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:
http://en.wikipedia.org/wiki/Wikipedia:Research
The Subject Recruitment Approvals Group mentioned in the proposal
is being described at:
http://en.wikipedia.org/wiki/Wikipedia:Subject_Recruitment_Approvals_Group
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:
http://en.wikipedia.org/wiki/Wikipedia:WikiProject_Research
--
Bryan Song
GroupLens Research
University of Minnesota
Hi all,
Join the Research Team at the Wikimedia Foundation [1] for their monthly
Office hours this Tuesday, 2022-04-05. Find your local time here
<https://zonestamp.toolforge.org/1649199600>.
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 are welcome to add questions / items to the etherpad in advance,
or when you arrive at the session. Even if you are unable to attend the
session, you can leave a question that we can address asynchronously. If
you do not have a specific agenda item, you are welcome to hang out and
enjoy the conversation. More detailed information (e.g., about how to
attend) can be found here [4].
Through these office hours, we aim to make ourselves available to answer
research related questions that you as Wikimedia volunteer editors,
organizers, affiliates, staff, and researchers face in your projects and
initiatives. Here are some example cases we hope to be able to support you
with:
-
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].
To improve the impact and accessibility of our sessions, we invite you to
share your feedback in a brief optional survey [6]. We estimate that it
will take about 5-10 minutes to complete. We welcome your input even if you
have not attended Office Hours. If you prefer to not respond via Google
form, you can provide your feedback via email. We will accept responses
until April 15, 2022.
Hope to see many of you,
Emily on behalf of the WMF Research Team
[1] https://research.wikimedia.org
[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
[6] https://forms.gle/Y5zJ7gunk4RvqvJX8
--
Emily Lescak (she / her)
Senior Research Community Officer
The Wikimedia Foundation
Dear all,
We are proud to announce that we will organize an online tutorial at the
Web Conference on April 25, 2022 at 10.45 am CEST. A particular focus
will be put on the DBpedia Infrastructure, i.e. the DBpedia Databus and
the associated DBpedia services (Spotlight, Lookup and the endpoints).
The tutorial will also contain a session dedicated on DBpedia’s current
motto, i.e. Global and Unified Access to Knowledge Graphs. In practical
examples we will illustrate the potential and the benefit of using
DBpedia in the context of the Web of Data.
# Highlights
This DBpedia tutorial will be focused on three core DBpedia topics:
- the DBpedia Knowledge Graph and the DBpedia community,
- the DBpedia Infrastructure and the DBpedia services,
- the current motto of DBpedia: “Global and Unified Access to Knowledge
Graphs.
# Quick Facts
- Web URL: https://www.dbpedia.org/events/tut-at-the-web-conf/
- When: April 25, 2022 at 10.45 am CEST
- Where: The tutorial will be organized online.
# Tickets
- Please register at the Web Conference website to be part of the
tutorial. You need to buy a conference ticket to join the event.
- Please check all details here
https://www2022.thewebconf.org/registration/.
# Organisation
- Milan Dojčinovski, InfAI, DBpedia Association, CTU
- Sebastian Hellmann, InfAI, DBpedia Association
- Jan Forberg, InfAI, DBpedia Association
- Johannes Frey, InfAI, DBpedia Association
- Julia Holze, InfAI, DBpedia Association
We are looking forward to meeting you online!
Julia
on behalf of the DBpedia Association
Hello everyone!
We are currently organising a workshop with the title “Wiki-M3L: Wikipedia
and Multi-Modal & Multi-Lingual Research” at ICLR [1], in which we bring
together research working on topics around Wikipedia, with a focus on
multilingual projects as well as multi-modality (e.g., text and images). In
this workshop, we want to foster collaboration between researchers and the
Wikimedia community, so we allocated a session for researchers to exchange
with Wikimedians. Therefore we are looking for participants, who are
interested in joining us at ICLR for the workshop and would like to
exchange with and answer some questions of researchers working on
Wikipedia. The workshop will happen virtually on 29th of April 2022, and
the session would take around 30 minutes from 14:15 CET. Please reach out
to us if you are interested in participating!
Cheers,
Lucie and Tiziano
[1] https://meta.wikimedia.org/wiki/Wiki-M3L
--
Lucie-Aimée Kaffee
Hi all,
The WMF Privacy and Machine Learning Platform teams are developing model
cards to increase visibility, transparency, and accountability of
algorithmic decision-making on WMF platforms. The broad goal is for every
ML model hosted by WMF to have a model card for the community and public to
understand, discuss, and govern that model.
