The WMF Research team has published a new pageview report of inbound
traffic coming from Facebook, Twitter, YouTube, and Reddit.[1]
The report contains a list of all articles that received at least 500 views
from one or more of these platforms (i.e. someone clicked a link on Twitter
that sent them directly to a Wikipedia article). The report is available
on-wiki and will be updated daily at around 14:00 UTC with traffic counts
from the previous calendar day.
We believe this report provides editors with a valuable new information
source. Daily inbound social media traffic stats can help editors monitor
edits to articles that are going viral on social media sites and/or are
being linked to by the social media platform itself in order to fact-check
disinformation and other controversial content[2][3].
The social media traffic report also contains additional public article
metadata that may be useful in the context of monitoring articles that are
receiving unexpected attention from social media sites, such as...
- the total number of pageviews (from all sources) that article received
in the same period of time
- the number of pageviews the article received from the same platform
(e.g. Facebook) the previous day (two days ago)
- the number of editors who have the page on their watchlist
- the number of editors who have watchlisted the page AND recently
visited it
We want your feedback! We have some ideas of our own for how to improve the
report, but we want to hear yours! If you have feature suggestions, please
add them here.[4] We intend to maintain this daily report for at least the
next two months. If we receive feedback that the report is useful, we are
considering making it available indefinitely.
If you have other questions about the report, please first check out our
(still growing) FAQ [5]. All questions, comments, concerns, ideas, etc. are
welcome on the project talkpage on Meta.[4]
1. https://en.wikipedia.org/wiki/User:HostBot/Social_media_traffic_report
2.
https://www.engadget.com/2018/03/15/wikipedia-unaware-would-be-youtube-fact…
3.
https://mashable.com/2017/10/05/facebook-wikipedia-context-articles-news-fe…
4.
https://meta.wikimedia.org/wiki/Research_talk:Social_media_traffic_report_p…
5.
https://meta.wikimedia.org/wiki/Research:Social_media_traffic_report_pilot/…
Cheers,
Jonathan
--
Jonathan T. Morgan
Senior Design Researcher
Wikimedia Foundation
User:Jmorgan (WMF) <https://meta.wikimedia.org/wiki/User:Jmorgan_(WMF)>
(Uses He/Him)
*Please note that I do not expect a response from you on evenings or
weekends*
Hi everyone,
We are delighted to announce that Wiki Workshop 2020 will be held in
Taipei on April 20 or 21, 2020 (the date to be finalized soon) and as
part of the Web Conference 2020 [1]. In the past years, Wiki Workshop
has traveled to Oxford, Montreal, Cologne, Perth, Lyon, and San
Francisco.
You can read more about the call for papers and the workshops at
http://wikiworkshop.org/2020/#call. Please note that the deadline for
the submissions to be considered for proceedings is January 17. All
other submissions should be received by February 21.
If you have questions about the workshop, please let us know on this
list or at wikiworkshop(a)googlegroups.com.
Looking forward to seeing you in Taipei.
Best,
Miriam Redi, Wikimedia Foundation
Bob West, EPFL
Leila Zia, Wikimedia Foundation
[1] https://www2020.thewebconf.org/
Hello everyone,
Could you please let me know of Wikimedia research initiatives about the
coronavirus crisis?
Is there anyone in the Wikimedia community interested in collaboration for
the different AI/ML/NLP challenges ?
https://www.kaggle.com/allen-institute-for-ai/CORD-19-research-challenge/ta…https://covid-global-hackathon.devpost.com/https://devpost.com/hackathons?utf8=%E2%9C%93&search=coronavirus&challenge_…
Take care !
Best regards,
Ludovic BOCKEN
lbocken(a)gmail.com
www.ludovicbocken.com
Skype: ludovic.bocken
http://www.linkedin.com/in/ludovicbocken
2222 Rue Hochelaga,
Montréal, QC H2K 4N8
+1 (514) 649 0755
*Avis de confidentialité*
Le présent message transmis par télécopie est confidentiel, et son contenu
peut être protégé par le secret professionnel. Il est à l’usage exclusif de
son ou sa destinataire. Toute autre personne est par les présentes avisée
qu’il lui est strictement interdit de le diffuser, de le distribuer ou de
le reproduire. Si la ou le destinataire ne peut être joint ou vous est
inconnu, nous vous prions d’en informer immédiatement l’expéditeur ou
l’expéditrice et de détruire ce message et toute copie de celui-ci.
Le mar. 24 mars 2020 à 20:21, <wiki-research-l-request(a)lists.wikimedia.org>
a écrit :
> Send Wiki-research-l mailing list submissions to
> wiki-research-l(a)lists.wikimedia.org
>
> To subscribe or unsubscribe via the World Wide Web, visit
> https://lists.wikimedia.org/mailman/listinfo/wiki-research-l
> or, via email, send a message with subject or body 'help' to
> wiki-research-l-request(a)lists.wikimedia.org
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> You can reach the person managing the list at
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>
> When replying, please edit your Subject line so it is more specific
> than "Re: Contents of Wiki-research-l digest..."
