[Wiki-research-l] [CFP] Workshop on Knowledge Graphs and LLMs (KaLLM) at ACL 2024

[Lucie Kaffee]

Dear Wikimedia researchers,

Many of you already work in the field of LLMs and Knowledge Graphs (e.g.,
Wikidata). We would therefore like to share the first call for papers of:

The 1st Workshop on Knowledge Graphs and Large Language Models (KaLLM), to
be held on August 15, 2024, co-located with ACL 2024, Bangkok, Thailand.

First Call for Participation

Submission Deadline: May 10, 2024 at 23:59, UTC -12h, AoE

Website: https://kallmworkshop.github.io/kallm2024/

Contact email: kallmworkshop2...@googlegroups.com

The workshop intends to provide a platform for researchers, practitioners,
and industry professionals to explore the synergies between LLMs and KGs.
We aim to provide a space for the LLM community and the community of KG
researchers to interact and explore how these two communities could
collaborate and support one another.

Important Dates

Submission Starts: Feb 05, 2024

Submission Deadline: May 10, 2024

Author Notifications: June 17, 2024

Camera-Ready Deadline: July 1, 2024

Workshop Date: August 15, 2024

Submission Guidelines:

Papers must be submitted in PDF format using the official ACL template.
More details are available on the website.

Scope of the workshop:

KaLLM invites quality research contributions as short or long papers and
resource papers. All submissions will undergo a double-blind review
process, and accepted submissions will be presented at the workshop.

The submissions should focus on the interaction between LLMs and KGs in the
context of NLP. The workshop will cover a diverse range of topics related
to the integration of LLMs and KGs, including but not limited to:

   -

   Knowledge-enhanced language generation
   -

   KG-based question answering using LLMs
   -

   Fact validation and bias mitigation
   -

   KG creation and completion using LLMs
   -

   Privacy considerations in LLM-KG integration
   -

   Interpretability and explainability
   -

   Cross-domain applications
   -

   KG-based text summarisation with LLMs
   -

   Ethical implications of LLM-KG technologies
   -

   Multimodality of KGs and LLMs
   -

   Multilingual LLMs for KGs and vice-versa

We look forward to receiving your submissions and having your valuable
contribution to the success of the workshop. If you have any questions or
require further information, please do not hesitate to contact us at
kallmworkshop2...@googlegroups.com or visit
https://kallmworkshop.github.io/kallm2024/.


*Organising Committee*

Russa Biswas, Hasso Plattner Institut

Lucie-Aimée Kaffee, Hasso Plattner Institut

Oshin Agarwal, Bloomberg

Pasquale Minervini, University of Edinburg

Sameer Singh, University of California

Gerard de Melo, Hasso Plattner Institut

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[Wiki-research-l] [Extended Deadline] Wikidata Workshop

[Lucie Kaffee]

Extended deadline! Papers are due on Thursday, 27 July 2023


The Fourth Wikidata Workshop

Call for Papers

Co-located with the 22nd International Conference on Semantic Web (ISWC
2023).

Date: November 7, 2023

In Athens, Greece (in-person event)

The format of the workshop will be announced soon

Website: https://wikidataworkshop.github.io/2023/

== Important dates ==

Papers due: Thursday, 27 July 2023 (Extended!)

Notification of accepted papers: Thursday, September 31, 2023

Camera-ready papers due: Thursday, September 7, 2023

Workshop date: November 07, 2023

== Overview ==

Wikidata is an openly available knowledge base hosted by the Wikimedia
Foundation. It can be accessed and edited by both humans and machines and
acts as a common structured data repository for several Wikimedia projects,
including Wikipedia, Wiktionary, and Wikisource. It is used in a variety of
applications by researchers and practitioners alike.

In recent years, we have seen an increase in the number of publications
around Wikidata. While there are several dedicated venues for the broader
Wikidata community to meet, none of them focuses on publishing original,
peer-reviewed research. This workshop fills this gap - we hope to provide a
forum to build this fledgling scientific community and promote novel work
and resources that support it.

The workshop primarily seeks original contributions that address the
opportunities and challenges of creating, contributing to, and using a
global, collaborative, open-domain, multilingual knowledge graph such as
Wikidata.

We encourage a range of submissions, including novel research, opinion
pieces, and descriptions of systems and resources which are naturally
linked to Wikidata and its ecosystem or enabled by it. What we are less
interested in are works that use Wikidata alongside or in lieu of other
resources to carry out some computational task - unless the work feeds back
into the Wikidata ecosystem, for instance, by improving or commenting on
some Wikidata aspect, or suggesting new design features, tools, and
practices.

This year, we again added a track for already published work. To foster
conversations around the topic of Wikidata, we invite authors of papers
published at other conferences to submit their papers to present at the
workshop. These will not be included in the proceedings but gives a chance
for authors to interact with the community.

We welcome interdisciplinary work, as well as interesting applications that
shed light on the benefits of Wikidata and discuss areas of improvement.

The workshop is planned as an interactive half-day event, in which most of
the time will be dedicated to discussions and exchanges rather than oral
presentations. For this reason, all accepted papers will be presented in
short talks and accompanied by a poster.


== Topics ==

Topics of submissions include, but are not limited to:

- Data quality and vandalism detection in Wikidata

- Referencing in Wikidata

- Anomaly, bias, or novelty detection in Wikidata

- Algorithms for aligning Wikidata with other knowledge graphs

- The Semantic Web and Wikidata

- Community interaction in Wikidata

- Multilingual aspects of Wikidata

- Using LLM with Wikidata

- Innovative uses of AI and NLP applications for Wikidata

- Machine learning approaches to improve data quality in Wikidata

- Tools, bots, and datasets for improving or evaluating Wikidata

- Participation, diversity, and inclusivity aspects in the Wikidata
ecosystem

- Human-bot interaction

- Managing knowledge evolution in Wikidata

- Abstract Wikipedia


== Submission guidelines ==

We welcome the following types of contributions.

= Track 1: Novel Works =

The papers in this track will be peer-reviewed by at least three
researchers using a single-blind review process. Accepted papers will be
published as open-access papers on CEUR (authors can also waive this). We
invite the following types of papers:

- Full research paper: Novel research contributions (7-12 pages)

- Short research paper: Novel research contributions of smaller scope than
full papers (3-6 pages)

- Position paper: Well-argued ideas and opinion pieces, not yet in the
scope of a research contribution (6-8 pages)

- Resource paper: New dataset or other resources directly relevant to
Wikidata, including the publication of that resource (8-12 pages)

- Demo paper: New system critically enabled by Wikidata (6-8 pages)

Submissions must be as PDF or HTML, 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.


