when you launch the hive client - that claims it's being replaced
with Beeline. The Beeline shell has always been available to use, but it
required supplying a database connection string every time, which was
pretty annoying. We now have a wrapper
<https://github.com/wikimedia/operations-puppet/blob/production/modules/role…>
script
setup to make this easier. The old Hive CLI will continue to exist, but we
encourage moving over to Beeline. You can use it by logging into the
stat1002/1004 boxes as usual, and launching `beeline`.
There is some documentation on this here:
https://wikitech.wikimedia.org/wiki/Analytics/Cluster/Beeline.
If you run into any issues using this interface, please ping us on the
Analytics list or #wikimedia-analytics or file a bug on Phabricator
<http://phabricator.wikimedia.org/tag/analytics>.
(If you are wondering stat1004 whaaat - there should be an announcement
coming up about it soon!)
Best,
--Madhu :)
We’re glad to announce the release of an aggregate clickstream dataset extracted from English Wikipedia
http://dx.doi.org/10.6084/m9.figshare.1305770 <http://dx.doi.org/10.6084/m9.figshare.1305770>
This dataset contains counts of (referer, article) pairs aggregated from the HTTP request logs of English Wikipedia. This snapshot captures 22 million (referer, article) pairs from a total of 4 billion requests collected during the month of January 2015.
This data can be used for various purposes:
• determining the most frequent links people click on for a given article
• determining the most common links people followed to an article
• determining how much of the total traffic to an article clicked on a link in that article
• generating a Markov chain over English Wikipedia
We created a page on Meta for feedback and discussion about this release: https://meta.wikimedia.org/wiki/Research_talk:Wikipedia_clickstream <https://meta.wikimedia.org/wiki/Research_talk:Wikipedia_clickstream>
Ellery and Dario
I am pleased to announce the launch of the third Inspire Campaign for
IdeaLab, focused on addressing harassment of Wikimedia project contributors:
<https://meta.wikimedia.org/wiki/Grants:IdeaLab/Inspire>
Harassment diminishes the experience of contributing and participation for
a substantial number of individuals, even those who simply witness it.
Current methods of dealing with harassment are considered unacceptable as
they often do not lead to productive outcomes.[1]
During the month-long campaign, you are invited to submit & review ideas on
how to better address harassment. Consider joining a team to help make an
idea happen. Ideas can be submitted in any language, and focus on
research, building tools or software, outreach efforts, or something
completely new. Grants are available from the Wikimedia Foundation to fund
projects that are eligible for financial support.[2] Ideas focused on
changes to community policies and guidelines are also welcome. Google
Hangout sessions are also scheduled in June if you’d like to discuss your
idea or have questions about WMF grants.[3]
Questions about the campaign can be directed at the Inspire talk page.[4]
An FAQ page about the campaign is also available.[5]
If you want to help make your projects safer for everyone to participate
in, I encourage you to participate in this Inspire Campaign. I believe we
can work together to address this difficult and important issue.
With thanks,
Chris "Jethro" Schilling
I JethroBT (WMF) <https://meta.wikimedia.org/wiki/User:I_JethroBT_(WMF)>
Community Organizer, Wikimedia Foundation
<https://wikimediafoundation.org/wiki/Home>
[1] <
https://commons.wikimedia.org/wiki/File:Harassment_Survey_2015_-_Results_Re…
>
[2] <https://meta.wikimedia.org/wiki/Grants:Start>
[3] <https://meta.wikimedia.org/wiki/Grants:IdeaLab/Events>
[4] <https://meta.wikimedia.org/wiki/Grants_talk:IdeaLab/Inspire>
[5] <https://meta.wikimedia.org/wiki/Grants:IdeaLab/Inspire/FAQ>
Call for Posters & Demos
SEMANTiCS 2016 - The Linked Data Conference
Transfer // Engineering // Community
12th International Conference on Semantic Systems
Leipzig, Germany
September 12 -15, 2016
http://2016.semantics.cc
Important Dates (Posters & Demos)
* Submission Deadline: June 17, 2016 (11:59 pm,
Hawaii time)
* Notification of Acceptance: July 15, 2016 (11:59 pm,
Hawaii time)
* Camera-Ready Paper: August 1, 2016 (11:59 pm,
Hawaii time)
Submissions via Easychair:
https://easychair.org/conferences/?conf=semantics2016research
The annual SEMANTiCS conference is the meeting place for professionals
who make semantic computing work, who understand its benefits and
encounter its limitations. Every year, SEMANTiCS attracts information
managers, IT-architects, software engineers and researchers from
organisations ranging from NPOs, through public administrations to the
largest companies in the world. Attendees learn from industry experts
and top researchers about emerging trends and topics in the fields of
semantic software, enterprise data, linked data & open data strategies,
methodologies in knowledge modelling and text & data analytics. The
SEMANTiCS community is highly diverse; attendees have responsibilities
in interlinking areas like knowledge management, technical
documentation, e-commerce, big data analytics, enterprise search,
document management, business intelligence and enterprise vocabulary
management.
