[Wiki-research-l] [Wikimedia Research Showcase] September 20 at 16:30 UTC
Hi all, The next Research Showcase, focused on *Rules on Wikipedia*, will be live-streamed on Wednesday, September 20, at 9:30 AM PST / 16:30 UTC. Find your local time here <https://zonestamp.toolforge.org/1695227400>. YouTube stream: https://youtube.com/live/h89l9JWZBCU?feature=share <https://www.google.com/url?q=https://youtube.com/live/h89l9JWZBCU?feature%3Dshare=D=calendar=1695134846874404=AOvVaw18JH_4LyknECqPj6uR0CWz>. As usual, you can join the conversation in the YouTube chat as soon as the showcase goes live. This month's presentations: Variation and overlap in the peer production of community rules: the case of five WikipediasBy *Sohyeon Hwang, Northwestern University* In this talk, I present work analyzing the rules and rule-making on Wikipedia. The governance of many online communities relies on rules created by participants. However, work predominantly focuses on efforts within a single community or on a platform as a whole. Here we investigate the comparative and relational dimensions of online self-governance in a set of similar communities by looking at the five largest language editions of Wikipedia. Using exhaustive trace data spanning almost 20 years since their founding, we examine patterns in rule-making and overlaps in rule sets. Our findings show that language editions have similar trajectories of rule-making activity, replicating and extending a rich body of work that have focused on English-language Wikipedia alone. We also find that the language editions have increasingly unique rule sets, even as editing activity concentrates on rules shared between them. The results suggest that self-governing communities aligned in key ways may share a common core of rules and rule-making practices even as they develop and sustain institutional variations. Wikipedia Community Policies and Experiential Epistemology: Critical Information Literacy, Social Justice, and Inclusive PracticesBy *Zachary J. McDowell, University of Illinois at Chicago*Drawing from a meta-analysis of research on learning outcomes in Wikipedia-based education, this presentation addresses Wikipedia community policies and practices through the Framework for Information Literacy in Higher Education from the Association of College and Research Libraries’ (ACRL). Wikipedia-based educational practices, which promote newcomers’ active engagement in the encyclopedia, have been shown to support experiential learnings in critical information literacy, communication and research outcomes, and social justice. Exploring the connections between participation in Wikipedia and transferable skills for information literacy in the context of the current new media landscape, this presentation grapples with new questions for the future of information literacies alongside the implications of large language models (LLMs), systemic biases, and the representation and inclusion of non-western and indigenous knowledge sources. You can also watch our past research showcases here: https://www.mediawiki.org/wiki/Wikimedia_Research/Shshowcase <https://www.mediawiki.org/wiki/Wikimedia_Research/Showcase> Best, Kinneret -- Kinneret Gordon Lead Research Community Officer Wikimedia Foundation <https://wikimediafoundation.org/> ___ Wiki-research-l mailing list -- wiki-research-l@lists.wikimedia.org To unsubscribe send an email to wiki-research-l-le...@lists.wikimedia.org
[Wiki-research-l] [Wikimedia Research Showcase] October 18 at 16:30 UTC
Hi all, The next Research Showcase, focused on *Data Privacy*, will be live-streamed on Wednesday, October 18, at 9:30 AM PST / 16:30 UTC. Find your local time here <https://zonestamp.toolforge.org/1697646641>. YouTube stream: https://www.youtube.com/watch?v=ntgRsMaDlsw. As usual, you can join the conversation in the YouTube chat as soon as the showcase goes live. This month's presentations: Wikipedia Reader Navigation: When Synthetic Data Is EnoughBy *Akhil Arora, EPFL*Every day millions of people read Wikipedia. When navigating the vast space of available topics using hyperlinks, readers describe trajectories on the article network. Understanding these navigation patterns is crucial to better serve readers’ needs and address structural biases and knowledge gaps. However, systematic studies of navigation on Wikipedia are hindered by a lack of publicly available data due to the commitment to protect readers' privacy by not storing or sharing potentially sensitive data. In this paper, we ask: How well can Wikipedia readers' navigation be approximated by using publicly available resources, most notably the Wikipedia clickstream data <https://wikinav.toolforge.org/>? We systematically quantify the differences between real navigation sequences and synthetic sequences generated from the clickstream data, in 6 analyses across 8 Wikipedia language versions. Overall, we find that the differences between real and synthetic sequences are statistically significant, but with small effect sizes, often well below 10%. This constitutes quantitative evidence for the utility of the Wikipedia clickstream data as a public resource: clickstream data can closely capture reader navigation on Wikipedia and provides a sufficient approximation for most practical downstream applications relying on reader data. More broadly, this study provides an example for how clickstream-like data can generally enable research on user navigation on online platforms while protecting users’ privacy. How to tell the world about data you cannot show them: Differential privacy at the Wikimedia FoundationBy *Hal Triedman, Wikimedia Foundation*The Wikimedia Foundation (WMF), by virtue of its centrality on