Apologies, a clarification about the time:
This will be at 11:30AM (PST) 19:30 UTC.
On Mon, Dec 11, 2017 at 4:21 PM, Lani Goto <lgoto(a)wikimedia.org> wrote:
> Hi Everyone,
>
> The next Research Showcase will be live-streamed this Wednesday, December
> 13, 2017 at 11:15 AM (PST) 18:15 UTC.
>
> YouTube stream: https://www.youtube.com/watch?v=OoVwus1Owtk
>
> As usual, you can join the conversation on IRC at #wikimedia-research.
> And, you can watch our past research showcases here.
>
> This month's presentation:
> *The State of the Article Expansion Recommendation System*
> By Leila Zia
> Only 1% of English Wikipedia articles are labeled with quality class Good
> or better, and 37% of the articles are stubs. We are building an article
> expansion recommendation system to change this in Wikipedia, across many
> languages. In this presentation, I will talk with you about our current
> thinking of the vision and direction of the research that can help us build
> such a recommendation system, and share more about one specific area of
> research we have heavily focused on in the past months: building a
> recommendation system that can help editors identify what sections to add
> to an already existing article. I present some of the challenges we faced,
> the methods we devised or used to overcome them, and the result of the
> first line of experiments on the quality of such recommendations (teaser:
> the results are really promising. The precision and recall at 10 is 80%.)
>
>
> --
> Lani Goto
> Project Assistant, Engineering Admin
>
--
Lani Goto
Project Assistant, Engineering Admin
Leila and Lani,
The Article Expansion Recommendation System is an absolutely
spectacular project, which will clearly very substantially improve the
encyclopedia in ways that perhaps no other single effort has come near
to being able, so I can't wait to learn more about it. But I might not
be able to make the live-stream time, so I want to get in this
question in advance:
Are you using or do you plan to use ORES quality predictions, the
upcoming article importance predictions, and pageview statistics to
rank article expansion recommendations?
> The next Research Showcase will be live-streamed this Wednesday, December
> 13, 2017 at 11:15 AM (PST) 18:15 UTC.
>
> YouTube stream: https://www.youtube.com/watch?v=OoVwus1Owtk
>
> As usual, you can join the conversation on IRC at #wikimedia-research. And,
> you can watch our past research showcases here.
>
> This month's presentation:
> "The State of the Article Expansion Recommendation System"
>
> By Leila Zia
>
> Only 1% of English Wikipedia articles are labeled with quality class Good
> or better, and 37% of the articles are stubs. We are building an article
> expansion recommendation system to change this in Wikipedia, across many
> languages. In this presentation, I will talk with you about our current
> thinking of the vision and direction of the research that can help us build
> such a recommendation system, and share more about one specific area of
> research we have heavily focused on in the past months: building a
> recommendation system that can help editors identify what sections to add
> to an already existing article. I present some of the challenges we faced,
> the methods we devised or used to overcome them, and the result of the
> first line of experiments on the quality of such recommendations (teaser:
> the results are really promising. The precision and recall at 10 is 80%.)
Hi Everyone,
The next Research Showcase will be live-streamed this Wednesday, December
13, 2017 at 11:15 AM (PST) 18:15 UTC.
YouTube stream: https://www.youtube.com/watch?v=OoVwus1Owtk
As usual, you can join the conversation on IRC at #wikimedia-research. And,
you can watch our past research showcases here.
This month's presentation:
*The State of the Article Expansion Recommendation System*
By Leila Zia
Only 1% of English Wikipedia articles are labeled with quality class Good
or better, and 37% of the articles are stubs. We are building an article
expansion recommendation system to change this in Wikipedia, across many
languages. In this presentation, I will talk with you about our current
thinking of the vision and direction of the research that can help us build
such a recommendation system, and share more about one specific area of
research we have heavily focused on in the past months: building a
recommendation system that can help editors identify what sections to add
to an already existing article. I present some of the challenges we faced,
the methods we devised or used to overcome them, and the result of the
first line of experiments on the quality of such recommendations (teaser:
the results are really promising. The precision and recall at 10 is 80%.)
--
Lani Goto
Project Assistant, Engineering Admin
Hi everyone,
We’re preparing for the September 2017 research newsletter and looking for contributors. Please take a look at: https://etherpad.wikimedia.org/p/WRN201709 and add your name next to any paper you are interested in covering. Our target publication date is on December 14 UTC. As usual, short notes and one-paragraph reviews are most welcome.
