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
Dear All,
I didn't send this earlier because it isn't strictly Wiki related, but
seeing other recent posts to the list I wanted to share as I think many
people here would be good candidates. If you are interested by unable to
send a CV by the deadline, please just tell me.
We're hiring a Research Fellow at Meedan, a non-profit working with
journalists and human-rights defenders to build technology, execute
programmes, and conduct research.
The main project will be quantitative research analysing communication
dynamics in large datasets from messaging platforms. We have messaging app
data already collected for the project from tip lines operated by media
partners and webscraping.
This position is available remotely or in Oxford, UK, or San Francisco,
USA.
Further details are at:
https://meedan.com/jobs/research-fellow/
Please apply by 27 March 2020 and feel free to direct any questions to me.
Best wishes,
Scott
--
Dr Scott A. Hale
Senior Research Fellow, University of Oxford
Director of Research, Meedan
Turing Fellow, Alan Turing Institute
http://scott.hale.us/
scott(a)meedan.com
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
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Should you no longer wish to receive news from the MPIDR, please click
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Unsubscribe from MPIDR news distribution list and kindly name the
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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
Max Planck Institute for Demographic Research
Human Ressources
Konrad-Zuse-Str. 1
D-18057 Rostock
Germany
http://www.demogr.mpg.de
----------
This mail has been sent through the MPI for Demographic Research.
Should you receive a mail that is apparently from a MPI user without
this text displayed, then the address has most likely been faked. If
you are uncertain about the validity of this message, please check the
mail header or ask your system administrator for assistance.
The February 2020 issue of the Wikimedia Research Newsletter is out:
https://meta.wikimedia.org/wiki/Research:Newsletter/2020/February
In this issue:
1 How much would one need to pay readers to give up Wikipedia? $50 billion/year in the US alone.2 Briefly3 Other recent publications3.1 "Keeping Community in the Loop: Understanding Wikipedia Stakeholder Values for Machine Learning-Based Systems"3.2 Despite content saturation, "the activities of editors are still improving with time"3.3 "Individual and collaborative information behaviour of Wikipedians in the context of their involvement with Hebrew Wikipedia"3.4 "Knowledge curation work in Wikidata WikiProject discussions"3.5 "Building Knowledge Graphs: Processing Infrastructure and Named Entity Linking"3.6 "A deep learning-based quality assessment model of collaboratively edited documents: A case study of Wikipedia"3.7 "Wikipedia: Why is the common knowledge resource still neglected by academics?"3.8 "Finding Synonymous Attributes in Evolving Wikipedia Infoboxes"3.9 "Weakly Supervised Multilingual Causality Extraction from Wikipedia"3.10 "Temporal Analysis of Entity Relatedness and its Evolution using Wikipedia and DBpedia"3.11 Some of the editors contributing information about the circadian sleep cycle don't have one
*** 12 recent publications were covered or listed in this issue ***
Masssly and Tilman Bayer
---
Wikimedia Research Newsletter
https://meta.wikimedia.org/wiki/Research:Newsletter/
* Follow us on Twitter: @WikiResearch
* Like us on Facebook: Facebook.com/WikiResearch/
* Receive this newsletter by mail: Research-newsletter Mailing List - Wikimedia
Hi folks,
I am conducting a project on the value of using celebrity names in newspaper headlines. I am seeking your help to see if it is possible to get historical page view data for biographies between he years 2013 to 2015. I’ve been experimenting with this legacy API that looked promising: https://wikimedia.org/api/rest_v1/#/Pageviews%20data/get_metrics_pageviews_… <https://wikimedia.org/api/rest_v1/#/Pageviews data/get_metrics_pageviews_per_article__project___access___agent___article___granularity___start___end_> However, I receive the error “the date(s) you used are valid, but we either do not have data for those date(s), or the project you asked for is not loaded yet” whenever I execute a search for a biography for dates preceding summer 2015. I get the same message for searching for something like “Brad Pitt” as for “Isaac Newton.” Does anyone know of any way to get this page view information? I would be very grateful, and do let me know if you need more information from me.
Thank you,
Marianne
(Cornell Phd Student in Information Science)
Hi all,
Forwarding this along in case of interest, hope everyone is well.
The WikiCred initiative is offering microgrants ranging between from $250
to $10,000 to individuals and teams for pilot projects on how to support
credibility on the internet using Wikimedia and lessons from the Wikimedia
community. We are open to teams with proven records of working in the open
knowledge movement as well as newcomers with new and fresh ideas.
Researchers, Wikimedians, credibility enthusiasts and members of the open
knowledge community can get involved in the credibility movement by
applying for a grant and prototyping their software and research ideas with
the help of the community. Applications are accepted on a rolling basis.
The first deadline to receive funding is April 6th.
https://www.wikicred.org/
--
connie moon sehat
connieimdialog(a)gmail.com
https://linkedin.com/in/connieatwork
PGP Key ID: 0x95DFB60E
Hi all,
The next Research Showcase will be live-streamed on Wednesday, March 18, at
9:30 AM PDT/16:30 UTC. We’ll have a presentation on topic modeling by
Jordan Boyd-Graber. A question-and-answer session will follow.