the internet, collects lots of data about platform activities. Some of that data is made public (e.g. global daily pageviews); other data types are not shared (or are pseudonymized prior to sharing), largely due to privacy concerns. Differential privacy is a statistical definition of privacy that has gained prominence in academia, but is still an emerging technology in industry. In this talk, I share the story of how we put differential privacy into production at the WMF, through looking at the case study of geolocated daily pageview counts. You can also watch our past research showcases here: https://www.mediawiki.org/wiki/Wikimedia_Research/Showcase Best, Kinneret -- Kinneret Gordon Lead Research Community Officer Wikimedia Foundation <https://wikimediafoundation.org/> -- Kinneret Gordon Lead Research Community Officer Wikimedia Foundation <https://wikimediafoundation.org/> ___ Wiki-research-l mailing list -- wiki-research-l@lists.wikimedia.org To unsubscribe send an email to wiki-research-l-le...@lists.wikimedia.org
[Wiki-research-l] Re: [Wikimedia Research Showcase] September 20 at 16:30 UTC
Hello everyone, Friendly reminder that the Showcase on *Rules on Wikipedia *will start in about half an hour. Hope you can join us! On Thu, Sep 14, 2023 at 6:01 PM Kinneret Gordon wrote: > Hi all, > > The next Research Showcase, focused on *Rules on Wikipedia*, will be > live-streamed on Wednesday, September 20, at 9:30 AM PST / 16:30 UTC. Find > your local time here <https://zonestamp.toolforge.org/1695227400>. > > YouTube stream: https://youtube.com/live/h89l9JWZBCU?feature=share > <https://www.google.com/url?q=https://youtube.com/live/h89l9JWZBCU?feature%3Dshare=D=calendar=1695134846874404=AOvVaw18JH_4LyknECqPj6uR0CWz>. > As usual, you can join the conversation in the YouTube chat as soon as the > showcase goes live. > > This month's presentations: > Variation and overlap in the peer production of community rules: the case > of five WikipediasBy *Sohyeon Hwang, Northwestern University* > In this talk, I present work analyzing the rules and rule-making on > Wikipedia. The governance of many online communities relies on rules > created by participants. However, work predominantly focuses on efforts > within a single community or on a platform as a whole. Here we investigate > the comparative and relational dimensions of online self-governance in a > set of similar communities by looking at the five largest language editions > of Wikipedia. Using exhaustive trace data spanning almost 20 years since > their founding, we examine patterns in rule-making and overlaps in rule > sets. Our findings show that language editions have similar trajectories of > rule-making activity, replicating and extending a rich body of work that > have focused on English-language Wikipedia alone. We also find that the > language editions have increasingly unique rule sets, even as editing > activity concentrates on rules shared between them. The results suggest > that self-governing communities aligned in key ways may share a common core > of rules and rule-making practices even as they develop and sustain > institutional variations. > > > Wikipedia Community Policies and Experiential Epistemology: Critical > Information Literacy, Social Justice, and Inclusive PracticesBy *Zachary > J. McDowell, University of Illinois at Chicago*Drawing from a > meta-analysis of research on learning outcomes in Wikipedia-based > education, this presentation addresses Wikipedia community policies and > practices through the Framework for Information Literacy in Higher > Education from the Association of College and Research Libraries’ (ACRL). > Wikipedia-based educational practices, which promote newcomers’ active > engagement in the encyclopedia, have been shown to support experiential > learnings in critical information literacy, communication and research > outcomes, and social justice. Exploring the connections between > participation in Wikipedia and transferable skills for information literacy > in the context of the current new media landscape, this presentation > grapples with new questions for the future of information literacies > alongside the implications of large language models (LLMs), systemic > biases, and the representation and inclusion of non-western and indigenous > knowledge sources. > You can also watch our past research showcases here: > https://www.mediawiki.org/wiki/Wikimedia_Research/Shshowcase > <https://www.mediawiki.org/wiki/Wikimedia_Research/Showcase> > > Best, > Kinneret > > -- > > Kinneret Gordon > > Lead Research Community Officer > > Wikimedia Foundation <https://wikimediafoundation.org/> > > ___ Wiki-research-l mailing list -- wiki-research-l@lists.wikimedia.org To unsubscribe send an email to wiki-research-l-le...@lists.wikimedia.org
[Wiki-research-l] Re: [Wikimedia Research Showcase] October 18 at 16:30 UTC