>
>
> Today's Topics:
>
> 1. Re: [Announcement] Daily Social Media Traffic Report for
> English Wikipedia articles (Jonathan Morgan)
> 2. Re: [Announcement] Daily Social Media Traffic Report for
> English Wikipedia articles (john cummings)
> 3. Re: [Announcement] Daily Social Media Traffic Report for
> English Wikipedia articles (Jonathan Morgan)
> 4. [job] Fwd: Post-doc postion at Max Planck Institute for
> Demographic Research, Rostock, Germany (Leila Zia)
>
>
> ----------------------------------------------------------------------
>
> Message: 1
> Date: Tue, 24 Mar 2020 08:02:09 -0700
> From: Jonathan Morgan <jmorgan(a)wikimedia.org>
> To: Wiki Research-l <wiki-research-l(a)lists.wikimedia.org>
> Subject: Re: [Wiki-research-l] [Announcement] Daily Social Media
> Traffic Report for English Wikipedia articles
> Message-ID:
> <
> CANiB+Xq5bObtpPaLdV-zAVNQXEQkHiwWNvWBRKdSWjizZ_sqjA(a)mail.gmail.com>
> Content-Type: text/plain; charset="UTF-8"
>
> Gerard,
>
> It's a pilot, so it's not available for other wikis yet. If we receive
> community feedback that indicates that the resource is welcome and is being
> used, we will definitely lobby for making this resource available for all
> wikis, on a long-term basis.
>
> If you would like to see this resource maintained, experiment with it and
> provide feedback
> <
> https://meta.wikimedia.org/wiki/Research_talk:Social_media_traffic_report_p…
> >
> !
>
> Best,
> Jonathan
>
> On Mon, Mar 23, 2020 at 10:53 PM Gerard Meijssen <
> gerard.meijssen(a)gmail.com>
> wrote:
>
> > Hoi,
> > Does this work for any Wikipedia? If so, where can I find it for the
> Dutch,
> > the German, the French, the Chinese, the Russian Wikipedia??
> > Thanks,
> > GerardM
> >
> > On Mon, 23 Mar 2020 at 20:24, Jonathan Morgan <jmorgan(a)wikimedia.org>
> > wrote:
> >
> > > The WMF Research team has published a new pageview report of inbound
> > > traffic coming from Facebook, Twitter, YouTube, and Reddit.[1]
> > >
> > > The report contains a list of all articles that received at least 500
> > views
> > > from one or more of these platforms (i.e. someone clicked a link on
> > Twitter
> > > that sent them directly to a Wikipedia article). The report is
> available
> > > on-wiki and will be updated daily at around 14:00 UTC with traffic
> counts
> > > from the previous calendar day.
> > >
> > > We believe this report provides editors with a valuable new information
> > > source. Daily inbound social media traffic stats can help editors
> monitor
> > > edits to articles that are going viral on social media sites and/or are
> > > being linked to by the social media platform itself in order to
> > fact-check
> > > disinformation and other controversial content[2][3].
> > >
> > > The social media traffic report also contains additional public article
> > > metadata that may be useful in the context of monitoring articles that
> > are
> > > receiving unexpected attention from social media sites, such as...
> > >
> > > - the total number of pageviews (from all sources) that article
> > received
> > > in the same period of time
> > > - the number of pageviews the article received from the same
> platform
> > > (e.g. Facebook) the previous day (two days ago)
> > > - the number of editors who have the page on their watchlist
> > > - the number of editors who have watchlisted the page AND recently
> > > visited it
> > >
> > > We want your feedback! We have some ideas of our own for how to improve
> > the
> > > report, but we want to hear yours! If you have feature suggestions,
> > please
> > > add them here.[4] We intend to maintain this daily report for at least
> > the
> > > next two months. If we receive feedback that the report is useful, we
> are
> > > considering making it available indefinitely.
> > >
> > > If you have other questions about the report, please first check out
> our
> > > (still growing) FAQ [5]. All questions, comments, concerns, ideas, etc.
> > are
> > > welcome on the project talkpage on Meta.[4]
> > >
> > > 1.
> > https://en.wikipedia.org/wiki/User:HostBot/Social_media_traffic_report
> > > 2.
> > >
> > >
> >
> https://www.engadget.com/2018/03/15/wikipedia-unaware-would-be-youtube-fact…
> > > 3.
> > >
> > >
> >
> https://mashable.com/2017/10/05/facebook-wikipedia-context-articles-news-fe…
> > > 4.
> > >
> > >
> >
> https://meta.wikimedia.org/wiki/Research_talk:Social_media_traffic_report_p…
> > > 5.