Papers have to be submitted through OpenReview(Please add “[NOVEL]” at the
beginning of the title on the submission page so we know that you are
submitting to this track):

https://openreview.net/group?id=swsa.semanticweb.org/ISWC/2023/Workshop/Wikidata


= Track 2: Published works =

This track welcomes papers previously published at a peer-reviewed 

[Wiki-research-l] [CfP] The Fourth Wikidata Workshop @ ISWC

[Lucie Kaffee]

We are very excited that we will conduct the fourth Wikidata workshop this
year and would be very happy to see a lot of submissions from the Wikimedia
research community! Please see the call for papers below!

The Fourth Wikidata Workshop
Call for Papers

Co-located with the 22nd International Conference on Semantic Web (ISWC
2023).
Date: November 6 or 7, 2023
The format of the workshop will be announced soon

Website: https://wikidataworkshop.github.io/2023/

== Important dates ==

Papers due: Thursday, 20 July 2023
Notification of accepted papers: Thursday, September 31, 2023
Camera-ready papers due: Thursday, September 7, 2023
Workshop date: November 06/07, 2023


== Overview ==

Wikidata is an openly available knowledge base hosted by the Wikimedia
Foundation. It can be accessed and edited by both humans and machines and
acts as a common structured data repository for several Wikimedia projects,
including Wikipedia, Wiktionary, and Wikisource. It is used in a variety of
applications by researchers and practitioners alike.

In recent years, we have seen an increase in the number of publications
around Wikidata. While there are several dedicated venues for the broader
Wikidata community to meet, none of them focuses on publishing original,
peer-reviewed research. This workshop fills this gap - we hope to provide a
forum to build this fledgling scientific community and promote novel work
and resources that support it.

The workshop primarily seeks original contributions that address the
opportunities and challenges of creating, contributing to, and using a
global, collaborative, open-domain, multilingual knowledge graph such as
Wikidata.

We encourage a range of submissions, including novel research, opinion
pieces, and descriptions of systems and resources which are naturally
linked to Wikidata and its ecosystem or enabled by it. What we are less
interested in are works that use Wikidata alongside or in lieu of other
resources to carry out some computational task - unless the work feeds back
into the Wikidata ecosystem, for instance, by improving or commenting on
some Wikidata aspect, or suggesting new design features, tools, and
practices.

This year, we again added a track for already published work. To foster
conversations around the topic of Wikidata, we invite authors of papers
published at other conferences to submit their papers to present at the
workshop. These will not be included in the proceedings but gives a chance
for authors to interact with the community.

We welcome interdisciplinary work, as well as interesting applications that
shed light on the benefits of Wikidata and discuss areas of improvement.

The workshop is planned as an interactive half-day event, in which most of
the time will be dedicated to discussions and exchanges rather than oral
presentations. For this reason, all accepted papers will be presented in
short talks and accompanied by a poster.



== Topics ==

Topics of submissions include, but are not limited to:

- Data quality and vandalism detection in Wikidata
- Referencing in Wikidata
- Anomaly, bias, or novelty detection in Wikidata
- Algorithms for aligning Wikidata with other knowledge graphs
- The Semantic Web and Wikidata
- Community interaction in Wikidata
- Multilingual aspects of Wikidata
- Using LLM with Wikidata
- Innovative uses of AI and NLP applications for Wikidata
- Machine learning approaches to improve data quality in Wikidata
- Tools, bots, and datasets for improving or evaluating Wikidata
- Participation, diversity, and inclusivity aspects in the Wikidata
ecosystem
- Human-bot interaction
- Managing knowledge evolution in Wikidata
- Abstract Wikipedia


== Submission guidelines ==

We welcome the following types of contributions.

= Track 1: Novel Works =

The papers in this track will be peer-reviewed by at least three
researchers using a single-blind review process. Accepted papers will be
published as open-access papers on CEUR (authors can also waive this). We
invite the following types of papers:

- Full research paper: Novel research contributions (7-12 pages)
- Short research paper: Novel research contributions of smaller scope than
full papers (3-6 pages)
- Position paper: Well-argued ideas and opinion pieces, not yet in the
scope of a research contribution (6-8 pages)
- Resource paper: New dataset or other resources directly relevant to
Wikidata, including the publication of that resource (8-12 pages)
- Demo paper: New system critically enabled by Wikidata (6-8 pages)

Submissions must be as PDF or HTML, 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.


Papers have to be submitted through OpenReview(Please add “[NOVEL]” at the
beginning of the title on the submission page so we know that you are
submitting to this track):
https://openreview.net/group?id=swsa.semanticweb.org/ISWC/2023/Workshop/Wikidata


= Track 2: 

[Wiki-research-l] Call for Papers: Semantic Web Journal Special Issue on Wikidata: Construction, Evaluation and Applications

[Lucie Kaffee]

The deadline for the Semantic Web Journal Special Issue on Wikidata was
extended to 14.02. More information can be found here:
https://www.semantic-web-journal.net/blog/call-papers-special-issue-wikidata-construction-evaluation-and-applications

We are looking forward to your contributions! The full call for papers is
below.


Call for papers: Semantic Web Journal Special Issue on
Wikidata: Construction, Evaluation and Applications

Wikidata is an openly available knowledge base, hosted by the Wikimedia
Foundation. It can be accessed and edited by both humans and machines and
acts as a common structured-data repository for several Wikimedia projects,
including Wikipedia, Wiktionary, and Wikisource. It is used in a variety of
semantic web applications by researchers and practitioners alike.

In recent years, we have seen an increase in the number of publications
around Wikidata. While there are several dedicated venues for the broader
Wikidata community to meet, none of them focuses on publishing
comprehensive, peer-reviewed research. This special issue fills this gap -
we hope to provide a forum to build this fledgling scientific community and
promote novel work and resources that support it.

The special issue seeks original contributions and extended conference
papers that address the opportunities and challenges of creating,
contributing to, and using the global, collaborative, open-domain,
multilingual knowledge graph Wikidata.
Topics

Topics of submissions include, but are not limited to:

   - Data quality and vandalism detection in Wikidata
   - Referencing in Wikidata
   - Anomaly, bias, or novelty detection in Wikidata
   - Algorithms for aligning Wikidata with other structured or
   semi-structured resources
   - Representation, Semantic Annotation, Enhancement and Enrichments using
   Wikidata
   - Semantic Parsing and Question Answering using Wikidata
   - The Semantic Web and Wikidata
   - Community interaction in Wikidata
   - Multilingual data in Wikidata and its reuse
   - Data quality in Wikidata: Approaches for problem detection, evaluation
   and improvement
   - Tools, bots, and datasets for improving or evaluating Wikidata
   - Participation, diversity, and inclusivity aspects in the Wikidata
   ecosystem
   - Human-bot interaction
   - Managing knowledge evolution in Wikidata
   - Abstract Wikipedia
   - Wikidata in NLP applications

Deadline

   - Submission deadline: 14 February 2023 (extended!). Papers submitted
   before the deadline will be reviewed upon receipt.