The success of last year’s conference in Vienna with more than 280
attendees from 22 countries proves that SEMANTiCS 2016 will continue a
long tradition of bringing together colleagues from around the world.
There will be presentations on industry implementations, use case
prototypes, best practices, panels, papers and posters to discuss
semantic systems in birds-of-a-feather sessions as well as informal
settings. SEMANTICS addresses problems common among information
managers, software engineers, IT-architects and various specialist
departments working to develop, implement and/or evaluate semantic
software systems.
The SEMANTiCS program is a rich mix of technical talks, panel
discussions of important topics and presentations by people who make
things work - just like you. In addition, attendees can network with
experts in a variety of fields. These relationships provide great value
to organisations as they encounter subtle technical issues in any stage
of implementation. The expertise gained by SEMANTiCS attendees has a
long-term impact on their careers and organisations. These factors make
SEMANTiCS for our community the major industry related event across Europe.
SEMANTiCS 2016 will especially welcome submissions for the following hot
topics:
* Data Quality Management
* Data Science (Data Mining, Machine Learning, Network Analytics)
* Semantics on the Web, Linked (Open) Data & schema.org
* Corporate Knowledge Graphs
* Knowledge Integration and Language Technologies
* Economics of Data, Data Services and Data Ecosystems
Following the success of previous years, the ‘horizontals’ (research)
and ‘verticals’ (industries) below are of interest for the conference:
Horizontals:
* Enterprise Linked Data & Data Integration
* Knowledge Discovery & Intelligent Search
* Business Models, Governance & Data Strategies
* Big Data & Text Analytics
* Data Portals & Knowledge Visualization
* Semantic Information Management
* Document Management & Content Management
* Terminology, Thesaurus & Ontology Management
* Smart Connectivity, Networking & Interlinking
* Smart Data & Semantics in IoT
* Semantics for IT Safety & Security
* Semantic Rules, Policies & Licensing
* Community, Social & Societal Aspects
Verticals:
* Industry & Engineering
* Life Sciences & Health Care
* Public Administration
* Galleries, Libraries, Archives & Museums (GLAM)
* Education & eLearning
* Media & Data Journalism
* Publishing, Marketing & Advertising
* Tourism & Recreation
* Financial & Insurance Industry
* Telecommunication & Mobile Services
* Sustainable Development: Climate, Water, Air, Ecology
* Energy, Smart Homes & Smart Grids
* Food, Agriculture & Farming
* Safety & Security
* Transport, Environment & Geospatial
Posters & Demos Track
The Posters & Demonstrations Track invites innovative work in progress,
late-breaking research and innovation results, and smaller contributions
in all fields related to the broadly understood Semantic Web. These
include submissions on innovative applications with impact on end users
such as demos of solutions that users may test or that are yet in the
conceptual phase, but are worth discussing, and also applications or
pieces of code that may attract developers and potential research or
business partners. This also concerns new data sets made publicly available.
The informal setting of the Posters & Demonstrations Track encourages
participants to present innovations to the research community, business
users and find new partners or clients and engage in discussions about
the presented work. Such discussions can be invaluable inputs for the
future work of the presenters, while offering conference participants an
effective way to broaden their knowledge of the emerging research trends
and to network with other researchers.
Poster and demo submissions should consist of a paper of 1-4 pages that
describe the work, its contribution to the field or novelty aspects.