Hi all, Just a friendly reminder that we'll be starting in approximately 30 minutes. https://www.youtube.com/watch?v=ntgRsMaDlsw On Mon, Oct 16, 2023 at 3:29 PM Kinneret Gordon wrote: > Hi all, > > The next Research Showcase, focused on *Data Privacy*, will be > live-streamed on Wednesday, October 18, at 9:30 AM PST / 16:30 UTC. Find > your local time here <https://zonestamp.toolforge.org/1697646641>. > > YouTube stream: https://www.youtube.com/watch?v=ntgRsMaDlsw. As usual, > you can join the conversation in the YouTube chat as soon as the showcase goes > live. > > This month's presentations: > Wikipedia Reader Navigation: When Synthetic Data Is EnoughBy *Akhil > Arora, EPFL*Every day millions of people read Wikipedia. When navigating > the vast space of available topics using hyperlinks, readers describe > trajectories on the article network. Understanding these navigation > patterns is crucial to better serve readers’ needs and address structural > biases and knowledge gaps. However, systematic studies of navigation on > Wikipedia are hindered by a lack of publicly available data due to the > commitment to protect readers' privacy by not storing or sharing > potentially sensitive data. In this paper, we ask: How well can Wikipedia > readers' navigation be approximated by using publicly available resources, > most notably the Wikipedia clickstream data > <https://wikinav.toolforge.org/>? We systematically quantify the > differences between real navigation sequences and synthetic sequences > generated from the clickstream data, in 6 analyses across 8 Wikipedia > language versions. Overall, we find that the differences between real and > synthetic sequences are statistically significant, but with small effect > sizes, often well below 10%. This constitutes quantitative evidence for the > utility of the Wikipedia clickstream data as a public resource: clickstream > data can closely capture reader navigation on Wikipedia and provides a > sufficient approximation for most practical downstream applications relying > on reader data. More broadly, this study provides an example for how > clickstream-like data can generally enable research on user navigation on > online platforms while protecting users’ privacy. > How to tell the world about data you cannot show them: Differential > privacy at the Wikimedia FoundationBy *Hal Triedman, Wikimedia Foundation*The > Wikimedia Foundation (WMF), by virtue of its centrality on the internet, > collects lots of data about platform activities. Some of that data is made > public (e.g. global daily pageviews); other data types are not shared (or > are pseudonymized prior to sharing), largely due to privacy concerns. > Differential privacy is a statistical definition of privacy that has gained > prominence in academia, but is still an emerging technology in industry. In > this talk, I share the story of how we put differential privacy into > production at the WMF, through looking at the case study of geolocated > daily pageview counts. > You can also watch our past research showcases here: > https://www.mediawiki.org/wiki/Wikimedia_Research/Showcase > > Best, > Kinneret > -- > > Kinneret Gordon > > Lead Research Community Officer > > Wikimedia Foundation <https://wikimediafoundation.org/> > > > -- > > Kinneret Gordon > > Lead Research Community Officer > > Wikimedia Foundation <https://wikimediafoundation.org/> > > ___ Wiki-research-l mailing list -- wiki-research-l@lists.wikimedia.org To unsubscribe send an email to wiki-research-l-le...@lists.wikimedia.org
[Wiki-research-l] Wikimedia Research Fund Update
Hi all, We are excited to announce the launch of this year's *Wikimedia Research Fund *with the goal of diversifying the network of Wikimedia researchers globally and supporting the Wikimedia Movement in deeper understanding of the projects, decision making, and building new technologies. If you are a Wikimedia researcher or you are interested in becoming one, you can apply for research funds (USD 2K-50K) until December 15, 2023. While all research proposals related to Wikimedia projects are welcome, we particularly encourage research studies on medium to small size languages and communities, as well as in low resourced languages and projects. You can even propose to repeat a past study in a given language in another language! More info at https://meta.wikimedia.org/wiki/Grants:Programs/Wikimedia_Research_%26_Tech… <https://meta.wikimedia.org/wiki/Grants:Programs/Wikimedia_Research_&_Technology_Fund/Wikimedia_Research_Fund>. **Apply by December 15, 2023* and/or spread the word!* If you have questions, please reach out to us at research_fund(a)wikimedia.org, Meta-Wiki [1], here, or schedule 1:1 consultations with us. Click here <https://calendar.app.google/uJkivKnmgR7piwvr9> to schedule a session with Kinneret Gordon <https://meta.wikimedia.org/wiki/User:KGordon_(WMF)> or here <https://calendar.google.com/calendar/u/0/selfsched?sstoken=UUs2OFM0bEFMYzJtfGRlZmF1bHR8M2U2Y2FkZTcwN2RiM2M0OTBmMWNlMDgxZDJlMTg4MjY> to schedule a session with Leila Zia <https://meta.wikimedia.org/wiki/User:LZia_(WMF)>. Best, Kinneret Gordon, on behalf of the Research Fund Organizing Committee [1] https://meta.wikimedia.org/wiki/Grants_talk:Start -- Kinneret Gordon Lead Research Community Officer Wikimedia Foundation <https://wikimediafoundation.org/> ___ Wiki-research-l mailing list -- wiki-research-l@lists.wikimedia.org To unsubscribe send an email to wiki-research-l-le...@lists.wikimedia.org
[Wiki-research-l] [Wikimedia Research Showcase] July 19 at 1630 UTC
Hello everyone, The next Research Showcase, focused on *Improving knowledge integrity in Wikimedia projects*, will be live-streamed Wednesday, July 19, at 9:30 AM PST / 16:30 UTC. Find your local time here <https://zonestamp.toolforge.org/1689784256>. The event is on the WMF Staff Calendar. YouTube stream: https://youtube.com/live/_8DevIsi44s?feature=share <https://www.google.com/url?q=https://youtube.com/live/_8DevIsi44s?feature%3Dshare=D=calendar=1689620665057229=AOvVaw1qtvb4ZkbOTQV7LddNBH8X> 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 presentations: Assessment of Reference Quality on WikipediaBy *Aitolkyn Baigutanova, KAIST*In this talk, I will present our research on the reliability of Wikipedia through the lens of its references. I will primarily discuss our paper on the longitudinal assessment of reference quality on English Wikipedia, where we operationalize the notion of reference quality by defining reference need (RN), i.e., the percentage of sentences missing