Author Guidelines

Submissions shall be made through the Semantic Web journal website at
http://www.semantic-web-journal.net. Prospective authors must take notice
of the submission guidelines posted at
http://www.semantic-web-journal.net/authors.

We welcome four main types of submissions: (i) full research papers, (ii)
reports on tools and systems, (iii) dataset descriptions, and (iv) survey
articles. The description of submission types is posted at
http://www.semantic-web-journal.net/authors#types. While there is no upper
limit, paper length must be justified by content.

Note that you need to request an account on the website for submitting a
paper. Please indicate in the cover letter that it is for the "Wikidata"
special issue. All manuscripts will be reviewed based on the SWJ open and
transparent review policy and will be made available online during the
review process.

Also note that the Semantic Web journal is open access
.

Finally please note that submissions must comply with the journal’s Open
Science Data requirements, which are detailed in the corresponding blog post

.
Guest editors

The guest editors can be reached at wikidata-...@googlegroups.com .

Lucie-Aimée Kaffee, University of Copenhagen, lucie.kaf...@gmail.com
Simon Razniewski, Max Planck Institute for Informatics,
srazn...@mpi-inf.mpg.de
Pavlos Vougiouklis, Huawei Technologies, pavlos.vougiouk...@huawei.com
Guest editorial board

to be expanded

Fariz Darari, University of Indonesia
Houcemeddine Turki, University of Sfax, Tunisia
Alasdair Gray, Heriot-Watt University, Edinburgh, UK
Seyed Amir Hosseini Beghaeiraveri,Heriot-Watt University, Edinburgh, UK
Daniel Garijo, UPM
Nikos Papasarantopoulos, Huawei Technologies

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[Wiki-research-l] [CfP] The Third Wikidata Workshop: Second Call for Papers

[Lucie Kaffee]

The Third Wikidata Workshop

Second Call for Papers

Co-located with the 21st International Conference on Semantic Web (ISWC
2022).

Date: October 23 or 24, 2022

The workshop will be held online, afternoon European time.

Website: https://wikidataworkshop.github.io/2022/

== Important dates ==

Papers due: Friday, 29 July 2022

Notification of accepted papers: Friday, September 23, 2022

Camera-ready papers due: Monday, October 3, 2022

Workshop date: October 23/24, 2022

== Overview ==

Wikidata is an openly available knowledge base, hosted by the Wikimedia
Foundation. It can be accessed and edited by both humans and machines and
acts as a common structured-data repository for several Wikimedia projects,
including Wikipedia, Wiktionary, and Wikisource. It is used in a variety of
applications by researchers and practitioners alike.

In recent years, we have seen an increase in the number of publications
around Wikidata. While there are several dedicated venues for the broader
Wikidata community to meet, none of them focuses on publishing original,
peer-reviewed research. This workshop fills this gap - we hope to provide a
forum to build this fledgling scientific community and promote novel work
and resources that support it.

The workshop primarily seeks original contributions that address the
opportunities and challenges of creating, contributing to, and using a
global, collaborative, open-domain, multilingual knowledge graph such as
Wikidata.

We encourage a range of submissions, including novel research, opinion
pieces, and descriptions of systems and resources, which are naturally
linked to Wikidata and its ecosystem or enabled by it. What we are less
interested in are works that use Wikidata alongside or in lieu of other
resources to carry out some computational task - unless the work feeds back
into the Wikidata ecosystem, for instance by improving or commenting on
some Wikidata aspect, or suggesting new design features, tools, and
practices.

This year, we also added a track for already published work. To foster
conversations around the topic of Wikidata, we invite authors of papers
published at other conferences to submit their papers to present at the
workshop. These will not be included in the proceedings but gives a chance
for authors to interact with the community.

We welcome interdisciplinary work, as well as interesting applications that
shed light on the benefits of Wikidata and discuss areas of improvement.

The workshop is planned as an interactive half-day event, in which most of
the time will be dedicated to discussions and exchange rather than oral
presentations. For this reason, all accepted papers will be presented in
short talks and accompanied by a poster. All works will be presented
online.

== Topics ==

Topics of submissions include, but are not limited to:

- Data quality and vandalism detection in Wikidata

- Referencing in Wikidata

- Anomaly, bias, or novelty detection in Wikidata

- Algorithms for aligning Wikidata with other knowledge graphs

- The Semantic Web and Wikidata

- Community interaction in Wikidata

- Multilingual aspects in Wikidata

- Machine learning approaches to improve data quality in Wikidata

- Tools, bots, and datasets for improving or evaluating Wikidata

- Participation, diversity, and inclusivity aspects in the Wikidata
ecosystem

- Human-bot interaction

- Managing knowledge evolution in Wikidata

- Abstract Wikipedia

== Submission guidelines ==

We welcome the following types of contributions.

= Track 1: Novel Works =

The papers in this track will be peer-reviewed by at least three
researchers. Accepted papers will be published as open access papers on
CEUR (authors can also waive this). We invite the following types of papers:

- Full research paper: Novel research contributions (7-12 pages)

- Short research paper: Novel research contributions of smaller scope than
full papers (3-6 pages)

- Position paper: Well-argued ideas and opinion pieces, not yet in the
scope of a research contribution (6-8 pages)

- Resource paper: New dataset or other resources directly relevant to
Wikidata, including the publication of that resource (8-12 pages)

- Demo paper: New system critically enabled by Wikidata (6-8 pages)

Submissions must be as PDF or HTML, 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.


Papers have to be submitted through easychair (Please add “[NOVEL]” in the
beginning of the title on the submission page so we know that you are
submitting to this track):
https://easychair.org/my/conference?conf=wikidataworkshop2022


= Track 2: Published works =

This track welcomes papers previously published at a peer-reviewed research
venue, to be presented and discussed in the workshop. They do not have to
follow the formatting and page limit instructions from Track 1, and can
instead be submitted in the original format.

[Wiki-research-l] [CfP] The Third Wikidata Workshop

[Lucie Kaffee]

The Third Wikidata Workshop

Call for Papers

Co-located with the 21st International Conference on Semantic Web (ISWC
2022).

Date: October 23 or 24, 2022

The workshop will be held online, afternoon European time.

Website: https://wikidataworkshop.github.io/2022/

== Important dates ==

Papers due: *Friday, *29 July 2022

Notification of accepted papers: Friday, September 23, 2022

Camera-ready papers due: Monday, October 3, 2022

Workshop date: October 23/24, 2022

== Overview ==

Wikidata is an openly available knowledge base, hosted by the Wikimedia
Foundation. It can be accessed and edited by both humans and machines and
acts as a common structured-data repository for several Wikimedia projects,
including Wikipedia, Wiktionary, and Wikisource. It is used in a variety of
applications by researchers and practitioners alike.