Highlights from this month:
• Etude de la véracité des articles médicaux sur Wikipédia
• Nonhuman language agents in online collaborative communities: Comparing Hebrew Wikipedia and Facebook translations
• Reading Wikipedia to Answer Open-Domain Questions
• Relative Quality and Popularity Evaluation of Multilingual Wikipedia Articles
• Roles and Success in Wikipedia Talk Pages: Identifying Latent Patterns of Behavior
• Wikipedia Verification Check: A Chrome Browser Extension
If you have any question about the format or process feel free to get in touch off-list.
Masssly, Tilman Bayer and Dario Taraborelli
[1] http://meta.wikimedia.org/ wiki/Research:Newsletter
*** APOLOGIES FOR CROSS-POSTING ***
THE WEB CONFERENCE 2018
Lyon, France April 23-27, 2018
ALTERNATE TRACK ON
JOURNALISM, MISINFORMATION AND FACT CHECKING
https://www2018.thewebconf.org/call-for-papers/misinformation-cfp/
Misinformation has been spreading on the Web since its inception as an
hyperconnected searchable medium, but recent developments, both in
technology, the information ecosystem, and society at large, have made
it more prominent, calling for more investigation on the topic. As
"fake news" (false or inaccurate articles fabricated for deceptive and
financial purposes and presented as news reports), computational
propaganda, astroturf, and ideological polarization become more common
on the Web and the social Web, a cross-cutting and interdisciplinary
approach is needed.
This track welcomes two types of contributions: a) research papers, b)
perspective pieces. Contributions should explore the range of
computational, social, cognitive, economic, and communication topics
related to the above phenomena. Specifically, the track will examine
recent computational approaches for detecting misinformation and
propaganda on the Web and social media, as well as proposals to
improve fact checking, critical thinking, information and media
literacy, crowdsourcing, and societal decision-making processes.
Contributions introducing new benchmark data sets or methods are
especially welcome.
Accepted papers will be published in the official satellite
proceedings.
Special issue
A selection of the best contributions will be invited to be submitted,
after proper revision and extension, for consideration for the
upcoming special issue on "Combating Digital Misinformation and
Disinformation" of the ACM Journal of Data and Information Quality.
Misinformation Track Chairs
* Giovanni Luca Ciampaglia (Indiana University Network Science
Institute)
* Kristina Lerman (USC-Information Sciences Institute)
* Panagiotis Takis Metaxas (Wellesley College)
Contact: misinfochairs (at) www2018.thewebconf.org
Submission guideline
Submissions should follow the guideline information on the general Web
Conference. In addition, they should obey the following guidelines:
Page limit
Submissions should be formatted to not exceed eight pages. The page
limit includes any diagrams or appendices but does not include
references that have no page limit. No author identification: PDF
files must be ready for double-blind review, that is, the submitted
document should not include author information and should not include
citations or discussion of related work that would make the authorship
apparent.
Originality
Submissions must represent new and original work. Concurrent
submissions are not allowed. Papers that have been published in or
accepted to any peer-reviewed journal or conference/workshop with
published proceedings, are currently under review or will be submitted
to other meetings or publications while under review in this
conference may not be submitted. However, submissions that are
available online and/or have been previously presented orally or as
posters in venues with no formal proceedings, are allowed. Note that
if they are available online (e.g., via arXiv) and not anonymous,
authors should make an effort to preserve anonymity, e.g., by making
the title and abstract of the conference submission sufficiently
different from one available online, and so limit the risk that a
direct search will reveal their identity.
Proper attribution
Additionally, the ACM has a strict policy against plagiarism and
self-plagiarism (http://www.acm.org/publications/policies/plagiarism).
All prior work must be appropriately cited.
Submission website
https://easychair.org/conferences/?conf=www2018satellites
(opens Dec 06)
Important dates
* Full papers submission form open: 06 December 2017
* Full papers submission deadline: 05 January 2018
* Papers acceptance notification: 14 February 2018
* Papers final version due: 25 February 2018
All submission deadlines are at 9:00pm HAST.
Rights and Permissions
See copyright note on main CFP page:
https://www2018.thewebconf.org/call-for-papers/#copyright
Program Committee
* Harith Alani (Knowledge Media Institute, The Open University)
* Jisun An (Qatar Computing Research Institute, Hamad Bin Khalifa
University)
* Joshua Benton (Nieman Lab, Harvard University)
* Guido Caldarelli (Institute for Complex System, Italian National
Research Council)
* Carlos Castillo (Eurecat - Technology Centre of Catalonia)
* James Caverlee (Texas A&M University)
* Meeyoung Cha (Korea Advanced Institute of Science and Technology /
Facebook, Inc.)
