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:
The Subject Recruitment Approvals Group mentioned in the proposal
is being described at:
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:
University of Minnesota
Dear Wiki Community,
My name is Mackenzie Lemieux and I am a neuroscience researcher at the Salk
Institute for Biological Studies and I am interested in exploring biases on
My research hypothesis is that gender or ethnicity mediate the rate of
flagging and deletion of pages for women in STEM. I hope to
retrospectively analyze Wikipedia's deletion history, harvest the
biographical articles about scientists that have been created over the past
n years and then confirm the gender and ethnicity of a large sample.
It appears that we can identify deleted pages with Wikipedia's deletion log
<https://en.wikipedia.org/wiki/Wikipedia:Deletion_log>, but to actually see
the page that was deleted we need to be members of one of these Wikipedia
user groups: Administrators
Does anyone have advice on how to obtain researcher status or is there
anyone willing to collaborate who has access to the data we need?
220 Gilmour Avenue
I'm hoping you & yours are all well, safe and healthy in these
unprecedented times we have all found ourselves in.
I'm writing you today with my 'educator & researcher' hat on, with a
special request to help Piotr Konieczny & I spread the word about a new
global research we are conducting.
While using Wikimedia-related assignments (Wikipedia, Commons, WikiBooks,
WikiSource, Wikidata, Wiktionary etc) in the classroom has been used all
over the world for over a decade, very little research was conducted about
what instructors who have tried it actually think about the experience.
We are hoping that answering the questions in the survey will help us
- Whether this teaching approach is effective (or not)
- What are some of the challenges experienced by instructors
- How the process could be improved
The questions are meant for any instructors running a wiki assignment,
whether it is in k-12 or higher education, formal or informal educational
setting. We are hoping the results will allow us to globally share
experiences and learn from one another, so we can make it smoother, easier
and more effective for educators joining these efforts.
It is important to note that this would be the first time (that we know
of!) that an academic research of this type has been conducted around the
world, so we really need your help in spreading the word about it in your
local communities. We're hoping that any of you, supporting such
initiatives around the world over the years, would forward it to your local
Education contacts and ask them to participate. The more instructors
participating, the better.
We realize that it would have been great to have the questionnaire in a
variety of languages, but in order for us to process the data properly and
not via third-party translations and keep the anonymity and privacy of
participants, it was decided to release the survey just in English.
Here is a link to the survey - https://tinyurl.com/yd6dfata
Thank you all in advance, and of course, if there are any questions, Piotr
& I are here.
Stay healthy & safe!
*Shani Evenstein Sigalov*
* Lecturer, Tel Aviv University.
* EdTech Innovation Strategist, NY/American Medical Program, Sackler School
of Medicine, Tel Aviv University.
* PhD Candidate, School of Education, Tel Aviv University.
* Azrieli Foundation Research Fellow.
* OER & Emerging Technologies Coordinator, UNESCO Chair
<https://education.tau.ac.il/node/3495> on Technology, Internationalization
and Education, School of Education, Tel Aviv University
* Member of the Board of Trustees
* Chairperson, The Hebrew Literature Digitization Society
* Chief Editor, Project Ben-Yehuda <http://benyehuda.org>.
Apologies for cross-posting
Due to current circumstances, the SEMANTiCS Onsite Conference 2020 had,
unfortunately, to be postponed till September 2021. To bridge the gap
until 2021, DBpedia, the Platform Linked Data Netherlands (PLDN) and
EuroSDR will organize a SEMANTiCS satellite event online, on October 6,
2020. We set up an exciting themed program around ‘Knowledge Graphs in
Action: DBpedia, Linked Geodata and Geo-information Integration’. This
new event is a combination of two already existing ones: the DBpedia
Community Meeting, which is regularly held as part of the SEMANTiCS, and
the annual Spatial Linked Data conference organised by EuroSDR and PLDN.
We fused both together and as a bonus, we added a track about
Geo-information Integration hosted by EuroSDR. For the joint opening
session, we recruited four amazing keynote speakers to kick the event off.
# Quick Facts
- Web URL:https://wiki.dbpedia.org/meetings/KnowledgeGraphsInAction
- When: October 6, 2020
- Where: The conference will take place fully online.
- Hackathon (starts 2 weeks earlier)
- Keynote by Carsten Hoyer-Klick, German Aerospace Center
- Keynote by Marinos Kavouras, National Technical University of Athens
- Keynote by Peter Mooney, Maynooth University
- Keynote by Krzysztof Janowicz, University of California
- Spatial Linked Data Country Session
- DBpedia Chapter Session
- Self Service GIS Session
- DBpedia Member Showcase Session
- Attending the conference is free. Registration is required though.
Please register here to be part of the meeting:
- Please check the schedule for the upcoming Knowledge Graphs in Action
event here: https://wiki.dbpedia.org/meetings/KnowledgeGraphsInAction
- Benedicte Bucher, University Gustave Eiffel, IGN, EuroSDR
- Erwin Folmer, Kadaster, University of Twente, Platform Linked Data
- Rob Lemmens, University of Twente
- Sebastian Hellmann, AKSW/KILT, DBpedia Association
- Julia Holze, InfAI, DBpedia Association
- Joep Crompvoets, KU Leuven
- Peter Mooney, Maynooth University
With kind regards,
The KGiA Organization Team
Hi everyone! I'm looking for some reading. I hope this is an acceptable use of this list.