In recent years, we have seen an increase in the number of publications
around Wikidata. While there are several dedicated venues for the broader
Wikidata community to meet, none of them focuses on publishing original,
peer-reviewed research. This workshop fills this gap - we hope to provide a
forum to build this fledgling scientific community and promote novel work
and resources that support it.

The workshop primarily seeks original contributions that address the
opportunities and challenges of creating, contributing to, and using a
global, collaborative, open-domain, multilingual knowledge graph such as
Wikidata.

We encourage a range of submissions, including novel research, opinion
pieces, and descriptions of systems and resources, which are naturally
linked to Wikidata and its ecosystem or enabled by it. What we are less
interested in are works that use Wikidata alongside or in lieu of other
resources to carry out some computational task - unless the work feeds back
into the Wikidata ecosystem, for instance by improving or commenting on
some Wikidata aspect, or suggesting new design features, tools, and
practices.

This year, we also added a track for already published work. To foster
conversations around the topic of Wikidata, we invite authors of papers
published at other conferences to submit their papers to present at the
workshop. These will not be included in the proceedings but gives a chance
for authors to interact with the community.

We welcome interdisciplinary work, as well as interesting applications that
shed light on the benefits of Wikidata and discuss areas of improvement.

The workshop is planned as an interactive half-day event, in which most of
the time will be dedicated to discussions and exchange rather than oral
presentations. For this reason, all accepted papers will be presented in
short talks and accompanied by a poster. All works will be presented
online.

== Topics ==

Topics of submissions include, but are not limited to:

- Data quality and vandalism detection in Wikidata

- Referencing in Wikidata

- Anomaly, bias, or novelty detection in Wikidata

- Algorithms for aligning Wikidata with other knowledge graphs

- The Semantic Web and Wikidata

- Community interaction in Wikidata

- Multilingual aspects in Wikidata

- Machine learning approaches to improve data quality in Wikidata

- Tools, bots, and datasets for improving or evaluating Wikidata

- Participation, diversity, and inclusivity aspects in the Wikidata
ecosystem

- Human-bot interaction

- Managing knowledge evolution in Wikidata

- Abstract Wikipedia

== Submission guidelines ==

We welcome the following types of contributions.

= Track 1: Novel Works =

The papers in this track will be peer-reviewed by at least three
researchers. Accepted papers will be published as open access papers on
CEUR (authors can also waive this). We invite the following types of papers:

- Full research paper: Novel research contributions (7-12 pages)

- Short research paper: Novel research contributions of smaller scope than
full papers (3-6 pages)

- Position paper: Well-argued ideas and opinion pieces, not yet in the
scope of a research contribution (6-8 pages)

- Resource paper: New dataset or other resources directly relevant to
Wikidata, including the publication of that resource (8-12 pages)

- Demo paper: New system critically enabled by Wikidata (6-8 pages)

Submissions must be as PDF or HTML, 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.


Papers have to be submitted through easychair (Please add “[NOVEL]” in the
beginning of the title on the submission page so we know that you are
submitting to this track):
https://easychair.org/my/conference?conf=wikidataworkshop2022


= Track 2: Published works =

This track welcomes papers previously published at a peer-reviewed research
venue, to be presented and discussed in the workshop. They do not have to
follow the formatting and page limit instructions from Track 1, and can
instead be submitted in the original format.

[Wiki-research-l] Call for participants: Survey on potential misuse of NLP research

[Lucie Kaffee]

Hello everyone,

We at CopeNLU and the Digital Democracies Institute are currently running
an online survey on the potential harms and misuses of Natural Language
Processing technologies and research. We, therefore, ask researchers in the
field of natural language processing to fill the following survey to give
us an insight into their concerms.

We would really appreciate it if you could take a few minutes to fill out
the survey.
The survey takes about 20 minutes to complete and is available here:
copenlu.limesurvey.net/987789

Thank you!
Lucie-Aimée Kaffee, Arnav Arora, Zeerak Talat

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[Wiki-research-l] Call for participation of Wikipedians for “Ask a Wikipedian” Session

[Lucie Kaffee]

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

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[Wiki-research-l] [CfP] Extended Deadline: Wikidata Workshop 2021

[Lucie Kaffee]

Hi everyone,

We extended the deadline for submissions to the Wikidata Workshop to
*August 6*. We are very much looking forward to your contributions. Please
find more information below.

===
The Second Wikidata Workshop

Co-located with the 20th International Conference on Semantic Web (ISWC
2021).
Date: October 24 or 25, 2021
The workshop will be held online, afternoon European time.

Website: https://wikidataworkshop.github.io/2021/

== Important dates ==

Papers due:  Friday, August 6, 2021 (EXTENDED)
Notification of accepted papers: Friday, September 24, 2021
Camera-ready papers due: Monday, October 4, 2021
Workshop date: October 24/25, 2021

== Overview ==

Wikidata is an openly available knowledge base, hosted by the Wikimedia
Foundation. It can be accessed and edited by both humans and machines and
acts as a common structured-data repository for several Wikimedia projects,
including Wikipedia, Wiktionary, and Wikisource. It is used in a variety of
applications by researchers and practitioners alike.

In recent years, we have seen an increase in the number of publications
around Wikidata. While there are several dedicated venues for the broader
Wikidata community to meet, none of them focuses on publishing original,
peer-reviewed research. This workshop fills this gap - we hope to provide a
forum to build this fledgling scientific community and promote novel work
and resources that support it.

The workshop seeks original contributions that address the opportunities
and challenges of creating, contributing to, and using a global,
collaborative, open-domain, multilingual knowledge graph such as Wikidata.

We encourage a range of submissions, including novel research, opinion
pieces, and descriptions of systems and resources, which are naturally
linked to Wikidata and its ecosystem or enabled by it. What we’re less
interested in are works that use Wikidata alongside or in lieu of other
resources to carry out some computational task - unless the work feeds back
into the Wikidata ecosystem, for instance by improving or commenting on
some Wikidata aspect, or suggesting new design features, tools, and
practices.

We also encourage submissions on the topic of Abstract Wikipedia,
particularly around collaborative code management, natural language
generation by a community, the abstract representation of knowledge, and
the interaction between Abstract Wikipedia and Wikidata on the one, and
Abstract Wikipedia and the language Wikipedias on the other side.

We welcome interdisciplinary work, as well as interesting applications that
shed light on the benefits of Wikidata and discuss areas of improvement.

The workshop is planned as an interactive half-day event, in which most of
the time will be dedicated to discussions and exchange rather than oral
presentations. For this reason, all accepted papers will be presented in
short talks and accompanied by a poster. All works will be presented
online.