a citation, and reference risk (RR), i.e., the proportion of non-authoritative references. I will share our research findings on two key aspects: (1) the evolution of reference quality over a 10-year period and (2) factors that affect reference quality. We discover that the RN score has dropped by 20 percent point, with more than half of verifiable statements now accompanying references. The RR score has remained below 1% over the years as a result of the efforts of the community to eliminate unreliable references. As an extension of this work, we explore how community initiatives, such as the perennial source list, help with maintaining reference quality across multiple language editions of Wikipedia. We hope our work encourages more active discussions within Wikipedia communities to improve reference quality of the content. - Paper: Aitolkyn Baigutanova, Jaehyeon Myung, Diego Saez-Trumper, Ai-Jou Chou, Miriam Redi, Changwook Jung, and Meeyoung Cha. 2023. Longitudinal Assessment of Reference Quality on Wikipedia. In Proceedings of the ACM Web Conference 2023 (WWW '23). Association for Computing Machinery, New York, NY, USA, 2831–2839. <https://dl.acm.org/doi/abs/10.1145/3543507.3583218> Multilingual approaches to support knowledge integrity in WikipediaBy *Diego Saez-Trumper & Pablo Aragón, Wikimedia Foundation*Knowledge integrity in Wikipedia is key to ensure the quality and reliability of information. For that reason, editors devote a substantial amount of their time in patrolling tasks in order to detect low-quality or misleading content. In this talk we will cover recent multilingual approaches to support knowledge integrity. First, we will present a novel design of a system aimed at assisting the Wikipedia communities in addressing vandalism. This system was built by collecting a massive dataset of multiple languages and then applying advanced filtering and feature engineering techniques, including multilingual masked language modeling to build the training dataset from human-generated data. Second, we will showcase the Wikipedia Knowledge Integrity Risk Observatory, a dashboard that relies on a language-agnostic version of the former system to monitor high risk content in hundreds of Wikipedia language editions. We will conclude with a discussion of different challenges to be addressed in future work. - Papers: Trokhymovych, M., Aslam, M., Chou, A. J., Baeza-Yates, R., & Saez-Trumper, D. (2023). Fair multilingual vandalism detection system for Wikipedia. arXiv e-prints, arXiv-2306. https://arxiv.org/pdf/2306.01650.pdfAragón, P., & Sáez-Trumper, D. (2021). A preliminary approach to knowledge integrity risk assessment in Wikipedia projects. arXiv preprint arXiv:2106.15940. Best, Kinneret -- Kinneret Gordon Senior Research Community Officer Wikimedia Foundation <https://wikimediafoundation.org/> ___ Wiki-research-l mailing list -- wiki-research-l@lists.wikimedia.org To unsubscribe send an email to wiki-research-l-le...@lists.wikimedia.org
[Wiki-research-l] Re: [Wikimedia Research Showcase] July 19 at 1630 UTC
Hello everyone, Friendly reminder that the Showcase will start in about half an hour. Hope you can join us! On Thu, Jul 13, 2023 at 10:37 AM Kinneret Gordon wrote: > Hello everyone, > > The next Research Showcase, focused on *Improving knowledge integrity in > Wikimedia projects*, will be live-streamed Wednesday, July 19, at 9:30 AM > PST / 16:30 UTC. Find your local time here > <https://zonestamp.toolforge.org/1689784256>. > > The event is on the WMF Staff Calendar. > > YouTube stream: https://youtube.com/live/_8DevIsi44s?feature=share > <https://www.google.com/url?q=https://youtube.com/live/_8DevIsi44s?feature%3Dshare=D=calendar=1689620665057229=AOvVaw1qtvb4ZkbOTQV7LddNBH8X> > > 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 presentations: > Assessment of Reference Quality on WikipediaBy *Aitolkyn Baigutanova, > KAIST*In this talk, I will present our research on the reliability of > Wikipedia through the lens of its references. I will primarily discuss our > paper on the longitudinal assessment of reference quality on English > Wikipedia, where we operationalize the notion of reference quality by > defining reference need (RN), i.e., the percentage of sentences missing a > citation, and reference risk (RR), i.e., the proportion of > non-authoritative references. I will share our research findings on two key > aspects: (1) the evolution of reference quality over a 10-year period and > (2) factors that affect reference quality. We discover that the RN score > has dropped by 20 percent point, with more than half of verifiable > statements now accompanying references. The RR score has remained below 1% > over the years as a result of the efforts of the community to eliminate > unreliable references. As an extension of this work, we explore how > community initiatives, such as the perennial source list, help with > maintaining reference quality across multiple language editions of > Wikipedia. We hope our work encourages more active discussions within > Wikipedia communities to improve reference quality of the content. > >- Paper: Aitolkyn Baigutanova, Jaehyeon Myung, Diego Saez-Trumper, >Ai-Jou Chou, Miriam Redi, Changwook Jung, and Meeyoung Cha. 2023. >Longitudinal Assessment of Reference Quality on Wikipedia. In Proceedings >of the ACM Web Conference 2023 (WWW '23). Association for Computing >Machinery, New York, NY, USA, 2831–2839. ><https://dl.acm.org/doi/abs/10.1145/3543507.3583218> > > Multilingual approaches to support knowledge integrity in WikipediaBy *Diego > Saez-Trumper & Pablo Aragón, Wikimedia Foundation*Knowledge integrity in > Wikipedia is key to ensure the quality and reliability of