We would love for you to give some feedback on the talk page of our
prototype:
https://meta.wikimedia.org/wiki/User:HTriedman_(WMF)/Language_Agnostic_Link…
Thanks so much!
Hal
Hello!
tl;dr: all publicly available event streams at stream.wikimedia.org will
have their retention time set to 7 days.
Many of the streams available at stream.wikimedia.org have retention times
of 31 days. This means that at any given time, the past 31 days of these
streams are consumable.
Sometimes, within these streams, certain data may accidentally contain
personally identifiable information. For example, someone might
accidentally enter their personal email into a revision comment field. On
the wikis, this information can be quickly suppressed so that it is not
viewable externally. However, because streams are historical and immutable,
it is difficult to remove this information from the stream history.
To help mitigate the risk of PII exposure, we are reducing the retention of
these streams to 7 days. We plan to make this change on *Monday April 4th
2022*.
In the future, we would like to intentionally remove this data from
streams. Doing so requires us to maintain new services that produce new
streams with PII information redacted. Doing this is not a trivial thing to
stand up, hence this mitigation effort for now.
-Andrew Otto
Wikimedia Foundation
Liebe Studierende,
das Alexander von Humboldt Institut für Internet und Gesellschaft (HIIG)
sucht tatkräftige Unterstützung im Management und in verschiedenen
Forschungsbereichen. Werdet Teil unseres Teams im Herzen Berlins und
erforscht mit uns die Entwicklung des Internets aus gesellschaftlicher
Perspektive.
Wir suchen eine*n Studentische*n Mitarbeiter*in (m/w/d) für unsere
Wissenschaftskommunikation
und Öffentlichkeitsarbeit. Wenn du fit im redaktionellen Texten bist und es
liebst, wissenschaftlichen Inhalten eine neue und spannende Verpackung zu
geben, ist dieser Job perfekt für dich!
Link: https://www.hiig.de/studi-ausschreibung-offentlichkeitsarbeit/
Wir suchen eine*n Studentische*n Mitarbeiter*in (m/w/d) in unserem
Projekt “Organisationale
Adaptivität im deutschen Hochschulkontext” (OrA). Hier arbeitest du an der
Schnittstelle von Digitalisierung und Hochschulbildung, mit Fokus auf Lehr-
und Lerninnovationen.
Link: https://www.hiig.de/studentische-mitarbeit-im-project-ora/
Wir suchen eine*n Studentische*n Mitarbeiter*in (m/w/d) im Bereich
Netzwerk, Wissenschaftskommunikation und Forschung. Du möchtest ein
internationales Forschungsprojekt zu globaler digitaler Transformation und
Nachhaltigkeit unterstützen und hast Interesse an der Entwicklung von
Formaten zwischen Wissenschaft und Praxis?
Link:
https://www.hiig.de/studentischen-mitarbeiterin-m-w-d-im-bereich-netzwerk-w…
Viele Grüße,
Carina Breschke
--
[image: HIIG-Logo] <http://www.hiig.de/>
Alexander von Humboldt Institute for Internet and Society
Französische Straße 9 · 10117 Berlin · Germany
T +49 30 200 760 82 · F +49 30 206 089 60 · www.hiig.de · [image:
Facebook-Button] <http://www.facebook.com/HIIG.Berlin> [image:
Twitter-Button] <https://twitter.com/hiig_berlin> [image: Google+1-Button]
<https://plus.google.com/u/0/104662709701524780855>
Gesellschaftssitz Berlin | Amtsgericht Berlin Charlottenburg | HRB
140911B | Steuer-ID 27/601/54619
Forschungsdirektorium: Prof. Dr. Jeanette Hofmann (Geschäftsführung) ·
Prof. Dr. Dr. Ingolf Pernice (Geschäftsführung) · Prof. Dr. Dr. Thomas
Schildhauer · Prof. Dr. Wolfgang Schulz | Geschäftsführung: Dr. Karina
Preiß
--
Alexander von Humboldt Institut für Internet und Gesellschaft gGmbH
Französische Straße 9 · 10117 Berlin
T +49 30 200 760 82 · F +49 30 206
089 60 · www.hiig.de <http://www.hiig.de> · Twitter
<https://twitter.com/hiig_berlin> · Instagram
<https://www.instagram.com/hiigberlin/> · Facebook
<https://www.facebook.com/HIIG.Berlin>
Gesellschaftssitz Berlin |
Amtsgericht Berlin Charlottenburg | HRB 140911B | USt-ID DE 291 151 171
Forschungsdirektorium: Prof. Dr. Jeanette Hofmann (Geschäftsführung) ·
Prof. Dr. Björn Scheuermann · Prof. Dr. Dr. Thomas Schildhauer · Prof. Dr.