== Topics ==

Topics of submissions include, but are not limited to:

- Data quality and vandalism detection in Wikidata
- Referencing in Wikidata
- Anomaly, bias, or novelty detection in Wikidata
- Algorithms for aligning Wikidata with other knowledge graphs
- The Semantic Web and Wikidata
- Community interaction in Wikidata
- Multilingual aspects in Wikidata
- Machine learning approaches to improve data quality in Wikidata
- Tools, bots, and datasets for improving or evaluating Wikidata
- Participation, diversity, and inclusivity aspects in the Wikidata
ecosystem
- Human-bot interaction
- Managing knowledge evolution in Wikidata
- Abstract Wikipedia

== Submission guidelines ==

We welcome the following types of contributions.

- Full research paper: Novel research contributions (7-12 pages)
- Short research paper: Novel research contributions of smaller scope than
full papers (3-6 pages)
- Position paper: Well-argued ideas and opinion pieces, not yet in the
scope of a research contribution (6-8 pages)
- Resource paper: New dataset or other resources directly relevant to
Wikidata, including the publication of that resource (8-12 pages)
- Demo paper: New system critically enabled by Wikidata (6-8 pages)

Submissions must be as PDF or HTML, 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.

The papers will be peer-reviewed by at least three researchers. Accepted
papers will be published as open access papers on CEUR (we will only
publish to CEUR if the authors agree to have their papers published).

Papers have to be submitted through easychair:
https://easychair.org/conferences/?conf=wikidata21

== Proceedings ==

The complete set of papers will be published with the CEUR Workshop
Proceedings (CEUR-WS.org).

== Organizing committee ==
Lucie-Aimée Kaffee, University of Southampton, lucie.kaffee[[@]]gmail.com
Simon Razniewski, Max Planck Institute for Informatics, srazniew[[@]]
mpi-inf.mpg.de

[Wiki-research-l] [CfP] Wikidata Workshop 2021: Second Call for Papers

[Lucie Kaffee]

Please find the second call for papers for the Wikidata workshop below. I
am looking forward to reading your work related to Wikidata and seeing some
of you there!

The Second Wikidata Workshop

Co-located with the 20th International Conference on Semantic Web (ISWC
2021).

Date: October 24 or 25, 2021

The workshop will be held online, afternoon European time.

Website: https://wikidataworkshop.github.io/2021/

== Important dates ==

Papers due:  Friday, July 30, 2021

Notification of accepted papers: Friday, September 24, 2021

Camera-ready papers due: Monday, October 4, 2021

Workshop date: October 24/25, 2021

== Overview ==

Wikidata is an openly available knowledge base, hosted by the Wikimedia
Foundation. It can be accessed and edited by both humans and machines and
acts as a common structured-data repository for several Wikimedia projects,
including Wikipedia, Wiktionary, and Wikisource. It is used in a variety of
applications by researchers and practitioners alike.

In recent years, we have seen an increase in the number of publications
around Wikidata. While there are several dedicated venues for the broader
Wikidata community to meet, none of them focuses on publishing original,
peer-reviewed research. This workshop fills this gap - we hope to provide a
forum to build this fledgling scientific community and promote novel work
and resources that support it.

The workshop seeks original contributions that address the opportunities
and challenges of creating, contributing to, and using a global,
collaborative, open-domain, multilingual knowledge graph such as Wikidata.

We encourage a range of submissions, including novel research, opinion
pieces, and descriptions of systems and resources, which are naturally
linked to Wikidata and its ecosystem or enabled by it. What we’re less
interested in are works that use Wikidata alongside or in lieu of other
resources to carry out some computational task - unless the work feeds back
into the Wikidata ecosystem, for instance by improving or commenting on
some Wikidata aspect, or suggesting new design features, tools, and
practices.

We also encourage submissions on the topic of Abstract Wikipedia,
particularly around collaborative code management, natural language
generation by a community, the abstract representation of knowledge, and
the interaction between Abstract Wikipedia and Wikidata on the one, and
Abstract Wikipedia and the language Wikipedias on the other side.

We welcome interdisciplinary work, as well as interesting applications that
shed light on the benefits of Wikidata and discuss areas of improvement.

The workshop is planned as an interactive half-day event, in which most of
the time will be dedicated to discussions and exchange rather than oral
presentations. For this reason, all accepted papers will be presented in
short talks and accompanied by a poster. All works will be presented
online.

== Topics ==

Topics of submissions include, but are not limited to:

- Data quality and vandalism detection in Wikidata

- Referencing in Wikidata

- Anomaly, bias, or novelty detection in Wikidata

- Algorithms for aligning Wikidata with other knowledge graphs

- The Semantic Web and Wikidata

- Community interaction in Wikidata

- Multilingual aspects in Wikidata

- Machine learning approaches to improve data quality in Wikidata

- Tools, bots, and datasets for improving or evaluating Wikidata

- Participation, diversity, and inclusivity aspects in the Wikidata
ecosystem

- Human-bot interaction

- Managing knowledge evolution in Wikidata

- Abstract Wikipedia

== Submission guidelines ==

We welcome the following types of contributions.

- Full research paper: Novel research contributions (7-12 pages)

- Short research paper: Novel research contributions of smaller scope than
full papers (3-6 pages)

- Position paper: Well-argued ideas and opinion pieces, not yet in the
scope of a research contribution (6-8 pages)

- Resource paper: New dataset or other resources directly relevant to
Wikidata, including the publication of that resource (8-12 pages)

- Demo paper: New system critically enabled by Wikidata (6-8 pages)

Submissions must be as PDF or HTML, 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.

The papers will be peer-reviewed by at least three researchers. Accepted
papers will be published as open access papers on CEUR (we will only
publish to CEUR if the authors agree to have their papers published).

Papers have to be submitted through easychair:
https://easychair.org/conferences/?conf=wikidata21

== Proceedings ==

The complete set of papers will be published with the CEUR Workshop
Proceedings (CEUR-WS.org).

== Organizing committee ==

Lucie-Aimée Kaffee, University of Southampton, lucie.kaffee[[@]]gmail.com

Simon Razniewski, Max Planck Institute for Informatics, srazniew[[@]]
mpi-inf.mpg.de

Aidan Hogan, 

[Wiki-research-l] [CfP] Wikidata Workshop 2021

[Lucie Kaffee]

*The Second Wikidata Workshop*

Co-located with the 20th International Conference on Semantic Web (ISWC
2021).
Date: October 24 or 25, 2021
The workshop will be held online, afternoon European time.

Website: https://wikidataworkshop.github.io/2021/

== Important dates ==

Papers due:  Friday, July 30, 2021
Notification of accepted papers: Friday, September 24, 2021
Camera-ready papers due: Monday, October 4, 2021
Workshop date: October 24/25, 2021

== Overview ==

Wikidata is an openly available knowledge base, hosted by the Wikimedia
Foundation. It can be accessed and edited by both humans and machines and
acts as a common structured-data repository for several Wikimedia projects,
including Wikipedia, Wiktionary, and Wikisource. It is used in a variety of
applications by researchers and practitioners alike.