> > >
> > >
> >
> https://meta.wikimedia.org/wiki/Research:Social_media_traffic_report_pilot/…
> > >
> > > Cheers,
> > > Jonathan
> > >
> > > --
> > > Jonathan T. Morgan
> > > Senior Design Researcher
> > > Wikimedia Foundation
> > > User:Jmorgan (WMF) <https://meta.wikimedia.org/wiki/User:Jmorgan_(WMF)
> >
> > > (Uses He/Him)
> > >
> > > *Please note that I do not expect a response from you on evenings or
> > > weekends*
> > > _______________________________________________
> > > Wiki-research-l mailing list
> > > Wiki-research-l(a)lists.wikimedia.org
> > > https://lists.wikimedia.org/mailman/listinfo/wiki-research-l
> > >
> > _______________________________________________
> > Wiki-research-l mailing list
> > Wiki-research-l(a)lists.wikimedia.org
> > https://lists.wikimedia.org/mailman/listinfo/wiki-research-l
> >
>
>
> --
> Jonathan T. Morgan
> Senior Design Researcher
> Wikimedia Foundation
> User:Jmorgan (WMF) <https://meta.wikimedia.org/wiki/User:Jmorgan_(WMF)>
> (Uses He/Him)
>
> *Please note that I do not expect a response from you on evenings or
> weekends*
>
>
> ------------------------------
>
> Message: 2
> Date: Tue, 24 Mar 2020 16:54:54 +0100
> From: john cummings <mrjohncummings(a)gmail.com>
> To: Research into Wikimedia content and communities
> <wiki-research-l(a)lists.wikimedia.org>
> Subject: Re: [Wiki-research-l] [Announcement] Daily Social Media
> Traffic Report for English Wikipedia articles
> Message-ID:
> <CA+WGNV7zqyjYKayhRvmHuMXx1LOmpmB=hqcHW9sRt-F=
> rpOS6Q(a)mail.gmail.com>
> Content-Type: text/plain; charset="UTF-8"
>
> Hi Jonathan
>
> This is really great, my initial thought is these metrics describe part of
> the role Wikipedia is playing in combating disinformation/fake news,
> reliable sources etc. You link to this in your email to the Mashable
> article but this isn't described on the meta page. This is a very popular
> topic of research and I'm sure would be interesting to people researching
> this and would help people to find it.
>
>
>
> On Tue, 24 Mar 2020 at 16:03, Jonathan Morgan <jmorgan(a)wikimedia.org>
> wrote:
>
> > Gerard,
> >
> > It's a pilot, so it's not available for other wikis yet. If we receive
> > community feedback that indicates that the resource is welcome and is
> being
> > used, we will definitely lobby for making this resource available for all
> > wikis, on a long-term basis.
> >
> > If you would like to see this resource maintained, experiment with it and
> > provide feedback
> > <
> >
> https://meta.wikimedia.org/wiki/Research_talk:Social_media_traffic_report_p…
> > >
> > !
> >
> > Best,
> > Jonathan
> >
> > On Mon, Mar 23, 2020 at 10:53 PM Gerard Meijssen <
> > gerard.meijssen(a)gmail.com>
> > wrote:
> >
> > > Hoi,
> > > Does this work for any Wikipedia? If so, where can I find it for the
> > Dutch,
> > > the German, the French, the Chinese, the Russian Wikipedia??
> > > Thanks,
> > > GerardM
> > >
> > > On Mon, 23 Mar 2020 at 20:24, Jonathan Morgan <jmorgan(a)wikimedia.org>
> > > wrote:
> > >
> > > > The WMF Research team has published a new pageview report of inbound
> > > > traffic coming from Facebook, Twitter, YouTube, and Reddit.[1]
> > > >
> > > > The report contains a list of all articles that received at least 500
> > > views
> > > > from one or more of these platforms (i.e. someone clicked a link on
> > > Twitter
> > > > that sent them directly to a Wikipedia article). The report is
> > available
> > > > on-wiki and will be updated daily at around 14:00 UTC with traffic
> > counts
> > > > from the previous calendar day.
> > > >
> > > > We believe this report provides editors with a valuable new
> information
> > > > source. Daily inbound social media traffic stats can help editors
> > monitor
> > > > edits to articles that are going viral on social media sites and/or
> are
> > > > being linked to by the social media platform itself in order to
> > > fact-check
> > > > disinformation and other controversial content[2][3].
> > > >
> > > > The social media traffic report also contains additional public
> article
> > > > metadata that may be useful in the context of monitoring articles
> that
> > > are
> > > > receiving unexpected attention from social media sites, such as...
> > > >
> > > > - the total number of pageviews (from all sources) that article
> > > received
> > > > in the same period of time
> > > > - the number of pageviews the article received from the same
> > platform
> > > > (e.g. Facebook) the previous day (two days ago)
> > > > - the number of editors who have the page on their watchlist
> > > > - the number of editors who have watchlisted the page AND recently
> > > > visited it
> > > >
> > > > We want your feedback! We have some ideas of our own for how to
> improve
> > > the
> > > > report, but we want to hear yours! If you have feature suggestions,
> > > please
> > > > add them here.[4] We intend to maintain this daily report for at
> least
> > > the
> > > > next two months. If we receive feedback that the report is useful, we
> > are
> > > > considering making it available indefinitely.
> > > >
> > > > If you have other questions about the report, please first check out
> > our
> > > > (still growing) FAQ [5]. All questions, comments, concerns, ideas,
> etc.
> > > are
> > > > welcome on the project talkpage on Meta.[4]
> > > >
> > > > 1.
> > > https://en.wikipedia.org/wiki/User:HostBot/Social_media_traffic_report
> > > > 2.
> > > >
> > > >
> > >
> >
> https://www.engadget.com/2018/03/15/wikipedia-unaware-would-be-youtube-fact…
> > > > 3.