Which are the core Wikipedia papers, that shaped understanding Wikipedia and Wikipedia research?
Which are the papers or other research that taught you the most unexpected things about Wikipedia and ran contrary to your preconceived notions about the encyclopedia?
M v h, Sven
We’re preparing for the July 2020 research newsletter and looking for contributors. Please take a look at https://etherpad.wikimedia.org/p/WRN202007 and add your name next to any paper you are interested in covering. Our target publication time is 2 August 15:59 UTC. If you can't make this deadline but would like to cover a particular paper in the subsequent issue, leave a note next to the paper's entry below. As usual, short notes and one-paragraph reviews are most welcome.
Highlights from this month:
- Approaches to Understanding Indigenous Content Production on Wikipedia
- Enriching Knowledge Bases with Interesting Negative Statements
- From web to SMS: A text summarization of Wikipedia pages with character limitation
- Gender Bias in Multilingual Embeddings and Cross-Lingual Transfer
- Gender, power and emotions in the collaborative production of knowledge: A large-scale analysis of Wikipedia editor conversations
- Global gender differences in Wikipedia readership
- Individual Factors that Influence Effort and Contributions on Wikipedia
- Reverting Hegemonic Ideology: Research Librarians and Information Professionals as "Critical Editors" of Wikipedia
- Tabouid: a Wikipedia-based word guessing game
- The Diffusion and Influence of Gratitude Expressions in Large-Scale Cooperation: A Field Experiment in Four Knowledge Networks
- Topological Data Analysis on Simple English Wikipedia Articles
- Towards Extending Wikipedia with Bidirectional Links
- Wiki HUEs: Understanding Wikipedia practices through Hindi, Urdu, and English takes on evolving regional conflict
- Wikipedia and Westminster: Quality and Dynamics of Wikipedia Pages about UK Politicians
- Wikipedia Citations: A comprehensive dataset of citations with identifiers extracted from English Wikipedia
- WikipediaBot: Automated Adversarial Manipulation of Wikipedia Articles
- Wikipedia's Network Bias on Controversial Topics
Masssly and Tilman Bayer
 http://meta.wikimedia.org/wiki/Research:Newsletter WikiResearch (@WikiResearch) | Twitter
*** Apologies for cross-posting ***
COLING 2020 Third Workshop on NLP for Internet Freedom (NLP4IF):
Censorship, Disinformation, and Propaganda
First Call for Papers
Workshop website: http://www.netcopia.net/nlp4if/
Co-located with COLING 2020, Barcelona, Spain
Accepted papers will be published in the COLING 2020 NLP4IF Workshop
* Submission deadline: September 1, 2020 (23:59 PM Pacific Standard Time)
* Notification of acceptance: October 1, 2020
* Camera-ready papers due: October 20, 2020
* Workshop: December 12, 2020
NLP4IF (http://www.netcopia.net/nlp4if/) is dedicated to NLP methods that
potentially contribute or hamper the free flow of information on the
Internet, their impact, and to our understanding of the issues that arise
in this area. We hope that our workshop will have a transformative impact
on society by getting closer to achieving Internet freedom in countries
where accessing and sharing of information are controlled by any forms of
We invite submissions of up to nine (9) pages maximum, plus bibliography
for long papers and four (4) pages, plus bibliography, for short papers.
For full submission guidelines, please refer to the workshop homepage. The
topics of interest include (but are not limited to) the following:
Censorship detection: detecting deleted or edited text; detecting
blocked keywords/banned terms;
Censorship circumvention techniques: linguistically inspired
countermeasures for Internet censorship such as keyword substitution,
expanding coverage of existing banned terms, text paraphrasing,
steganography, generating information morphs etc.;
Detection of self-censorship;
Identifying potentially censorable content;
Techniques to empirically measure Internet censorship across
Investigations on covert linguistic communication and its limits;
Dis-/Misinformation detection: fake/false/impostor news, fake
accounts, rumor detection, etc.;
Identification of propaganda at different granularity levels: text
fragment, document, and full website;
(Comparative) analysis of the language of propagandistic and biased
Automatic generation of persuasive content;
Tools to facilitate the flagging, either automatic or manual, of
propaganda and bias in social media;
Automatic detection of coordinated propaganda campaigns such as the
use of social bots, botnets, and water armies;
Analysis of diffusion and consumption of propagandistic,
hyperpartisan, and extremely biased content in social media;
Automatic debiasing of news content;
Other relevant topics include ( but not limited to)
Identification of hate speech and offensive language;
Identity and private information detection;
Passive and targeted surveillance techniques;
Ethics in NLP;
“Walled gardens”, personalization and fragmentation of the online
Submission page: https://www.softconf.com/coling2020/NLP4IF/
Formatting requirements: https://coling2020.org/coling2020.zip
*Giovanni Luca Ciampaglia* ∙ glciampaglia.com
Computer Science and Engineering
<https://www.usf.edu/engineering/cse/> ∙ University
of South Florida <https://www.usf.edu/>
*Due to Florida’s broad open records law, email to or from university
employees is public record, available to the public and the media upon