In recent years, we have seen an increase in the number of publications
around Wikidata. While there are several dedicated venues for the broader
Wikidata community to meet, none of them focuses on publishing original,
peer-reviewed research. This workshop fills this gap - we hope to provide a
forum to build this fledgling scientific community and promote novel work
and resources that support it.

The workshop seeks original contributions that address the opportunities
and challenges of creating, contributing to, and using a global,
collaborative, open-domain, multilingual knowledge graph such as Wikidata.

We encourage a range of submissions, including novel research, opinion
pieces, and descriptions of systems and resources, which are naturally
linked to Wikidata and its ecosystem, or enabled by it. What we’re less
interested in are works which use Wikidata alongside or in lieu of other
resources to carry out some computational task - unless the work feeds back
into the Wikidata ecosystem, for instance by improving or commenting on
some Wikidata aspect, or suggesting new design features, tools and
practices.

We also encourage submissions on the topic of Abstract Wikipedia,
particularly around collaborative code management, natural language
generation by a community, the abstract representation of knowledge, and
the interaction between Abstract Wikipedia and Wikidata on the one, and
Abstract Wikipedia and the language Wikipedias on the other side.

We welcome interdisciplinary work, as well as interesting applications that
shed light on the benefits of Wikidata and discuss areas of improvement.

The workshop is planned as an interactive half-day event, in which most of
the time will be dedicated to discussions and exchange rather than oral
presentations. For this reason, all accepted papers will be presented in
short talks and accompanied by a poster. All works will be presented
online.

== Topics ==

Topics of submissions include, but are not limited to:

- Data quality and vandalism detection in Wikidata
- Referencing in Wikidata
- Anomaly, bias, or novelty detection in Wikidata
- Algorithms for aligning Wikidata with other knowledge graphs
- The Semantic Web and Wikidata
- Community interaction in Wikidata
- Multilingual aspects in Wikidata
- Machine learning approaches to improve data quality in Wikidata
- Tools, bots and datasets for improving or evaluating Wikidata
- Participation, diversity and inclusivity aspects in the Wikidata ecosystem
- Human-bot interaction
- Managing knowledge evolution in Wikidata
- Abstract Wikipedia

== Submission guidelines ==

We welcome the following types of contributions.

- Full research paper: Novel research contributions (7-12 pages)
- Short research paper: Novel research contributions of smaller scope than
full papers (3-6 pages)
- Position paper: Well-argued ideas and opinion pieces, not yet in the
scope of a research contribution (6-8 pages)
- Resource paper: New dataset or other resources directly relevant to
Wikidata, including the publication of that resource (8-12 pages)
- Demo paper: New system critically enabled by Wikidata (6-8 pages)

Submissions must be as PDF or HTML, 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.

The papers will be peer-reviewed by at least three researchers. Accepted
papers will be published as open access papers on CEUR (we will only
publish to CEUR if the authors agree to have their papers published).

Papers have to be submitted through easychair:
https://easychair.org/conferences/?conf=wikidataworkshop21

== Proceedings ==

The complete set of papers will be published with the CEUR Workshop
Proceedings (CEUR-WS.org).

== Organizing committee ==
Lucie-Aimée Kaffee, University of Southampton, lucie.kaffee[[@]]gmail.com
Simon Razniewski, Max Planck Institute for Informatics, srazniew[[@]]
mpi-inf.mpg.de
Aidan Hogan, University of Chile, ahogan[[@]]dcc.uchile.cl

== Programme committee ==

Miriam Redi, Wikimedia Foundation
John Samuel, CPE Lyon
Dennis Diefenbach, University Jean Monet
Lydia Pintscher, 

[Wiki-research-l] Wikidata Workshop: Second Call for Papers

[Lucie Kaffee]

*The First Wikidata Workshop*

Co-located with the 19th International Conference on Semantic Web (ISWC
2020).
Date: October 29, 2020
The workshop will be held online, afternoon European time.

Website: https://wikidataworkshop.github.io/

== Important dates ==

Papers due: August 10, 2020
Notification of accepted papers: September 11, 2020
Camera-ready papers due: September 21, 2020
Workshop date: October 29, 2020

== Overview ==

Wikidata is an openly available knowledge base, hosted by the Wikimedia
Foundation. It can be accessed and edited by both humans and machines and
acts as a common structured-data repository for several Wikimedia projects,
including Wikipedia, Wiktionary, and Wikisource. It is used in a variety of
applications by researchers and practitioners alike.
In recent years, we have seen an increase in the number of publications
around Wikidata. While there are several dedicated venues for the broader
Wikidata community to meet, none of them focuses on publishing original,
peer-reviewed research. This workshop fills this gap - we hope to provide a
forum to build this fledgling scientific community and promote novel work
and resources that support it.
The workshop seeks original contributions that address the opportunities
and challenges of creating, contributing to, and using a global,
collaborative, open-domain, multilingual knowledge graph such as Wikidata.
We encourage a range of submissions, including novel research, opinion
pieces, and descriptions of systems and resources, which are naturally
linked to Wikidata and its ecosystem, or enabled by it. What we’re less
interested in are works which use Wikidata alongside or in lieu of other
resources to carry out some computational task - unless the work feeds back
into the Wikidata ecosystem, for instance by improving or commenting on
some Wikidata aspect, or suggesting new design features, tools and
practices.
We also encourage submissions on the topic of Abstract Wikipedia,
particularly around collaborative code management, natural language
generation by a community, the abstract representation of knowledge, and
the interaction between Abstract Wikipedia and Wikidata on the one, and
Abstract Wikipedia and the language Wikipedias on the other side.
We welcome interdisciplinary work, as well as interesting applications
which shed light on the benefits of Wikidata and discuss areas of
improvement.
The workshop is planned as an interactive half-day event, in which most of
the time will be dedicated to discussions and exchange rather than frontal
presentations. For this reason, all accepted papers will be presented in
short talks and accompanied by a poster. We are considering online options
in response to ongoing challenges such as travel restrictions and the
recent Covid-19 pandemic.