> > > >
> > > >
> > >
> >
> https://mashable.com/2017/10/05/facebook-wikipedia-context-articles-news-fe…
> > > > 4.
> > > >
> > > >
> > >
> >
> https://meta.wikimedia.org/wiki/Research_talk:Social_media_traffic_report_p…
> > > > 5.
> > > >
> > > >
> > >
> >
> https://meta.wikimedia.org/wiki/Research:Social_media_traffic_report_pilot/…
> > > >
> > > > Cheers,
> > > > Jonathan
> > > >
> > > > --
> > > > Jonathan T. Morgan
> > > > Senior Design Researcher
> > > > Wikimedia Foundation
> > > > User:Jmorgan (WMF) <
> https://meta.wikimedia.org/wiki/User:Jmorgan_(WMF)
> > >
> > > > (Uses He/Him)
> > > >
> > > > *Please note that I do not expect a response from you on evenings or
> > > > weekends*
> > > > _______________________________________________
> > > > Wiki-research-l mailing list
> > > > Wiki-research-l(a)lists.wikimedia.org
> > > > https://lists.wikimedia.org/mailman/listinfo/wiki-research-l
> > > >
> > > _______________________________________________
> > > Wiki-research-l mailing list
> > > Wiki-research-l(a)lists.wikimedia.org
> > > https://lists.wikimedia.org/mailman/listinfo/wiki-research-l
> > >
> >
> >
> > --
> > Jonathan T. Morgan
> > Senior Design Researcher
> > Wikimedia Foundation
> > User:Jmorgan (WMF) <https://meta.wikimedia.org/wiki/User:Jmorgan_(WMF)>
> > (Uses He/Him)
> >
> > *Please note that I do not expect a response from you on evenings or
> > weekends*
> > _______________________________________________
> > Wiki-research-l mailing list
> > Wiki-research-l(a)lists.wikimedia.org
> > https://lists.wikimedia.org/mailman/listinfo/wiki-research-l
> >
>
>
> ------------------------------
>
> Message: 3
> Date: Tue, 24 Mar 2020 12:55:39 -0700
> From: Jonathan Morgan <jmorgan(a)wikimedia.org>
> To: Wiki Research-l <wiki-research-l(a)lists.wikimedia.org>
> Subject: Re: [Wiki-research-l] [Announcement] Daily Social Media
> Traffic Report for English Wikipedia articles
> Message-ID:
> <
> CANiB+Xp-YMiY9tkZtuo1HAmoH8NA9BMCpriPUztSvehmzgToyw(a)mail.gmail.com>
> Content-Type: text/plain; charset="UTF-8"
>
> Stuart,
>
> This is possible. I talked to Isaac Johnson about this today. Basically,
> we'd need to build a regularly-updated database of articles-by-wikiproject
> (by parsing the wikiproject template on the talkpage, say). Then we could
> list all wikiprojects associated with each article and/or create some bot
> that notified each wikiproject if an article within its scope exceeded some
> traffic parameter.
>
> But this is a lot of work, but I've captured the proposal here
> <
> https://meta.wikimedia.org/w/index.php?title=Research_talk:Social_media_tra…
> >
> for future reference. Thanks!
>
> Jonathan
>
> On Mon, Mar 23, 2020 at 3:22 PM Stuart A. Yeates <syeates(a)gmail.com>
> wrote:
>
> > My immediate thought is how to connect this to the wiki projects for each
> > article, because wiki projects are the primary sources of expert
> knowledge
> > and have the resources to deal with many issues.
> >
> > Cheers
> > Stuart
> >
> > On Tue, 24 Mar 2020, 8:24 AM Jonathan Morgan, <jmorgan(a)wikimedia.org>
> > wrote:
> >
> > > The WMF Research team has published a new pageview report of inbound
> > > traffic coming from Facebook, Twitter, YouTube, and Reddit.[1]
> > >
> > > The report contains a list of all articles that received at least 500
> > views
> > > from one or more of these platforms (i.e. someone clicked a link on
> > Twitter
> > > that sent them directly to a Wikipedia article). The report is
> available
> > > on-wiki and will be updated daily at around 14:00 UTC with traffic
> counts
> > > from the previous calendar day.
> > >
> > > We believe this report provides editors with a valuable new information
> > > source. Daily inbound social media traffic stats can help editors
> monitor
> > > edits to articles that are going viral on social media sites and/or are
> > > being linked to by the social media platform itself in order to
> > fact-check
> > > disinformation and other controversial content[2][3].
> > >
> > > The social media traffic report also contains additional public article
> > > metadata that may be useful in the context of monitoring articles that
> > are
> > > receiving unexpected attention from social media sites, such as...
> > >
> > > - the total number of pageviews (from all sources) that article
> > received
> > > in the same period of time
> > > - the number of pageviews the article received from the same
> platform
> > > (e.g. Facebook) the previous day (two days ago)
> > > - the number of editors who have the page on their watchlist
> > > - the number of editors who have watchlisted the page AND recently
> > > visited it
> > >
> > > We want your feedback! We have some ideas of our own for how to improve
> > the
> > > report, but we want to hear yours! If you have feature suggestions,
> > please
> > > add them here.[4] We intend to maintain this daily report for at least
> > the
> > > next two months. If we receive feedback that the report is useful, we
> are
> > > considering making it available indefinitely.