YouTube stream: https://www.youtube.com/watch?v=fiD9QTHNVVM
As usual, you can join the conversation on IRC at #wikimedia-research. You
can also watch our past research showcases here:
https://www.mediawiki.org/wiki/Wikimedia_Research/Showcase
This month's presentation:
Big Data Analysis with Topic Models: Evaluation, Interaction, and
Multilingual Extensions
By: Jordan Boyd-Graber, University of Maryland
A common information need is to understand large, unstructured datasets:
millions of e-mails during e-discovery, a decade worth of science
correspondence, or a day's tweets. In the last decade, topic models have
become a common tool for navigating such datasets even across languages.
This talk investigates the foundational research that allows successful
tools for these data exploration tasks: how to know when you have an
effective model of the dataset; how to correct bad models; how to measure
topic model effectiveness; and how to detect framing and spin using these
techniques. After introducing topic models, I argue why traditional
measures of topic model quality---borrowed from machine learning---are
inconsistent with how topic models are actually used. In response, I
describe interactive topic modeling, a technique that enables users to
impart their insights and preferences to models in a principled,
interactive way. I will then address measuring topic model effectiveness in
real-world tasks.
Overview of topic models:
https://mimno.infosci.cornell.edu/papers/2017_fntir_tm_applications.pdf
Topic model evaluation: http://umiacs.umd.edu/~jbg//docs/nips2009-rtl.pdf
Interactive topic modeling:
http://umiacs.umd.edu/~jbg//docs/2014_mlj_itm.pdf
Topic Models for Categorization:
http://users.umiacs.umd.edu/~jbg//docs/2016_acl_doclabel.pdf
--
Janna Layton (she, her)
Administrative Assistant - Product & Technology
Wikimedia Foundation <https://wikimediafoundation.org/>
Hi all,
I’m writing to ask for feedback and endorsements on a WMF project grant proposal focused on developing support structures for academics editing Wikipedia. The proposal is at https://meta.wikimedia.org/wiki/Grants:Project/NCTE/CCCC_Wikipedia_Initiati….
Thanks in advance to those of you who can find a few minutes to consider the proposal, share ideas to improve it on the talk page, and possibly add your endorsement!
All my best,
Melanie
<>–<>–<>–<>–<>–<>–<>–<>–<>
Dr. Melanie Kill (she / her)
Assistant Professor of English
Coordinator of the Rhetoric Minor
University of Maryland
Chair, CCCC Wikipedia Initiative <https://cccc.ncte.org/cccc/wikipedia-initiative/>
INTERNATIONAL JOURNAL ON NATURAL LANGUAGE COMPUTING (IJNLC)
ISSN: 2278 - 1307 [ONLINE]; 2319 - 4111 [PRINT]
HTTP://AIRCCSE.ORG/JOURNAL/IJNLC/INDEX.HTML [1]
SCOPE & TOPICS
Natural Language Processing is a programmed approach to analyze text
that is based on both a set of theories and a set of technologies. This
forum aims to bring together researchers who have designed and build
software that will analyze, understand, and generate languages that
humans use naturally to address computers.
TOPICS OF INTEREST INCLUDE BUT ARE NOT LIMITED TO, THE FOLLOWING
* Phonology, Morphology
* Chunking/Shallow Parsing
* Parsing/Grammatical Formalisms
* Semantic Processing
* Lexical Semantics
* Ontology
* Linguistic Resources
* Statistical and Knowledge based methods
* POS tagging
* Discourse
* Paraphrasing/Entailment/Generation
* Machine Translation
* Information Retrieval
* Text Mining
* Information Extraction
* Question Answering
* Dialog Systems
* Spoken Language Processing
* Speech Recognition and Synthesis
PAPER SUBMISSION
Authors are invited to submit papers for this journal through E-mail:
IJNLCJOURNAL(a)AIRCCSE.ORG. SUBMISSIONS [2] must be original and should
not have been published previously or be under consideration for
publication while being evaluated for this Journal.
IMPORTANT DATES
* SUBMISSION DEADLINE : MARCH 14, 2020
* Notification : April 14, 2020
* Final Manuscript Due : April 22, 2020
* Publication Date : Determined by the Editor-in-Chief
For other details please visit
HTTP://AIRCCSE.ORG/JOURNAL/IJNLC/INDEX.HTML
CONTACT US
Here's where you can reach us: IJNLCJOURNAL(a)AIRCCSE.ORG
SUBMISSION LINK: HTTP://CONECO2009.COM/SUBMISSIONS/IMAGINATION/HOME.HTML
[2]
GOOGLE SCHOLAR CITATION
HTTPS://SCHOLAR.GOOGLE.COM/CITATIONS?USER=A5TQIDOAAAAJ&HL=EN [3]
All Since 2015
Citations 829 758
h-index 14 14
i10-index 24 21
Links:
------
[1] http://airccse.org/journal/ijnlc/index.html
[2] http://coneco2009.com/submissions/imagination/home.html
[3] https://scholar.google.com/citations?user=A5tqIdoAAAAJ&hl=en