== Topics ==

Topics of submissions include, but are not limited to:

- Data quality and vandalism detection in Wikidata
- Referencing in Wikidata
- Anomaly, bias, or novelty detection in Wikidata
- Algorithms for aligning Wikidata with other knowledge graphs
- The Semantic Web and Wikidata
- Community interaction in Wikidata
- Multilingual aspects in Wikidata
- Machine learning approaches to improve data quality in Wikidata
- Tools, bots and datasets for improving or evaluating Wikidata
- Participation, diversity and inclusivity aspects in the Wikidata ecosystem
- Human-bot interaction
- Managing knowledge evolution in Wikidata
- Abstract Wikipedia

== Submission guidelines ==

We welcome the following types of contributions:
- Full research paper: Novel research contributions (7-12 pages)
- Short research paper: Novel research contributions of smaller scope than
full papers (3-6 pages)
- Position paper: Well-argued ideas and opinion pieces, not yet in the
scope of a research contribution (6-8 pages)
- Resource paper: New dataset or other resource directly relevant to
Wikidata, including the publication of that resource (8-12 pages)
- Demo paper: New system critically enabled by Wikidata (6-8 pages)

Submissions must be as PDF or HTML, 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.
The papers will be peer-reviewed by at least two researchers. Accepted
papers will be published as open access papers on CEUR (we only publish to
CEUR if the authors agree to have their papers published).

Papers have to be submitted through easychair:
https://easychair.org/conferences/?conf=wikidataworkshop2020

== Proceedings ==

The complete set of papers will be published with the CEUR Workshop
Proceedings (CEUR-WS.org).

== Organizing committee ==

- Lucie-Aimée Kaffee, University of Southampton
- Oana Tifrea-Marciuska, Bloomberg
- Elena Simperl, King’s College London
- Denny Vrandečić, Wikimedia Foundation

== Programme committee ==

- Dan Brickley, Google
- Andrew D. Gordon, Microsoft Research & University of Edinburgh
- Dennis Diefenbach, University 

[Wiki-research-l] [CfP] Wikidata Workshop @ ISWC 2020

[Lucie Kaffee]

*The First Wikidata Workshop*

Co-located with the 19th International Conference on Semantic Web (ISWC
2020).
Date: To be announced (late October, early November)
The workshop will be held online, afternoon European time.

Website: https://wikidataworkshop.github.io/

== Important dates ==

Papers due: August 10, 2020
Notification of accepted papers: September 11, 2020
Camera-ready papers due: September 21, 2020
Workshop date: To be announced (end October/early November)

== Overview ==

Wikidata is an openly available knowledge base, hosted by the Wikimedia
Foundation. It can be accessed and edited by both humans and machines and
acts as a common structured-data repository for several Wikimedia projects,
including Wikipedia, Wiktionary, and Wikisource. It is used in a variety of
applications by researchers and practitioners alike.
In recent years, we have seen an increase in the number of publications
around Wikidata. While there are several dedicated venues for the broader
Wikidata community to meet, none of them focuses on publishing original,
peer-reviewed research. This workshop fills this gap - we hope to provide a
forum to build this fledgling scientific community and promote novel work
and resources that support it.
The workshop seeks original contributions that address the opportunities
and challenges of creating, contributing to, and using a global,
collaborative, open-domain, multilingual knowledge graph such as Wikidata.
We encourage a range of submissions, including novel research, opinion
pieces, and descriptions of systems and resources, which are naturally
linked to Wikidata and its ecosystem, or enabled by it. What we’re less
interested in are works which use Wikidata alongside or in lieu of other
resources to carry out some computational task - unless the work feeds back
into the Wikidata ecosystem, for instance by improving or commenting on
some Wikidata aspect, or suggesting new design features, tools and
practices.
We welcome interdisciplinary work, as well as interesting applications
which shed light on the benefits of Wikidata and discuss areas of
improvement.
The workshop is planned as an interactive half-day event, in which most of
the time will be dedicated to discussions and exchange rather than frontal
presentations. For this reason, all accepted papers will be presented in
short talks and accompanied by a poster. We are considering online options
in response to ongoing challenges such as travel restrictions and the
recent Covid-19 pandemic.
== Topics ==

Topics of submissions include, but are not limited to:

- Data quality and vandalism detection in Wikidata
- Referencing in Wikidata
- Anomaly, bias, or novelty detection in Wikidata
- Algorithms for aligning Wikidata with other knowledge graphs
- The Semantic Web and Wikidata
- Community interaction in Wikidata
- Multilingual aspects in Wikidata
- Machine learning approaches to improve data quality in Wikidata
- Tools, bots and datasets for improving or evaluating Wikidata
- Participation, diversity and inclusivity aspects in the Wikidata ecosystem
- Human-bot interaction
- Managing knowledge evolution in Wikidata

== Submission guidelines ==

We welcome the following types of contributions.

- Full research paper: Novel research contributions (7-12 pages)
- Short research paper: Novel research contributions of smaller scope than
full papers (3-6 pages)
- Position paper: Well-argued ideas and opinion pieces, not yet in the
scope of a research contribution (6-8 pages)
- Resource paper: New dataset or other resource directly relevant to
Wikidata, including the publication of that resource (8-12 pages)
- Demo paper: New system critically enabled by Wikidata (6-8 pages)

Submissions must be as PDF or HTML, 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.
The papers will be peer-reviewed by at least two researchers. Accepted
papers will be published as open access papers on CEUR (we only publish to
CEUR if the authors agree to have their papers published).

Papers have to be submitted through easychair:
https://easychair.org/conferences/?conf=wikidataworkshop2020

== Proceedings ==

The complete set of papers will be published with the CEUR Workshop
Proceedings (CEUR-WS.org).

== Organizing committee ==

- Lucie-Aimée Kaffee, University of Southampton
- Oana Tifrea-Marciuska, Bloomberg
- Elena Simperl, King’s College London
- Denny Vrandečić, Google AI

== Programme committee ==

- Lydia Pintscher, Wikidata, Wikimedia Deutschland
- Maria-Esther Vidal, TIB Hannover
- Miriam Redi, Wikimedia Foundation
- Edgar Meij, Bloomberg
- Simon Razniewski, Max Planck Institute for Informatics
- Alessandro Piscopo, BBC
- Pavlos Vougiouklis, Huawei Technologies, Edinburgh
- Marco Ponza, University of Pisa
- Markus Krötzsch, Technische Universität Dresden
- Andrew D. Gordon, Microsoft Research & University of Edinburgh
- 

[Wiki-research-l] Research and Wikipedia/Wikimedia event in London, 08. February

[Lucie Kaffee]

Hello everyone!

We are organizing an event for Research and Wikimedia to exchange about
research done in the field and for researchers and Wikimedia community
members to work together on new ideas. The idea derived from the fact that
many researchers reusing Wikipedia, Wikidata and their sister projects
often are not yet integrated with the community. This makes their work a
lot more difficult than necessary. At the same time, many research projects
are useful for the community, but not yet integrated into Wikipedia and co.
We want to change this and facilitate the exchange between researchers and
Wikimedia community members in an event, where we bring people interested
in similar topics together. If you are either doing research in the
Wikipedia space or are a community member of one of the Wikimedia projects,
please come by on the 8th of February. More details below.
Please spread the event invitation in your communities!