> > >
> > > If you have other questions about the report, please first check out
> our
> > > (still growing) FAQ [5]. All questions, comments, concerns, ideas, etc.
> > are
> > > welcome on the project talkpage on Meta.[4]
> > >
> > > 1.
> > https://en.wikipedia.org/wiki/User:HostBot/Social_media_traffic_report
> > > 2.
> > >
> > >
> >
> https://www.engadget.com/2018/03/15/wikipedia-unaware-would-be-youtube-fact…
> > > 3.
> > >
> > >
> >
> https://mashable.com/2017/10/05/facebook-wikipedia-context-articles-news-fe…
> > > 4.
> > >
> > >
> >
> https://meta.wikimedia.org/wiki/Research_talk:Social_media_traffic_report_p…
> > > 5.
> > >
> > >
> >
> https://meta.wikimedia.org/wiki/Research:Social_media_traffic_report_pilot/…
> > >
> > > Cheers,
> > > Jonathan
> > >
> > > --
> > > Jonathan T. Morgan
> > > Senior Design Researcher
> > > Wikimedia Foundation
> > > User:Jmorgan (WMF) <https://meta.wikimedia.org/wiki/User:Jmorgan_(WMF)
> >
> > > (Uses He/Him)
> > >
> > > *Please note that I do not expect a response from you on evenings or
> > > weekends*
> > > _______________________________________________
> > > Wiki-research-l mailing list
> > > Wiki-research-l(a)lists.wikimedia.org
> > > https://lists.wikimedia.org/mailman/listinfo/wiki-research-l
> > >
> > _______________________________________________
> > Wiki-research-l mailing list
> > Wiki-research-l(a)lists.wikimedia.org
> > https://lists.wikimedia.org/mailman/listinfo/wiki-research-l
> >
>
>
> --
> Jonathan T. Morgan
> Senior Design Researcher
> Wikimedia Foundation
> User:Jmorgan (WMF) <https://meta.wikimedia.org/wiki/User:Jmorgan_(WMF)>
> (Uses He/Him)
>
> *Please note that I do not expect a response from you on evenings or
> weekends*
>
>
> ------------------------------
>
> Message: 4
> Date: Tue, 24 Mar 2020 17:21:19 -0700
> From: Leila Zia <lzia(a)wikimedia.org>
> To: Research into Wikimedia content and communities
> <wiki-research-l(a)lists.wikimedia.org>
> Subject: [Wiki-research-l] [job] Fwd: Post-doc postion at Max Planck
> Institute for Demographic Research, Rostock, Germany
> Message-ID:
> <CAK0Oe2sY=
> pgY7ovuK1vL5ONq3YFMiGniTzYJjH_yQKOo8BKQSg(a)mail.gmail.com>
> Content-Type: text/plain; charset="UTF-8"
>
> Some of you may be interested in the position below.
>
> Best,
> Leila
>
>
> ---------- Forwarded message ---------
> From: MPIDR - Career <career(a)demogr.mpg.de>
> Date: Mon, Mar 23, 2020 at 5:17 AM
> Subject: Post-doc postion at Max Planck Institute for Demographic
> Research, Rostock, Germany
> To:
>
> Dear Sir or Madame,
>
> Hopefully this message finds you well. We would like to distribute the
> attached post-doc ad on behalf of Emilio Zagheni in his Laboratory of
> Digital and Computational Demography at the Max Planck Institute for
> Demographic Research in Rostock, Germany. The details of the job
> vacancy and how to apply can be found here rsp. in the attached PDF:
>
>
>
> https://www.demogr.mpg.de/en/career_6122/jobs_fellowships_1910/postdocs_res…
>
>
>
> Please kindly distribute these vacancies among your fellow researchers
> and students at your institution.
>
>
>
> Data protection notice:
>
> We use your data exclusively to inform you about current news from the
> MPIDR. Please use the following contact to obtain information on
> personal data stored about you or to have the data changed at any
> time:
>
> career(a)demogr.mpg.de
>
> Should you no longer wish to receive news from the MPIDR, please click
> the following link:
>
> Unsubscribe from MPIDR news distribution list and kindly name the
> email adress this was sent to in case of delegation.
>
> Information on data protection can be accessed at any time on the
> website of the Max Planck Institute for Demographic Research
> (https://www.demogr.mpg.de/en/privacy_policy_5725/default.htm).
>
>
>
> Thanks a lot!
>
>
>
> Stay safe and healthy.
>
>
>
> With best wishes from Rostock,
>
>
>
>
>
> On behalf of
>
>
>
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FYI:
https://blog.mozilla.org/blog/2020/03/31/moss-launches-covid-19-solutions-f…
>From the announcement: *"Mozilla is announcing today the creation of a
COVID-19 Solutions Fund as part of the Mozilla Open Source Support Program
(MOSS). Through this fund, we will provide awards of up to $50,000 each to
open source technology projects which are responding to the COVID-19
pandemic in some way. *
*The MOSS Program, created in 2015, broadens access, increases security,
and empowers users by providing catalytic funding to open source
technologists. We have already seen inspiring examples of open source
technology being used to increase the capacity of the world’s healthcare
systems to cope with this crisis. For example, just a few days ago, the
University of Florida Center for Safety, Simulation, and Advanced Learning
Technologies released an open source ventilator
<https://simulation.health.ufl.edu/technology-development/open-source-ventil…>.