information. For > that reason, editors devote a substantial amount of their time in > patrolling tasks in order to detect low-quality or misleading content. In > this talk we will cover recent multilingual approaches to support knowledge > integrity. First, we will present a novel design of a system aimed at > assisting the Wikipedia communities in addressing vandalism. This system > was built by collecting a massive dataset of multiple languages and then > applying advanced filtering and feature engineering techniques, including > multilingual masked language modeling to build the training dataset from > human-generated data. Second, we will showcase the Wikipedia Knowledge > Integrity Risk Observatory, a dashboard that relies on a language-agnostic > version of the former system to monitor high risk content in hundreds of > Wikipedia language editions. We will conclude with a discussion of > different challenges to be addressed in future work. > >- Papers: > > Trokhymovych, M., Aslam, M., Chou, A. J., Baeza-Yates, R., & Saez-Trumper, > D. (2023). Fair multilingual vandalism detection system for Wikipedia. > arXiv e-prints, arXiv-2306. https://arxiv.org/pdf/2306.01650.pdfAragón, > P., & Sáez-Trumper, D. (2021). A preliminary approach to knowledge > integrity risk assessment in Wikipedia projects. arXiv preprint > arXiv:2106.15940. > Best, > Kinneret > -- > > Kinneret Gordon > > Senior Research Community Officer > > Wikimedia Foundation <https://wikimediafoundation.org/> > > ___ Wiki-research-l mailing list -- wiki-research-l@lists.wikimedia.org To unsubscribe send an email to wiki-research-l-le...@lists.wikimedia.org
[Wiki-research-l] [Wikimedia Research Showcase] February 21 at 16:30 UTC
Hi all, The next Research Showcase will be live-streamed on Wednesday, February 21, at 8:30 AM PST / 16:30 UTC. Find your local time here <https://zonestamp.toolforge.org/1708533000>. The theme for this showcase is *Platform Governance and Policies*. You are welcome to watch via the YouTube stream: https://www.youtube.com/watch?v=Q1xYwRw1rHU. As usual, you can join the conversation in the YouTube chat as soon as the showcase goes live. This month's presentation: Sociotechnical Designs for Democratic and Pluralistic Governance of Social Media and AIBy *Amy X. Zhang, University of Washington*Decisions about policies when using widely-deployed technologies, including social media and more recently, generative AI, are often made in a centralized and top-down fashion. Yet these systems are used by millions of people, with a diverse set of preferences and norms. Who gets to decide what are the rules, and what should the procedures be for deciding them---and must we all abide by the same ones? In this talk, I draw on theories and lessons from offline governance to reimagine how sociotechnical systems could be designed to provide greater agency and voice to everyday users and communities. This includes the design and development of: 1) personal moderation and curation controls that are usable and understandable to laypeople, 2) tools for authoring and carrying out governance to suit a community's needs and values, and 3) decision-making workflows for large-scale democratic alignment that are legitimate and consistent. Best,Kinneret -- Kinneret Gordon Lead Research Community Officer Wikimedia Foundation <https://wikimediafoundation.org/> ___ Wiki-research-l mailing list -- wiki-research-l@lists.wikimedia.org To unsubscribe send an email to wiki-research-l-le...@lists.wikimedia.org
[Wiki-research-l] Re: [Wikimedia Research Showcase] February 21 at 16:30 UTC
Hi everyone, Quick reminder that the Research Showcase will be starting in less than an hour! Join us at https://www.youtube.com/watch?v=Q1xYwRw1rHU. Best, Kinneret On Thu, Feb 15, 2024 at 4:38 PM Kinneret Gordon wrote: > Hi all, > > The next Research Showcase will be live-streamed on Wednesday, February > 21, at 8:30 AM PST / 16:30 UTC. Find your local time here > <https://zonestamp.toolforge.org/1708533000>. The theme for this showcase > is *Platform Governance and Policies*. > > You are welcome to watch via the YouTube stream: > https://www.youtube.com/watch?v=Q1xYwRw1rHU. As usual, you can join the > conversation in the YouTube chat as soon as the showcase goes live. > > This month's presentation: > Sociotechnical Designs for Democratic and Pluralistic Governance of Social > Media and AIBy *Amy X. Zhang, University of Washington*Decisions about > policies when using widely-deployed technologies, including social media > and more recently, generative AI, are often made in a centralized and > top-down fashion. Yet these systems are used by millions of people, with a > diverse set of preferences and norms. Who gets to decide what are the > rules, and what should the procedures be for deciding them---and must we > all abide by the same ones? In this talk, I draw on theories and lessons > from offline governance to reimagine how sociotechnical systems could be > designed to provide greater agency and voice to everyday users and > communities. This includes the design and development of: 1) personal > moderation and curation controls that are usable and understandable to > laypeople, 2) tools for authoring and carrying out governance to suit a > community's needs and values, and 3) decision-making workflows for > large-scale democratic alignment that are legitimate and consistent. > Best,Kinneret > -- > > Kinneret Gordon > > Lead Research Community Officer > > Wikimedia Foundation <https://wikimediafoundation.org/> > > > > ___ Wiki-research-l mailing list -- wiki-research-l@lists.wikimedia.org To unsubscribe send an email to wiki-research-l-le...@lists.wikimedia.org