Best,
Lucie

https://www.eventbrite.com/e/research-and-wikimedia-tickets-90824421289

*Description*
We are organizing an event for Wikimedians and researchers to exchange!
Come along and learn more about research happening around Wikimedia and
what Wikimedians can teach you about the different Wikimedia projects!
A large part of the computer science research community is exploring
Wikipedia, Wikidata and their sister projects. In the fields of natural
language processing (NLP) as well as semantic web, Wikipedia and Wikidata
are often used as a fundamental part of the research world. At the same
time, the community of Wikidata and Wikipedia could make use of a variety
of tools developed by researchers. However, currently, the gap between
things explored in research and actual applications in Wikidata and
Wikipedia needs bridging. Therefore, we want to build a community of
Wikidata community members and research to exchange needs, existing tools,
open challenges and research question to foster an environment, where both
communities can benefit from the exchange.
The ideal is to have all the different approaches and commonalities under
one umbrella to foster exchange and support of different research
communities and their approaches.
OpenSym and the WikiWorkshop are already doing that for the people
submitting to and attending computer science research conferences. But
without the exchange with the community, there is a lack of communication,
creating silos of missing exchange.

*The Goal is*
to connect the researcher and the Wikimedia community to enable an exchange
that could ultimately lead to the research projects being implemented as
tools for Wikipedia. And vice-versa: More research projects build on
community needs.

*We invite*
*Researchers*
Anyone who does or is planning to do research on or around Wikimedia
projects, such as Wikipedia, Wikidata and others.
*Wikimedians*
Anyone in the community, who is interested in improving the research
happening around Wikimedia - you don’t need any experience in research.
Wikipedia editor, Wikidata data magician, whatever you do in Wikimedia
projects, your feedback will be highly valuable.

*What we need from you*
We would ask all researchers to bring an A2/A3 poster about what they are
doing in Wikimedia that we can put up so that we can create an easy way to
exchange on different projects. If you don’t have a project yet, don’t
worry- just bring a poster with topics you find interesting, and you might
be able to meet other researchers already working in your field of
interest. (If you struggle with printing the poster beforehand, please
reach out to us a few days in advance.)

*Event*
We will spend a day exchanging on recent challenges around Wikimedia.
Besides the posters, we aim to form working groups for the afternoon to
work on topics of shared interest and possibly propose a project of common
interest.

-- 
Lucie-Aimée Kaffee
___
Wiki-research-l mailing list
Wiki-research-l@lists.wikimedia.org
https://lists.wikimedia.org/mailman/listinfo/wiki-research-l

Re: [Wiki-research-l] Generalizability of research across different language versions

[Lucie Kaffee]

Just adding a small point I saw while interviewing editors of different
language Wikipedias: I believe (and haven't further investigated, so take
this with a grain of salt) that there is also a general difference in the
behavior of "small" and "large" communities, e.g., in trust between the
editors and how they work together. This seemed to be independent of other
cultural context, but this is rather anecdotal and would be interesting to
see further investigated.
I find it generally a very interesting topic and look forward to what
results from the discussion here, so far I see research only applying their
methods across Wikipedias rather than drawing conclusion from one language
version to another.
Thanks Isaac also for the collection of reading material :)

On Thu, Oct 3, 2019, 16:23 Amir E. Aharoni 
wrote:

> Thanks a lot for bringing this up.
>
> Sorry for not offering a solution, but I do want to mention a
> frequently-missed aspect of the problem: Wikis in different languages have
> some differences that are understandable because they reflect some
> objective cultural characteristics of the people who speak it. But some
> differences are artificial and exit because in the early days of Wikimedia
> (mid-2000s) there were no convenient ways for wikis to communicate and
> share info. There were no global accounts and no convenient translation
> tools.
>
> Templates are still not global, even though there is huge demand for it,[1]
> and a lot of community process are implemented using templates: requests
> for deletion, requests for unblocking, article sorting for WikiProjects,
> stub sorting. Many of these things could be unified, at least partially, by
> making templates global, and among many benefits, it would make research
> easier, too.
>
> [1] It came at #3 in the Community Wishlist vote in 2015, and at #1 in
> 2016. Despite this demand, it was not implemented :(
>
> --
> Amir Elisha Aharoni · אָמִיר אֱלִישָׁע אַהֲרוֹנִי
> http://aharoni.wordpress.com
> ‪“We're living in pieces,
> I want to live in peace.” – T. Moore‬
>
>
> ‫בתאריך יום ד׳, 2 באוק׳ 2019 ב-14:37 מאת ‪Jan Dittrich‬‏ <‪
> jan.dittr...@wikimedia.de‬‏>:‬
>
> > Hello  researchers,
> >
> >  A lot of research on Wikipedia is published in English and also uses the
> > English Wikipedia as source of data or researchers get their participants
> > via English Wikipedia [0].
> >
> > A frequent criticism I meet when discussing such research with non-en.wp
> > community members is that their Wikipedia is different and the results of
> > en.wp base research are problematic/incomparable/totally useless.
> >
> > So I want to ask:
> > - Do you know of research comparing different Wikis, preferably across
> > language versions? [1]
> > - How would you deal with such criticism, particularly of the "if it is
> not
> > about 'my' wp it is useless"-kind [2]?
> >
> > Kind Regards,
> >  Jan
> >
> > 
> > [0] Plausible due to academi fields, particularly Computer Science,
> > publishing mainly in english, size and WMF as actor being US-based.
> > [1] I know of »revisiting "The Rise and Decline" in a Population of Peer
> > Production Projects« (https://dl.acm.org/citation.cfm?id=3173929),
> > comparing different Wikia-Wikis; Research like "limits of
> > self-organization" (https://firstmonday.org/article/view/1405/1323) that
> > refer to general principles of peer production. Comparisons of Wikipedias
> > across languages and the impact of their different contexts, languages
> and
> > regulations would be very interesting to me.
> > [2] I'm aware that making heterogeneous things comparable is seen as a
> core
> > academic/scientific activity in STS research (Law, SL Star, Turnbull…)
> so I
> > do not want to say, transfer to a different setting is not a problem –
> but
> > it is certainly not "totally useless" either.
> >
> > --
> > Jan Dittrich
> > UX Design/ Research
> >
> > Wikimedia Deutschland e. V. | Tempelhofer Ufer 23-24 | 10963 Berlin
> > Tel. (030) 219 158 26-0
> > https://wikimedia.de
> >
> > Unsere Vision ist eine Welt, in der alle Menschen am Wissen der
> Menschheit
> > teilhaben, es nutzen und mehren können. Helfen Sie uns dabei!
> > https://spenden.wikimedia.de
> >
> > Wikimedia Deutschland — Gesellschaft zur Förderung Freien Wissens e. V.
> > Eingetragen im Vereinsregister des Amtsgerichts Berlin-Charlottenburg
> unter
> > der Nummer 23855 B. Als gemeinnützig anerkannt durch das Finanzamt für
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