We believe there are many more life-saving open source technologies in the
world.*
*As part of the COVID-19 Solutions Fund, we will accept applications that
are hardware (e.g., an open source ventilator), software (e.g., a platform
that connects hospitals with people who have 3D printers who can print
parts for that open source ventilator), as well as software that solves for
secondary effects of COVID-19 (e.g., a browser plugin that combats COVID
related misinformation)."*
--
Jonathan T. Morgan
Senior Design Researcher
Wikimedia Foundation
User:Jmorgan (WMF) <https://meta.wikimedia.org/wiki/User:Jmorgan_(WMF)>
(Uses He/Him)
*Please note that I do not expect a response from you on evenings or
weekends*
Hi all,
We just launched [[WM:Techblog]] <https://techblog.wikimedia.org/>, a new
place to share stories from the Wikimedia technical community with the
world. Yay!
We created this venue to provide a central place for people to share
stories about the technical work that they do— like:
-
How to run a top ten website that is all Open Source?
-
How do we make our codebase more modular and future-proof?
-
How do we come together to work on technical projects?
-
How to develop a product for many different languages?
-
How do new tools and bots help run Wikimedia projects?
-
What can we learn from data science and research?
-
And, much more…
Check out these posts for examples:
Computational knowledge: Wikidata, Wikidata query Service, and women who
are mayors!
<https://techblog.wikimedia.org/2020/03/24/computational-knowledge-wikidata-…>
By Trey Jones
Parsoid in PHP, or There and Back Again
<https://techblog.wikimedia.org/2020/03/24/parsoid-in-php-or-there-and-back-…>,
By S.Subramanya Sastry and C.Scott Ananian
Wikimedia projects have many intersections with the larger Open Source
community. It’s our hope that the technical blog will create more
visibility and conversations and provide information to a wider audience of
people who are interested in our work.
If you are interested in writing a blog post, read the editorial guidelines
<https://www.mediawiki.org/wiki/Wikimedia_technical_blog_editorial_guidelines>
to learn about what would make a good story and how to get published! We
manage the process of reviewing and publishing posts here:
https://phabricator.wikimedia.org/tag/Technical-blog-posts
Thanks to everyone who contributed to making the blog possible. There were
many!
For the WM Techblog team,
Sarah R. Rodlund
Technical Writer, Developer Advocacy
<https://meta.wikimedia.org/wiki/Developer_Advocacy>
srodlund(a)wikimedia.org
Hi all,
The Research team at the Wikimedia Foundation has officially started a new
Formal Collaboration [1] with the University of Michigan and the University
of Washington, to work collaboratively on "The Role of Images for Knowledge
Understanding", as part of our Knowledge Gaps research efforts [3].
Eytan Adar (University of Michigan) and Katharina Reinecke (University of
Washington) will be the main formal collaborators contributing to this
project. We are thankful to them for agreeing to spend their time and
expertise on this project in the coming year! Also, many thanks to those
of you who have already worked with us as we were shaping the proposal for
this project.
We aim to keep the research documentation for this program in the
corresponding research page on meta [2], which will link to Epic level
Phabricator task capturing and as much as possible all research tasks
related to this project. I will be the point of contact for this research
in the Wikimedia Foundation. Please feel free to reach out if you have
comments or questions about the research!
Looking forward to working on this project!
Best,
Miriam
[1] https://www.mediawiki.org/wiki/Wikimedia_Research/Formal_collaborations
[2]
https://meta.wikimedia.org/wiki/Research:The_Role_of_Images_for_Knowledge_U…
[3]
https://commons.wikimedia.org/wiki/File:Knowledge_Gaps_%E2%80%93_Wikimedia_…
Hi Friends,
I submitted a Wikimedia project grant proposal for the 2020 round. I would
really appreciate it if you could check it out and endorse it if you
support the proposal.
https://meta.wikimedia.org/wiki/Grants:Project/JackieKoerner/Addressing_Imp…
The last day to share support is just days away. If addressing bias on
Wikipedia is important to you now is the time to speak up!
Thank you!
Best,
Jackie
--
Jackie Koerner, Ph.D.
jackiekoerner.com
[Apologies for cross-posting]
=====================================================================
EKAW 2020 CALL FOR PAPERS
https://ekaw2020.inf.unibz.it
Part of the Bolzano Summer of Knowledge 2020
https://summerofknowledge.inf.unibz.it
=====================================================================
KEY UPDATES
- Keynote Speakers:
* Axel-Cyrille Ngonga Ngomo (Paderborn University, Germany)
* Toby Walsh (University of New South Wales, Australia)
* Diana Maynard (University of Sheffield, United Kingdom)
- Workshops: Details of accepted workshops are now online at: https://ekaw2020.inf.unibz.it/accepted-workshops
- Coronavirus Pandemic: In light of potential travel disruption arising from the 2020 coronavirus pandemic, the EKAW 2020 organisation team is committed to finding alternative solutions, such as remote participation, for another successful EKAW conference.
