Launch of The Public Service Media and Public Service Internet Manifesto.
Online event, Thursday 17 June 2021, 16:00 UK time, 17:00 Central
European Time
https://www.eventbrite.co.uk/e/launch-of-the-public-service-media-and-publi…
This event launches “The Public Service Media and Public Service
Internet Manifesto”.
The Internet and the media landscape are broken. The dominant commercial
Internet platforms endanger democracy. The Manifesto stresses the
importance of public service media and the creation of a public service
Internet for the future of society and safeguarding democracy.
In the online event, media experts will talk about why they support and
signed the Manifesto that is the outcome of a discussion and
collaboration process organised as part of the AHRC research network
InnoPSM: Innovation in Public Service Media Policies.
With interventions by Alessandro D'Arma, Roy Cobby Avaria, Leonhard
Dobusch, Christian Fuchs, Minna Horowitz, Luciana Musello, Jack L. Qiu,
Barbara Thomass
The event takes place on Zoom. After registering on Eventbrite, you will
receive the Zoom access data at latest one day in advance of the event.
The audience of the event will have the opportunity to be among the
first to read and sign the Public Service Media and Public Service
Internet Manifesto.
Hello everybody,
Within the context of the Knowledge Integrity program
<https://research.wikimedia.org/knowledge-integrity.html>, the Research
Team (and our formal collaborators
<https://www.mediawiki.org/wiki/Wikimedia_Research/Formal_collaborations>)
has been working on releasing relevant datasets on this area.
Recently we have published the following datasets:
-
Tracking Knowledge Propagation Across Wikipedia Languages: A dataset of
inter-language knowledge propagation in Wikipedia. Covering the entire 309
language editions and 33M articles, the dataset aims to track the full
propagation history of Wikipedia concepts, and allow follow up research on
building predictive models of them. For this purpose, we align all the
Wikipedia articles in a language-agnostic manner according to the concept
they cover, their topic, and the timestamp of each article creation, which
results in 13M propagation instances. (paper
<https://arxiv.org/abs/2103.16613>, dataset
<https://zenodo.org/record/4433137>, code
<https://github.com/rodolfovalentim/wikipedia-content-propagation>, meta
<https://meta.wikimedia.org/wiki/Research:Exploration_on_content_propagation…>
)
-
Wiki-Reliability: A Large Scale Dataset for Content Reliability on
(English) Wikipedia: We selected the 10 most popular reliability-related
templates on English Wikipedia, and propose an effective method to label
almost 1M samples of Wikipedia article revisions as positive or negative
with respect to each template. Each positive/negative example in the
dataset comes with the full article text and 20 features from the
revision's metadata (paper <https://arxiv.org/abs/2105.04117>, dataset
<https://figshare.com/articles/dataset/Wiki-Reliability_A_Large_Scale_Datase…>,
code <https://github.com/kay-wong/Wiki-Reliability/>, meta
<https://meta.wikimedia.org/wiki/Research:Wiki-Reliability:_A_Large_Scale_Da…>
).
We hope that these datasets can be used by the research community to keep
working on understanding and modeling knowledge integrity in Wikipedia.
Currently we are working on expanding both datasets. For knowledge
propagation, we are characterizing the different types of cascades, and
generating new prediction models. For the Wiki-Reliability dataset, we are
currently working on expanding this to more languages.
If you have any questions about these datasets or related projects please
feel free to contact me.
Best,
--
Diego Sáez Trumper
Senior Research Scientist
Wikimedia Foundation.
Hi all,
Join the Research Team at the Wikimedia Foundation [1] for their monthly
Office hours on 2021-06-01 at 16:00-17:00 UTC (9am PT/6pm CEST).
