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 :)
Curious, what percentage of digital assistants (Alexa, Siri, Cortana,
Google) cite Wikipedia when a person asks a question?
Does the current Wikipedia mobile app support voice search?
Are there any reports on this? Thanks in advance!
Sincere regards,
Stella
--
Stella Yu | STELLARESULTS | 415 690 7827
"Chronicling heritage brands and legendary people."
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
Hi all! I am looking for any discussions/data about participation rates in
research surveys directed towards editors. I'd like to see if there's a
consistent rate, or not, in responses per target group. Can anybody help me
with this?
Thank you,
Juliana
--
www.domusaurea.org
Hi research-l,
I came across this discussion on enwiki relevant to this list. The proposal
is to add a section to the "What Wikipedia is NOT" page which would put in
place guidelines and requirements for people researching Wikipedia.
https://en.wikipedia.org/wiki/Wikipedia_talk:What_Wikipedia_is_not#RFC:Wiki…
[apologies for cross posting]
11th DBpedia Community Meeting
On October 12th we will organize the 3rd US DBpedia Community Meeting
(and SF Bay Area Knowledge Graphs meetup). The meetup focuses on
connecting the community interested in DBpedia and Knowledge Graphs in
general, has included lightning talks by distinguished speakers (e.g.
from Stanford, Google, IBM Watson, Netflix, LinkedIn, Wikimedia
Foundation, Nuance, etc.). Talk topics have extended also to natural
language processing, knowledge representation, information extraction,
integration and retrieval, graph databases, knowledge base embeddings
and machine learning.
* Quick Facts *
- Web URL:http://wiki.dbpedia.org/meetings/California2017
- What: DBpedia Community Meeting and Bay Area Knowledge Graphs Meetup
- Hashtag: #DBpediaCA
- When: October 12th, 6:30pm - 10:00pm
- Where: Apple Inc., De Anza 3 Theater and Atrium (1st floor)
10500 N De Anza Blvd
Cupertino, CA 95014-2033
United States
* Tickets *
- Registration: through eventbrite(limited seats)
https://www.eventbrite.com/e/11th-dbpedia-community-meeting-in-california-2…
* Program *
Please check the schedule for the 11th DBpedia Community Meeting here:
http://wiki.dbpedia.org/meetings/California2017
This year we’re hosted by Apple Inc. We are looking forward to meeting
you in California!
DBpedia Organizing Committee
Hi All:
I write to announce that Wiki Studies 1:1 is now published:
http://wikistudies.org
As readers of this list may recall, Wiki Studies is an open-access, peer-reviewed journal focusing on the intersection of Wikipedia and higher education. Our first issue features four articles: three are case studies and one is a corpus analysis.
Comments, suggestions, and inquires are welcome at cummings(a)olemiss.edu. Please consider registering<http://wikistudies.org/index.php/wikistudies/user/register> at our OJS site for automatic updates.
Yours,
Robert Cummings
Editor
Hello everyone,
My name is Marc Miquel and I am a researcher from Barcelona (Universitat
Pompeu Fabra).
While I was doing my PhD I studied whether an identity-based motivation
could be important for editor participation and I analyzed content
representing the editors' cultural context in 40 Wikipedia language
editions.
Few months later, I propose creating the *Wikipedia Cultural Diversity
Observatory* in order to raise awareness on Wikipedia’s current state of
cultural diversity, providing datasets, visualizations and statistics, and
pointing out solutions to improve intercultural coverage.
I am presenting this project to a grant and I expect that the site becomes
a useful tool to help communities create more multicultural encyclopaedias
and bridge the content culture gap that exists across language editions.
Here is the link of the project proposal:
https://meta.wikimedia.org/wiki/Grants:Project/Wikipedia_Cultural_Diversity…
If you like the project, I'd ask you to endorse it. In any case, I will
appreciate any feedback, comments,... Of course, you are invited to become
participants, as there will be the need for users in the testing part.
Thanks in advance for your time!
Best regards,
Marc Miquel
Universitat Pompeu Fabra, Barcelona
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