=====================================================================
RESEARCH, IN-USE AND POSITION PAPERS
The 22nd International Conference on Knowledge Engineering and Knowledge Management concerns all aspects of eliciting, acquiring, modeling and managing knowledge, and the role of knowledge in the construction of systems and services for the semantic web, knowledge management, e-business, natural language processing, intelligent information integration, and so on.
The special theme of EKAW 2020 is "Ethical and Trustworthy Knowledge Engineering". While recent reported breaches relate predominantly to machine learning systems, it is not impossible to envision ethical breaches in knowledge engineering more broadly and, conversely, devise methods and techniques to ensure no or minimal harm in knowledge acquisition, modelling, and knowledge-driven information systems. EKAW 2020 will put a special emphasis on the importance of Knowledge Engineering and Knowledge Management to keep fostering trustworthy systems.
PROCEEDINGS
=============
The proceedings of the research track will be published by Springer Verlag in the Lecture Notes in Artificial Intelligence series<http://www.springer.com/lncs>.
TOPICS OF INTEREST
==================
EKAW 2020 welcomes papers dealing with theoretical, methodological, experimental, and application-oriented aspects of knowledge engineering and knowledge management.
In particular, but not exclusively, we solicit papers about methods, tools and methodologies on the following topics:
- Ethical and Trustworthy Knowledge Engineering
* Ethics and trust in automated reasoning
* Algorithmic transparency and explanations for knowledge-based systems
* Knowledge and ethics
* Ontologies for trust and ethics
* Trust and privacy in knowledge representation
- Knowledge Engineering and Acquisition
* Tools and methodologies for ontology engineering
* Ontology design patterns
* Ontology localisation
* Multilinguality in ontologies
* Ontology alignment
* Knowledge authoring and semantic annotation
* Knowledge acquisition from non-ontological resources (thesauri, folksonomies, etc.)
* Semi-automatic knowledge acquisition, e.g., ontology learning
* Collaborative knowledge acquisition and formalisation
* Mining the Semantic Web and the Web of Data
* Ontology evaluation and metrics
* Uncertainty and vagueness in knowledge representation
* Dealing with dynamic, distributed and emerging knowledge
- Knowledge Management
* Methodologies and tools for knowledge management
* Knowledge sharing and distribution, collaboration
* Best practices and lessons learned from case studies
* Provenance and trust in knowledge management
* FAIR data and knowledge
* Methods for accelerating take-up of knowledge management technologies
* Corporate memories for knowledge management
* Knowledge evolution, maintenance and preservation
* Incentives for human knowledge acquisition and data quality improvement (e.g. games with a purpose)
- Social and Cognitive Aspects of Knowledge Representation
* Similarity and analogy-based reasoning
* Knowledge representation inspired by cognitive science
* Synergies between humans and machines
* Knowledge emerging from user interaction and networks
* Knowledge ecosystems
* Expert finding, e.g., by social network analysis
* Collaborative and social approaches to knowledge management and acquisition
* Crowdsourcing in knowledge management
- Knowledge discovery
* Mining patterns and association rules
* Mining complex data: numbers, sequences, trees, graphs
* Formal Concept Analysis and extensions
* Numerical data mining methods and knowledge processing
* Mining the web of data for knowledge construction
* Text mining and ontology engineering
* Classification and clustering for knowledge management
* Symbolic and sub-symbolic learning machine learning
- Applications in specific domains such as:
* eGovernment and public administration
* Life sciences, health and medicine
* Humanities and Social Sciences
* Automotive and manufacturing industry
* Cultural heritage
* Digital libraries
* Geosciences
* ICT4D (Knowledge in the developing world)
TYPE OF PAPERS
===============
We will accept different types of papers. The papers will all have the same status and follow the same formatting guidelines in the proceedings but will receive special treatment during the reviewing phase. In particular, each paper type will be subject to its own evaluation criteria. The Programme Committee will also make sure that there is a reasonable balance of the paper types accepted. At submission time the paper has to be clearly identified as belonging to one of the following categories.
* Research papers: These are standard papers presenting a novel method, technique or analysis with appropriate empirical or other types of evaluation as a proof-of-concept. The main evaluation criteria here will be originality, technical soundness and validation.
* In-use papers: Here we are expecting papers describing applications of knowledge management and engineering in real environments. Applications need to address a sufficiently interesting and challenging problem on real-world datasets, involving many users, etc. The focus is less on the originality of the approach and more on presenting systems that solve a significant problem while addressing the particular challenges that come with the use of real-world data. Evaluations are essential for this type of paper and should involve a representative subset of the actual users of the system.
* Position papers: We invite researchers to also publish position papers, which describe novel and innovative ideas. Position papers may also comprise an analysis of currently unsolved problems, or review these problems from a new perspective, in order to contribute to a better understanding of these problems in the research community. We expect that such papers will guide future research by highlighting critical assumptions, motivating the difficulty of a certain problem or explaining why current techniques are not sufficient, possibly corroborated by quantitative and qualitative arguments.