* Robin Cohen (University of Waterloo)
* Nicholas Diakopoulos (University of Maryland)
* Lucia Falzon (Defence Science and Technology Group)
* Emilio Ferrara (Information Sciences Institute, University of
Southern California)
* Aram Galstyan (Information Sciences Institute, University of
Southern California)
* Kelly Garrett (Ohio State University)
* Amira Ghenai (University of Waterloo)
* Yevgeniy Golovchenko (University of Copenhagen)
* Nir Grinberg (Northeastern University / Harvard University)
* Noriko Hara (Indiana University)
* Naeemul Hassan (University of Mississippi)
* Jim Hendler (Rensselaer Polytechnic Institute)
* Jeff Jarvis (Tow-Knight Center, CUNY Graduate School of Journalism)
* Prakruthi Karuna (George Mason University)
* Brian Keegan (University of Colorado Boulder)
* Johannes Kiesel (Bauhaus-Universitat Weimar)
* Hemank Lamba (Carnegie Mellon University)
* Gerry Lanosga (Indiana University)
* Dongwon Lee (Penn State University)
* Xiao Ma (Cornell Tech)
* Alexios Mantzarlis (International Fact-Checking Network, Poynter
Institute)
* Winter Mason (Facebook, Inc.)
* Gregory Maus (Indiana University)
* Miriam Metzger (University of California Santa Barbara)
* An Mina (Berkman Klein Center for Internet & Society, Harvard
University)
* Tanushree Mitra (Georgia Institute of Technology)
* Elaheh Momeni (University of Vienna)
* Fred Morstatter (Information Sciences Institute, University of
Southern California)
* Eni Mustafaraj (Wellesley College)
* Christine Ogan (Indiana University)
* John Paolillo (Indiana University)
* David Rothschild (Microsoft Research)
* Giancarlo Ruffo (University of Turin)
* Kazutoshi Sasahara (Nagoya University)
* Nishanth Sastry (King's College London)
* Craig Silverman (Buzzfeed)
* Emmanuel Vincent (Climate Feedback)
* Tim Weninger (University of Notre Dame)
* Christo Wilson (Northeastern University)
* Jun Yang (Duke University)
* Cong Yu (Google Research)
* Amy Zhang (Massachussets Institute of Technology)
--
Giovanni Luca Ciampaglia <glciampagl(a)gmail.com> ∙ Assistant Research
Scientist
IU Network Science Institute <http://iuni.iu.edu/> ∙ glciampaglia.com
News [image: 🕫]*WWW 2018* ∙ Alternate track on Journalism, Misinformation,
and Fact Checking:
https://www2018.thewebconf.org/call-for-papers/misinformation-cfp/
I am helping to organise an Open Panel at 4S Sydney, August 29 - September
1 2018 (https://4s2018sydney.org/) around "Cultures of Fact Travel". Hoping
that there will be some Wikipedia/WikiData/citizen science scholars in
Sydney. If you're looking at production/evaluation/distribution of factual
knowledge in digitally-mediated environments, please apply! Abstracts
close: Feb 1st, 2018.
79. Cultures of fact travel
Organisers: Dr Heather Ford, University of New South Wales; Professor
Christopher W. Anderson (University of Leeds), Dr Lucas Graves (University
of Oxford)
This panel invites research that addresses how facts and knowledge claims
are represented in online spaces, how they are evaluated and verified, the
ways in which they face opposition or reach consensus, and/or how they
travel through the infrastructures of the Internet. A large variety of
sites and practices have emerged to host and distribute facts in online
environments. New facts are born digital in the form of databases, data
visualisations, online dictionaries and encyclopaedic entries while facts
that existed before the Internet are digitised and encoded using the rules
and grammar of software. In this environment, facts are produced and
represented using software for visualising data and exporting
visualisations into Web-friendly formats, where facts are verified on fact
checking platforms and where facts are distributed and shared using
software such as the ‘share this’ button at the end of a newspaper article,
a ‘cite this’ button on a scientific journal article, or a retweet function
on Twitter. In order for a fact to travel, it needs to move from beyond its
origins in the lab, the institution, company, field, or community to new
audiences. Sometimes this translation happens between institutions,
sometimes it happens between fields, or between countries, continents or
languages. This panel will host different approaches to the production,
evaluation, and distribution of facts in digitally-mediated environments.
Open panel paper submissions should be in the form of abstracts of up to
250 words. They should include the paper’s main arguments, methods, and
contributions to STS.
When submitting papers to open panels on the abstract submission platform,
you will select the Open Panel you are submitting to. Papers submitted to
an open session will be reviewed by the open session organizers and will be
given first consideration for that session. Papers not included in the
session to which they were submitted will be considered for other sessions.