Submissions must be original and must not have been submitted for
publication elsewhere. All submissions should follow the ACM ICPS
guidelines for formatting. The layout templates can be found here:
http://www.acm.org/sigs/publications/proceedings-templates. The best
posters (5-6 papers) will be published in the digital library of the ACM
ICP Series. The other papers will be published in the
http://ceur-ws.org/. Papers should be submitted through EasyChair
(https://easychair.org/conferences/?conf=semantics2016research). Papers
must be submitted in PDF (Adobe's Portable Document Format) format.
Other formats will not be accepted. For the camera-ready version, the
source files (Latex, Word) will also be needed.
Submissions will be reviewed by experienced and knowledgeable
researchers and practitioners; each submission will receive a detailed
feedback. For demos, it would be beneficial to include also links
enabling the reviewers testing the application or reviewing the component.
Important Dates (Posters & Demos)
* Submission Deadline: June 17, 2016 (11:59 pm, Hawaii time)
* Notification of Acceptance: July 15, 2016 (11:59 pm, Hawaii time)
* Camera-Ready Paper: August 1, 2016 (11:59 pm, Hawaii
time)
Poster and Demo Chairs:
* Michael Martin, University of Leipzig
* Martí Cuquet, Semantic Technology Institute, University of Innsbruck
* Erwin Folmer, University of Twente, Kadaster and Geonovum
Contact email address: semantics2016postersdemos(a)gmail.com
Conference Chairs:
* Sebastian Hellmann, AKSW/KILT, InfAI, Leipzig University
* Tassilo Pellegrini, UAS St. Pölten
Sounds interesting. Forwarding.
Pine
---------- Forwarded message ----------
From: "Rachel Farrand" <rfarrand(a)wikimedia.org>
Date: May 28, 2016 21:37
Subject: [Wikitech-l] Tech Talk: Integrating user behavior to design better
products: May 31
To: "Wikimedia developers" <wikitech-l(a)lists.wikimedia.org>
Cc:
Please join for the following tech talk:
*Tech Talk**:* Integrating user behavior to design better products
*Presenter:* Pau Giner
*Date:* May 31, 2016
*Time: *19:00 UTC
<
http://www.timeanddate.com/worldclock/fixedtime.html?msg=Tech+Talk%3A+Integ…
>
*Length:* 30 minutes
Link to live YouTube stream <http://www.youtube.com/watch?v=mLeTABdcdR4>
*IRC channel for questions/discussion:* #wikimedia-office
*Summary: *The design process helps us to find solutions that respond to
the user needs. However, this process needs to rely on actual user behavior
to make sure we are addressing the right problems with the best possible
solutions.
Wikimedia projects are developed in the open and they reach millions of
users in very different contexts. This makes it challenging to integrate
the different observed behaviors, measured actions, opinions and other
forms of feedback.
After applying the design process on different Wikimedia projects, I want
to share some good practices and lessons learnt when integrating user
behavior to inform product decisions, and how you (in whichever role you
are playing) can help designers to better support this process.
*Feel free to forward this email to any other relevant wikimedia lists.*
_______________________________________________
Wikitech-l mailing list
Wikitech-l(a)lists.wikimedia.org
https://lists.wikimedia.org/mailman/listinfo/wikitech-l
Sharing "Why getting medical information from Wikipedia isn’t always a bad
idea", a piece which was "co-authored with Dr Mikael Häggström, a medical
doctor in Sweden who is also the editor-in-chief of the Wikiversity Journal
of Medicine".
This piece discusses the quality of Wikipedia medical articles, and
readership of those articles.
https://theconversation.com/why-getting-medical-information-from-wikipedia-…
Pine
Hi everyone,
We’ve had two Inspire Campaigns so far -- on the gender gap and on content
curation & review -- to encourage ideas and grant proposals on challenging
issues affecting the Wikimedia projects you work on. The third Inspire
Campaign, starting on May 31st, will run for one month and focus on
addressing harassment that occurs on Wikimedia projects:
<https://meta.wikimedia.org/wiki/Grants:IdeaLab/Inspire>
The 2015 Harassment Survey[1] has shown evidence that harassment is
pervasive; 38% of participants reported experiencing it, and 51% reported
witnessing harassment. These include behaviors such as name calling,
threats of violence, discrimination, stalking, and impersonation, among
others. Furthermore, available methods and systems to deal with harassment
are considered to be ineffective. These behaviors are clearly harmful, and
in addition, many individuals who experience or witness harassment
participate less in Wikimedia projects or stop contributing entirely.