IMPORTANT DATES
================
* Abstract deadline: April 23, 2020
* Submission deadline: April 30, 2020
* Notification of acceptance: June 23, 2020
* Camera-ready paper: July 2, 2020
* Conference days: September 16-20, 2020
All submission deadlines are 23:59:59 Hawaii Time.
SUBMISSIONS
============
Pre-submission of abstracts is a strict requirement. All papers and abstracts have to be submitted electronically via EasyChair<https://easychair.org/conferences/?conf=ekaw2020> (https://easychair.org/conferences/?conf=ekaw2020).
All submissions for research, in-use, and position papers must be in English, and no longer than 15 pages. Papers that exceed this limit will be rejected without review.
Submissions must be in PDF, formatted in the style of the Springer Publications format for Lecture Notes in Computer Science (LNCS). For details on the LNCS style, see Springer's Author Instructions<http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0>.
ORGANISATION
============
General Chairs
* Oliver Kutz (Free University of Bozen-Bolzano, Italy)
* Rafael Penaloza (University of Milano-Bicocca, Italy)
Program Chairs
* Michel Dumontier (Maastricht University, the Netherlands)
* Maria Keet (University of Cape Town, South Africa)
Workshop Chairs
* Anastasia Dimou (Ghent University, Belgium)
* Karl Hammar (Jonkoping University, Sweden)
Posters & Demos Chairs
* Daniel Garijo (University of Southern California, USA)
* Agnieszka Lawrynowicz (Poznan University of Technology, Poland)
Publicity Chair
* Rafael Goncalves (Stanford University, USA)
Local Committee
* Pietro Galliani (Free University of Bozen-Bolzano, Italy)
* Guendalina Righetti (Free University of Bozen-Bolzano, Italy)
* Nicolas Troquard (Free University of Bozen-Bolzano, Italy)
--Apologies for cross-posting--
This is the 1st call for systems for the SemTab 2020 Semantic Web Challenge on Tabular Data to Knowledge Graph Matching collocated with the International Semantic Web Conference: http://www.cs.ox.ac.uk/isg/challenges/sem-tab/
Tabular data to Knowledge Graph (KG) matching is the process of assigning semantic tags from Knowledge Graphs (e.g., Wikidata or DBpedia) to the elements of the table. This task however is often difficult in practice due to metadata (e.g., table and column names) being missing, incomplete or ambiguous.
This challenge aims at benchmarking systems dealing with the tabular data to KG matching problem, so as to facilitate their comparison on the same basis and the reproducibility of the results.
Challenge Tasks
----------------------
The challenge includes the following tasks organised into several evaluation rounds:
- Assigning a semantic type (e.g., a KG class) to a column: CTA task.
- Matching a cell to a KG entity: CEA task.
- Assigning a KG property to the relationship between two columns: CPA task
The challenge will be run with the support of the AICrowd platform.
Discussion group
----------------------
We have a discussion group for the challenge where we share the latest news with the participants and we discuss issues risen during the evaluation rounds:
https://groups.google.com/d/forum/sem-tab-challenge
Tentative Dates
----------------------
March 23: Round 1 opens.
April 30: Round 1 closes.
May 8: Round 2 opens.
July 7: Round 2 closes.
July 8: Best participants in Rounds 1 and 2 are invited to present their results during the ISWC conference and the Ontology Matching workshop. Check the ISWC student travel grants.
July 15: Round 3 opens.
August 31: Round 3 closes.
September 15: Round 4 opens.
October 15: Round 4 closes.
October 20: System paper submissions (preliminary version).
November 2-3: Ontology Matching workshop.
November 4-6: Challenge Presentation and prize announcement.
November 15: System paper submissions (final version).
Organisation
----------------------
This track is organised by Kavitha Srinivas (IBM Research), Ernesto Jimenez-Ruiz (City, University of Lonson; University of Oslo), Oktie Hassanzadeh (IBM Research), Jiaoyan Chen (University of Oxford) and Vasilis Efthymiou (IBM Research). If you have any problems working with the datasets or any suggestions related to this challenge, do not hesitate to contact us via the discussion group.
Acknowledgements
----------------------
The challenge is currently supported by the SIRIUS Centre for Research-driven Innovation and IBM Research.
--
Ernesto Jiménez-Ruiz
Lecturer in Artificial Intelligence
Department of Computer Science
School of Mathematics, Computer Science and Engineering
City, University of London
T: +44 (0)20 7040 0212
https://www.city.ac.uk/people/academics/ernesto-jimenez-ruiz
Hi all,
join us for our monthly Analytics/Research Office hours on 2020-03-25 at
17.00-18.00 (UTC). Bring all your research questions and ideas to discuss
projects, data, analysis, etc…
To participate, please join the IRC channel: #wikimedia-research [1].
More detailed information can be found here [2] or on the etherpad [3] if
you would like to add items to agenda or check notes from previous meetings.
Best,
Martin
[1] irc://chat.freenode.net:6667/wikimedia-research
[2] https://www.mediawiki.org/wiki/Wikimedia_Research/Office_hours
[3] https://etherpad.wikimedia.org/p/Research-Analytics-Office-hours
--
Martin Gerlach
Research Scientist
Wikimedia Foundation