Wolfgang Schulz | Geschäftsführung: Dr. Karina Preiß
Hi all,
The next Research Showcase will be live-streamed Wednesday, March 16 at
6:30AM PT / 13:30 UTC. Find your local time here:
https://zonestamp.toolforge.org/1647437436.
The theme is: Patterns and dynamics of article quality.
YouTube stream: https://www.youtube.com/watch?v=o5e6S7ac4q4
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.
The Showcase will feature the following talks:
Quality monitoring in Wikipedia - A computational perspectiveBy *Animesh
Mukherjee <https://cse.iitkgp.ac.in/~animeshm/> (Indian Institute of
Technology, Kharagpur)*In this talk, I shall summarize our five-year long
research highlights concerning Wikipedia. In particular, I shall deep dive
into two of our recent works; while the first one attempts to understand
the early indications of which editors would soon go "missing" (aka missing
editors) [1], the second one investigates how the quality of a Wikipedia
article transitions over time and whether computational models could be
built to understand the characteristics of future transitions [2]. In each
case, I will present a suite of key results and the main insights that we
obtained thereof.[1] When expertise gone missing: Uncovering the loss of
prolific contributors in Wikipedia
<https://link.springer.com/chapter/10.1007/978-3-030-91669-5_23>, ICADL
2021 (pdf <https://arxiv.org/pdf/2109.09979>)[2] Quality Change: norm or
exception? Measurement, Analysis and Detection of Quality Change in
Wikipedia <https://arxiv.org/abs/2111.01496>, CSCW 2022 (pdf
<https://arxiv.org/pdf/2111.01496>)
Automatically Labeling Low Quality Content on Wikipedia by Leveraging
Editing BehaviorsBy *Sumit Asthana <http://sumitasthana.xyz/> (University
of Michigan, Ann Arbor)*Wikipedia articles aim to be definitive sources of
encyclopedic content. Yet, only 0.6% of Wikipedia articles have high
quality according to its quality scale due to insufficient number of
Wikipedia editors and enormous number of articles. Supervised Machine
Learning (ML) quality improvement approaches that can automatically
identify and fix content issues rely on manual labels of individual
Wikipedia sentence quality. However, current labeling approaches are
tedious and produce noisy labels. In this talk, I will discuss an automated
labeling approach that identifies the semantic category (e.g., adding
citations, clarifications) of historic Wikipedia edits and uses the
modified sentences prior to the edit as examples that require that semantic
improvement. Highest-rated article sentences are examples that no longer
need semantic improvements. I will discuss the performance of models
training with this labeling approach over models trained with existing
labeling approaches, and also the implications of such a large scale semi
supervised labeling approach in capturing the editing practices of
Wikipedia editors and helping them improve articles faster.Related
paper: Automatically
Labeling Low Quality Content on Wikipedia By Leveraging Patterns in Editing
Behaviors <https://dl.acm.org/doi/10.1145/3479503>, CSCW 2021 (pdf
<https://arxiv.org/pdf/2108.02252>)
--
Emily Lescak (she / her)
Senior Research Community Officer
The Wikimedia Foundation
Dear friends,
The Education team[1] at the Wikimedia Foundation is happy to share a
survey aiming to investigate academic faculty’s perceptions of Wikipedia in
Higher Education. You are kindly invited to participate in this survey. We
appreciate your participation. And you are also very welcome to share this
survey with your networks.
The goal of this survey is (1) to retrieve a demographic observation about
the academic faculty’s perception of Wikipedia in Higher Education, (2) to
understand the factors that contribute to the perception of the academic
faculty towards Wikipedia, and (3) with the findings analyzed, develop
supportive programming.
Please click the link below to participate in this survey.
Survey for Academic Faculty
<https://wikimedia.qualtrics.com/jfe/form/SV_8BN5Dwp8sl1bkIm>
You can find the link to the privacy statement below.
Legal:Faculty and Affiliates Perception of Wikipedia in Higher Education
Privacy Statement - Wikimedia Foundation Governance Wiki
<https://foundation.wikimedia.org/wiki/Legal:Faculty_and_Affiliates_Percepti…>
If you have any questions about this survey, please contact
flin-ctr(a)wikimedia.org
Thank you so much.
Best regards.
Fu-Ying (on behalf of the Education team)
[1] Education - Meta (wikimedia.org)
<https://meta.wikimedia.org/wiki/Education>
--
Fu-Ying Lin
Wikimedia Foundation | Graduate Education Fellow
flin-ctr(a)wikimedia.org
user: Flin (WMF)