Starting May 31st, everyone is invited to submit and work together in
developing ideas to prevent and handle cases of harassment. Ideas can
include research, software, events, training programs, outreach efforts,
etc. If you need funding, ideas can easily be submitted as a proposal for
a WMF grant. Ideas can also encourage discussions to consider changes in
policies, guidelines, or best practices on your local Wikimedia project(s).
An FAQ page about this campaign and Inspire Campaigns generally is
available.[2] An announcement e-mail will be sent out on the 31st. For
folks who are interested in helping translate so we can reach a wide
audience, I welcome your help on the FAQ page[2] and main landing page.[3]
If you have an idea or want to help develop ideas to address harassment, I
encourage you to join me so that we can work together in addressing this
important and difficult issue.
With thanks,
Chris "Jethro" Schilling
I JethroBT (WMF) <https://meta.wikimedia.org/wiki/User:I_JethroBT_(WMF)>
Community Organizer, Wikimedia Foundation
<https://wikimediafoundation.org/wiki/Home>
--
[1] <
https://commons.wikimedia.org/wiki/File:Harassment_Survey_2015_-_Results_Re…
>
[2] <https://meta.wikimedia.org/wiki/Grants:IdeaLab/Inspire/FAQ>
[3] <https://meta.wikimedia.org/wiki/Grants:IdeaLab/Inspire>
Just a quick thought that I shared in IRC earlier.
AI isn't magical. It's pretty cool, but you're not going to have a
> conversation with ORES
> <https://meta.wikimedia.org/wiki/Objective_Revision_Evaluation_Service>.
>
It's not false that we are closer to strong "conversational" AI than ever
before. Still, in practical terms, we're pretty far away from not needing
to program anymore. I find that articles like this are more fantastical
than informative. I guess it is interesting to think about where we'll be
when we can have an abstract conversation with a computer system rather
than the rigid specifics of programming, but I'm with Brian -- this seems
to be a cycle. Though, I'd say the media does boom and bust, but the
research carries on relatively consistently since AI researchers are
usually less interested in the hype.
In the ORES project, we're using the most simplistic "AIs" available --
classifiers. Still these dumb AIs can still help us to do amazing things
(e.g. review all of RecentChanges in 50x faster or augment article
histories with information about the *type of change* made). IMO, it's
these amazing and powerful things that dumb, non-conversational AIs can do
that is very powerful and a little scary
<http://www.nytimes.com/2016/05/19/opinion/the-real-bias-built-in-at-faceboo…>.
We're hardly taking advantage of that at all. I think that's where the
next big revolution with AI is taking place right now. It's going to
change a lot of things and infect many aspects of our life (and in many
ways it already has).
-Aaron
On Fri, May 20, 2016 at 2:43 PM, Purodha Blissenbach <
purodha(a)blissenbach.org> wrote:
> I see only an ad to support Wired.
> Purodha
>
>
> On 20.05.2016 20:11, Pine W wrote:
>
>> Seems like a good summary: http://www.wired.com/2016/05/the-end-of-code/
>>
>> Comments welcome, especially from Wikimedia AI experts who are working on
>> ORES.
>>
>> Pine
>> _______________________________________________
>> Wikitech-l mailing list
>> Wikitech-l(a)lists.wikimedia.org
>> https://lists.wikimedia.org/mailman/listinfo/wikitech-l
>>
>
> _______________________________________________
> Wikitech-l mailing list
> Wikitech-l(a)lists.wikimedia.org
> https://lists.wikimedia.org/mailman/listinfo/wikitech-l
>
Another article on the Stanford Encyclopedia of Philosophy. [1] I wonder,
could any of the practices described here be implemented on Wikipedia in a
way that would be helpful? WMF tried to engage SMEs through the now
mothballed AFT, and I believe that there is an ongoing effort to get SME
comments with the assistance of a bot facilitating communications from SMEs
to article talk pages (Aaron, do you remember the name of that project, and
if so could we get an update about it?)
Thanks,
Pine
[1]
http://qz.com/480741/this-free-online-encyclopedia-has-achieved-what-wikipe…