[Wiki-research-l] Re: [Wikimedia Research Showcase] December 12 at 17:30 UTC
Hi all, The Research Showcase panel on *"*A year of Generative AI: *Future directions for Wikimedia"* is starting in about 1 hour. Please join us at https://www.youtube.com/watch?v=UnAsD7-hZpo. On Wed, Dec 6, 2023 at 12:04 AM Kinneret Gordon wrote: > Hi All, > > The next Research Showcase will be live-streamed on Tuesday, December 12, at > 9:30 AM PST / 17:30 UTC. Find your local time here > <https://zonestamp.toolforge.org/1702402200>. This is a special showcase > featuring a panel titled *"*A year of Generative AI: *Future directions for > Wikimedia". *You can find more information on this showcase below. > > You can watch via the YouTube stream: > https://youtube.com/live/UnAsD7-hZpo?feature=share > <https://www.google.com/url?q=https://youtube.com/live/UnAsD7-hZpo?feature%3Dshare=D=calendar=1702028854564402=AOvVaw32tCP8X-Sli34Ch0JU>. > As usual, you can join the conversation in the YouTube chat as soon as the > showcase goes live. > > *This December marks the one-year anniversary of ChatGPT with the resulting > public interest in generative AI and growing research focus on practical uses > of large language models. There has been much discussion about how these > generative models might disrupt the Wikimedia projects but also prototyping > to see where they might be useful. To discuss what we've learned in the past > year and what opportunities ahead are being enabled by research, we bring > together a panel of four folks: Isaac Johnson (senior research scientist at > the Wikimedia Foundation) will be the moderator and the three panelists are > User:Barkeep49 [1], Maryana Pinchuk [2], and Robert West [3] to bring > perspectives from the volunteer, product, and research communities. > > [1] https://en.wikipedia.org/wiki/User:Barkeep49 > <https://en.wikipedia.org/wiki/User:Barkeep49> > [2] https://meta.wikimedia.org/wiki/User:MPinchuk_(WMF) > <https://meta.wikimedia.org/wiki/User:MPinchuk_(WMF)> > [3] https://dlab.epfl.ch/people/west/ <https://dlab.epfl.ch/people/west/> * > > Looking forward to seeing you there! > > > -- > > Kinneret Gordon > > Lead Research Community Officer > > Wikimedia Foundation <https://wikimediafoundation.org/> > > ___ Wiki-research-l mailing list -- wiki-research-l@lists.wikimedia.org To unsubscribe send an email to wiki-research-l-le...@lists.wikimedia.org
[Wiki-research-l] Help us review the third round of Research Fund proposals
Hello everyone, In October, we announced this year's call for proposals to the Wikimedia Research Fund [1]. Our submission deadline was December 15. We are now in the exciting phase of reviewing submissions and making recommendations for which proposals to advance to Stage II [2] and we welcome your input. The review process consists of technical reviews conducted by researchers, along with open community feedback, before advancing to the next stages. The community feedback process will take place on Meta-Wiki where you can read the proposals under consideration and leave comments using our feedback form linked from every proposal page [3]. The proposals have been categorized by project and regional focus in order to ease the review process [4]. The deadline for providing feedback is *January 30, 2024 (23:59 AoE)*.If you have any questions, please contact us at research_fund(a)wikimedia.org. Thank you for your time. Kinneret, on behalf of the Research Fund Organizing Committee [5] [1] https://lists.wikimedia.org/hyperkitty/list/wiki-research-l@lists.wikimedia.org/thread/SLFAWPKCJI3QCAYW43O6QEVGK7SJAMBQ/ [2] https://meta.wikimedia.org/wiki/Grants:Programs/Wikimedia_Research_%26_Technology_Fund/Wikimedia_Research_Fund# [3] https://meta.wikimedia.org/wiki/Category:Proposed_Wikimedia_Research_Fund_applications_in_FY_2023-24 [4] https://meta.wikimedia.org/wiki/Grants:Programs/Wikimedia_Research_%26_Technology_Fund/Wikimedia_Research_Fund#Review_submissions [5] https://meta.wikimedia.org/wiki/Grants:Programs/Wikimedia_Research_%26_Technology_Fund/Wikimedia_Research_Fund#Organizing_Committee -- Kinneret Gordon Lead Research Community Officer Wikimedia Foundation <https://wikimediafoundation.org/> ___ Wiki-research-l mailing list -- wiki-research-l@lists.wikimedia.org To unsubscribe send an email to wiki-research-l-le...@lists.wikimedia.org
[Wiki-research-l] Re: [Wikimedia Research Showcase] January 17 at 17:30 UTC
Quick reminder that this is happening in about 1 hour. Please join us at https://www.youtube.com/watch?v=UUuC6Q1SIoM. On Thu, Jan 11, 2024 at 4:51 PM Kinneret Gordon wrote: > Hi all, > > The next Research Showcase will be live-streamed on Wednesday, January 17, > at 9:30 AM PST / 17:30 UTC. Find your local time here > <https://zonestamp.toolforge.org/1705512600>. The theme for this showcase > is *Connecting Action with Policy*. > > You are welcome to watch via the YouTube stream: > https://www.youtube.com/watch?v=UUuC6Q1SIoM. As usual, you can join the > conversation in the YouTube chat as soon as the showcase goes live. > > This month's presentations: > Presenting the report "Unreliable Guidelines"By *Amber Berson and Monika > Jones*The goal behind the report Unreliable Guidelines: Reliable Sources > and Marginalized Communities in French, English and Spanish Wikipedias was > to understand the effects of the set of reliable source guidelines and > rules on the participation of and the content about marginalized > communities on three Wikipedias. Two years following the release of their > report, researchers Berson and Sengul-Jones reflect on the impact of their > research as well as the actionable next steps.Why Should This Article Be > Deleted? Transparent Stance Detection in Multilingual Wikipedia Editor > DiscussionsBy *Lucie-Aimée Kaffee and Arnav Arora*The moderation of > content on online platforms is usually non-transparent. On Wikipedia, > however, this discussion is carried out publicly and the editors are > encouraged to use the content moderation policies as explanations for > making moderation decisions. However, currently only a few comments > explicitly mention those policies. To aid in this process of understanding > how content is moderated, we construct a novel multilingual dataset of > Wikipedia editor discussions along with their reasoning in three languages. > We demonstrate that stance and corresponding reason (policy) can be > predicted jointly with a high degree of accuracy, adding transparency to > the decision-making process. > > Best, > Kinneret > -- > > Kinneret Gordon > > Lead Research Community Officer > > Wikimedia Foundation <https://wikimediafoundation.org/> > > ___ Wiki-research-l mailing list -- wiki-research-l@lists.wikimedia.org To unsubscribe send an email to wiki-research-l-le...@lists.wikimedia.org
[Wiki-research-l] [Wikimedia Research Showcase] January 17 at 17:30 UTC
Hi all, The next Research Showcase will be live-streamed on Wednesday, January 17, at 9:30 AM PST / 17:30 UTC. Find your local time here <https://zonestamp.toolforge.org/1705512600>. The theme for this showcase is *Connecting Action with Policy*. You are welcome to watch via the YouTube stream: https://www.youtube.com/watch?v=UUuC6Q1SIoM. As usual, you can join the conversation in the YouTube chat as soon as the showcase goes live. This month's presentations: Presenting the report "Unreliable Guidelines"By *Amber Berson and Monika Jones*The goal behind the report Unreliable Guidelines: Reliable Sources and Marginalized Communities in French, English and Spanish Wikipedias was to understand the effects of the set of reliable source guidelines and rules on the participation of and the content about marginalized communities on three Wikipedias. Two years following the release of their report, researchers Berson and Sengul-Jones reflect on the impact of their research as well as the actionable next steps.Why Should This Article Be Deleted? Transparent Stance Detection in Multilingual Wikipedia Editor DiscussionsBy *Lucie-Aimée Kaffee and Arnav Arora*The moderation of content on online platforms is usually non-transparent. On Wikipedia, however, this discussion is carried out publicly and the editors are encouraged to use the content moderation policies as explanations for making moderation decisions. However, currently only a few comments explicitly mention those policies. To aid in this process of understanding how content is moderated, we construct a novel multilingual dataset of Wikipedia editor discussions along with their reasoning in three languages. We demonstrate that stance and corresponding reason (policy) can be predicted jointly with a high degree of accuracy, adding transparency to the decision-making process. Best, Kinneret -- Kinneret Gordon Lead Research Community Officer Wikimedia Foundation <https://wikimediafoundation.org/> ___ Wiki-research-l mailing list -- wiki-research-l@lists.wikimedia.org To unsubscribe send an email to wiki-research-l-le...@lists.wikimedia.org
[Wiki-research-l] [Wikimedia Research Showcase] December 12 at 17:30 UTC
Hi All, The next Research Showcase will be live-streamed on Tuesday, December 12, at 9:30 AM PST / 17:30 UTC. Find your local time here <https://zonestamp.toolforge.org/1702402200>. This is a special showcase featuring a panel titled *"*A year of Generative AI: *Future directions for Wikimedia". *You can find more information on this showcase below. You can watch via the YouTube stream: https://youtube.com/live/UnAsD7-hZpo?feature=share <https://www.google.com/url?q=https://youtube.com/live/UnAsD7-hZpo?feature%3Dshare=D=calendar=1702028854564402=AOvVaw32tCP8X-Sli34Ch0JU>. As usual, you can join the conversation in the YouTube chat as soon as the showcase goes live. *This December marks the one-year anniversary of ChatGPT with the resulting public interest in generative AI and growing research focus on practical uses of large language models. There has been much discussion about how these generative models might disrupt the Wikimedia projects but also prototyping to see where they might be useful. To discuss what we've learned in the past year and what opportunities ahead are being enabled by research, we bring together a panel of four folks: Isaac Johnson (senior research scientist at the Wikimedia Foundation) will be the moderator and the three panelists are User:Barkeep49 [1], Maryana Pinchuk [2], and Robert West [3] to bring perspectives from the volunteer, product, and research communities. [1] https://en.wikipedia.org/wiki/User:Barkeep49 <https://en.wikipedia.org/wiki/User:Barkeep49> [2] https://meta.wikimedia.org/wiki/User:MPinchuk_(WMF) <https://meta.wikimedia.org/wiki/User:MPinchuk_(WMF)> [3] https://dlab.epfl.ch/people/west/ <https://dlab.epfl.ch/people/west/> * Looking forward to seeing you there! -- Kinneret Gordon Lead Research Community Officer Wikimedia Foundation <https://wikimediafoundation.org/> ___ Wiki-research-l mailing list -- wiki-research-l@lists.wikimedia.org To unsubscribe send an email to wiki-research-l-le...@lists.wikimedia.org
[Wiki-research-l] Re: [Wikimedia Research Showcase] November 15 at 16:30 UTC