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 can do this after you join the meeting, too.), otherwise you are
welcome to also just hang out. 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 some of the research related questions that you as Wikimedia
volunteer editors, organizers, affiliates, staff, and researchers face in
your projects and initiatives. Some example cases we hope to be able to
support you in:
-
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,
Martin on behalf of the WMF Research Team
[1] https://research.wikimedia.org/team.html
[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
--
Martin Gerlach
Research Scientist
Wikimedia Foundation
Dear all,
please find below the CFP for the upcoming Workshop on
Mathematical User Interaction
All the best
physikerwelt (Moritz Schubotz)
(see MathUI at http://www.cicm-conference.org/2021)
----------------------------------------
13th MathUI Workshop 2021
Mathematical User Interaction
----------------------------------------
at the Conference on Intelligent Computer Mathematics
Timisoara, Romania (online)
between July 26 - 31, 2021
------------------------------
please redistribute
SCOPE
--------
MathUI is an international workshop for discussing HOW USERS CAN BE
BEST SUPPORTED
WHEN INTERACTING WITH MATHEMATICAL CONTENT, i.e.,
doing/learning/searching for/viewing/...
mathematics using a digital device.
Use cases range from professional mathematicians trying to proof a new
theorem up to
non-math oriented people trying to understand the math formula used
for calculating
interest rates.
* What do we know about interactions between users and math?
* Which mathematical services can be offered and can they be
meaningfully combined?
* How is mathematics for which purpose best represented?
* What specifically math-oriented support or platforms are needed?
* How can we exploit best practices wrt. mathematics for better
math-user interactions?
--------
We invite all topics, that care for the use of mathematics
on computers and how the user experience can be improved, to be
discussed in the workshop.
TOPICS include:
- user-requirements for math interfaces
- presentation formats
- mobile-devices powered mathematics
- cultural differences in practices of mathematical languages
- didactically sensible scenarios of use
- spreadsheets as mathematical interfaces
- graphs as mathematical interfaces
- manipulations of mathematical expressions
This workshop follows a successful series of workshops held at
the Conferences on Intelligent Computer Mathematics;
it features presentations of brand new ideas in papers selected by
a thorough review process, wide space for discussions, as well as a
software demonstration session.
SUBMISSIONS
-----------
DEADLINE: Continuous submission until July 14th 2021
CONTRIBUTION: 4 - 12 pages
FORMAT: PDF file, Optionally illustrated by supplementary media
such as video recordings or access to demos
METHOD OF SUBMISSION: Submission at easyChair
(https://easychair.org/conferences/?conf=cicm2021): select
the author role, select the "new submission"
tab, and choose MathUI.
The submissions will be reviewed by the programme committee
whose comments and recommendations will be sent back by July 21th
requesting a final version (4 - 12 pages) no later than July 25th.
PC COMMITTEE
- Andrea Kohlhase (organizer), Neu-Ulm University of Applied Sciences
- Paul Libbrecht, IUBH University of Applied Sciences
- Marco Pollanen, Trent University
- Moritz Schubotz, FIZ Karlsruhe - Leibniz Institute for Information
Infrastructure
For inquiries please contact
Andrea Kohlhase, Andrea.Kohlhase(a)hnu.de
HOPE TO SEE YOU AT MathUI'21!
HI Jérôme,
Thanks so much for the feedback! This paper looks super cool!
If you happen to know anyone who might be interested in this project,
please feel free to forward the survey link :)
I would also appreciate your thoughts on where I should post this
message to recruit more participants!
Thanks again!
Hong
On Thu, May 27, 2021 at 4:58 AM jerome.hergueux(a)gmail.com
<jerome.hergueux(a)gmail.com> wrote:
>
> Greetings,
>
> Thank you for your message. Your project has a lot of value for this community. Too little effort is currently being dedicated to designing, testing and calibrating tools such as ORES, even though they have huge implications -- and potential payoffs -- in terms of the quality of community governance (i.e., striking the right balance between inclusion of good faith editors, and exclusion of malicious ones).
>
> You might be interested in the attached paper (just published), which makes exactly this point, and calls for projects such as yours.
>
> So thanks for undertaking this, and good luck with it! :)
>
> Jérôme
>
>
> De : hongshenus(a)gmail.com
> À : wiki-research-l(a)lists.wikimedia.org
> Sujet : [Wiki-research-l] Should ORES be aggressive to catch vandalism or should ORES be less aggressive to be nice to newcomers?
> Date : 26/05/2021 19:48:34 Europe/Paris
>
> Hello everyone!
>
> Imagine you’ve just spent 10 minutes working on what you earnestly
> thought would be a helpful edit to your favorite article. You click
> that bright blue “Publish changes” button for the very first time, and
> you see your edit go live! Weeee! But 10 seconds later, you refresh
> the page and discover that your edit has been reverted.
>
> Actually, an AI system - called ORES- has contributed to the judgement
> of hundreds of thousands of edits on Wikipedia. [[:mw:ORES|ORES]] is a
> machine learning system that automatically predicts edit and article
> quality to support editing tools in Wikipedia. I'm exploring
> strategies for tuning ORES predictions about quality and vandalism to
> your needs -- and I'd like to work with you!!!
>
> I'm a HCI research at Carnegie Mellon University and I am are looking for editors
> to discuss the values of Wikipedia as it relates to ORES. More details are available at:
> https://meta.wikimedia.org/wiki/Research:Facilitating_Public_Deliberation_o…
>
> If you are interested in participating, please fill out the short survey below.
> If you have any suggestions or thoughts on the project, please also feel free to get in touch with me!
> Thanks so much!
>
> Survey link: https://forms.gle/FEihgEWaG9wSv8Dr8
> _______________________________________________
> Wiki-research-l mailing list -- wiki-research-l(a)lists.wikimedia.org
> To unsubscribe send an email to wiki-research-l-leave(a)lists.wikimedia.org
Hello everyone!
Imagine you’ve just spent 10 minutes working on what you earnestly
thought would be a helpful edit to your favorite article. You click
that bright blue “Publish changes” button for the very first time, and
you see your edit go live! Weeee! But 10 seconds later, you refresh
the page and discover that your edit has been reverted.
Actually, an AI system - called ORES- has contributed to the judgement
of hundreds of thousands of edits on Wikipedia. [[:mw:ORES|ORES]] is a
machine learning system that automatically predicts edit and article
quality to support editing tools in Wikipedia. I'm exploring
strategies for tuning ORES predictions about quality and vandalism to
your needs -- and I'd like to work with you!!!
I'm a HCI research at Carnegie Mellon University and I am are looking for editors
to discuss the values of Wikipedia as it relates to ORES. More details are available at:
https://meta.wikimedia.org/wiki/Research:Facilitating_Public_Deliberation_o…
If you are interested in participating, please fill out the short survey below.
If you have any suggestions or thoughts on the project, please also feel free to get in touch with me!
Thanks so much!
Survey link: https://forms.gle/FEihgEWaG9wSv8Dr8
Hi everyone,
*This is an event in Spanish*
I wanted to share with you an event organized with Wikimedians from Mexico,
Luis Alvaz and Jose Flores as well as a journalist from Ecuador Chequa
- Alliwa Pazmiño.
*When*
Friday, May 28th, 12 pm ET
*Where*
Zoom: This is the link to register for the event:
https://forms.gle/rwDwoThLZ6tduyxv8
*What is it*
The event brings together professionals from the news world and wiki
movement to talk about challenges within current news and online
information ecosystem in "Latin America" (countries represented here are
Ecuador and Mexico) as well as the role of Wikipedia as a vector for
credible, verified, fact-checked information to mass audiences in these
crucial times (Covid, elections, heightened partisanship).
*You can find speakers info and description of the event
here: https://bit.ly/3uOm57T <https://bit.ly/3uOm57T>*
As always, I welcome and appreciate the participation from Wikipedians to
add to the talking points during the event, challenge them. This event is
going to be a lightening presentations style event + Q&A
Best,
A
Hello all.
We wrote the very first version of the book "Programming Wikidata for youth
and students":
https://www.dropbox.com/sh/0ujam53seriygmg/AAA83UtcAA5dCL2LpQ4ueOQGa?dl=0
LaTeX source code is available on GitHub:
https://github.com/componavt/wd_book
If you are interested in participating in the writing of this book,
please write
to me (andrew.krizhanovsky at gmail.com).
I am teaching a course at Petrozavodsk State University, the results of
this course are presented in the Wikiversity project "Research in
programming Wikidata" (https://w.wiki/3MKp). Therefore, I hope that this
book will be updated and replenished with new materials every year.
Best regards,
Andrew Krizhanovsky.