Hi All, We will be starting the research showcase focused on *Bibliometrics* in approximately 30 minutes. Please join us! YouTube stream: https://www.youtube.com/watch?v=IxNa6vgMCDY. On Sun, Nov 12, 2023 at 4:43 PM Kinneret Gordon wrote: > Hi all, > > The next Research Showcase will be live-streamed on Wednesday, November > 15, at 9:30 AM PST / 16:30 UTC. Find your local time here > <https://zonestamp.toolforge.org/1700069400>. This showcase will focus on > *Bibliometrics*, just in time for the GLAM Wiki conference happening this > week in Montevideo. > > YouTube stream: https://www.youtube.com/watch?v=IxNa6vgMCDY. As usual, > you can join the conversation in the YouTube chat as soon as the showcase goes > live. > > This month's presentations: > Gender and country biases in Wikipedia citations to scholarly publications > By *Chaoqun Ni, University of Wisconsin-Madison*Ensuring Wikipedia cites > scholarly publications based on quality and relevancy without biases is > critical to credible and fair knowledge dissemination. We investigate > gender- and country-based biases in Wikipedia citation practices using > linked data from the Web of Science and a Wikipedia citation dataset. Using > coarsened exact matching, we show that publications by women are cited less > by Wikipedia than expected, and publications by women are less likely to be > cited than those by men. Scholarly publications by authors affiliated with > non-Anglosphere countries are also disadvantaged in getting cited by > Wikipedia, compared with those by authors affiliated with Anglosphere > countries. The level of gender- or country-based inequalities varies by > research field, and the gender-country intersectional bias is prominent in > math-intensive STEM fields. To ensure the credibility and equality of > knowledge presentation, Wikipedia should consider strategies and guidelines > to cite scholarly publications independent of the gender and country of > authors.Exploring Social Attention Dynamics through WikipediaBy *Wenceslao > Arroyo-Machado, Universidad de Granada*The untapped potential of > Wikipedia as a mirror of society's evolving interests and concerns is > explored. Recognizing Wikipedia as a vast, interactive repository of human > knowledge, the investigation focuses on how patterns of edits, views, and > discussions within Wikipedia articles, as well as their features, can serve > as real-time indicators of public interest and engagement. Key findings > reveal that Wikipedia is not just an information source but a reflection of > collective concerns, capturing significant trends and shifts in societal > focus. Additionally, it allows for the highlighting of both local and > international interests. These implications are far-reaching, offering > valuable insights for the Wikipedia community, academic researchers, > policymakers, and the general public. Understanding the dynamics of public > engagement on Wikipedia can inform content strategies, shape research > agendas, and guide public policy, while also providing a deeper > appreciation of the impact and significance of contributions made by the > global Wikipedia community. > You can also watch our past research showcases here: > https://www.mediawiki.org/wiki/Wikimedia_Research/Showcase > > Best, > Kinneret > > -- > > Kinneret Gordon > > Lead Research Community Officer > > Wikimedia Foundation <https://wikimediafoundation.org/> > > ___ Wiki-research-l mailing list -- wiki-research-l@lists.wikimedia.org To unsubscribe send an email to wiki-research-l-le...@lists.wikimedia.org
[Wiki-research-l] The 11th Annual Wiki Workshop- Mark Your Calendars!
Hello everyone, We're excited to announce that the 11th edition of Wiki Workshop [1], our largest Wikimedia research event of the year, will take place *virtually* on *June 20, 2024.* We look forward to your participation and contributions to make this year's workshop a great success. Stay tuned for further details and registration information. We can't wait to see you there! Kinneret on behalf of the organizing team [1] see last year's program and website: https://wikiworkshop.org/2023/ -- Kinneret Gordon Lead Research Community Officer Wikimedia Foundation <https://wikimediafoundation.org/> ___ Wiki-research-l mailing list -- wiki-research-l@lists.wikimedia.org To unsubscribe send an email to wiki-research-l-le...@lists.wikimedia.org
[Wiki-research-l] [Wikimedia Research Showcase] November 15 at 16:30 UTC
Hi all, The next Research Showcase will be live-streamed on Wednesday, November 15, at 9:30 AM PST / 16:30 UTC. Find your local time here <https://zonestamp.toolforge.org/1700069400>. This showcase will focus on *Bibliometrics*, just in time for the GLAM Wiki conference happening this week in Montevideo. YouTube stream: https://www.youtube.com/watch?v=IxNa6vgMCDY. As usual, you can join the conversation in the YouTube chat as soon as the showcase goes live. This month's presentations: Gender and country biases in Wikipedia citations to scholarly publications By *Chaoqun Ni, University of Wisconsin-Madison*Ensuring Wikipedia cites scholarly publications based on quality and relevancy without biases is critical to credible and fair knowledge dissemination. We investigate gender- and country-based biases in Wikipedia citation practices using linked data from the Web of Science and a Wikipedia citation dataset. Using coarsened exact matching, we show that publications by women are cited less by Wikipedia than expected, and publications by women are less likely to be cited than those by men. Scholarly publications by authors affiliated with non-Anglosphere countries are also disadvantaged in getting cited by Wikipedia, compared with those by authors affiliated with Anglosphere countries. The level of gender- or country-based inequalities varies by research field, and the gender-country intersectional bias is prominent in math-intensive STEM fields. To ensure the credibility and equality of knowledge presentation, Wikipedia should consider strategies and guidelines to cite scholarly publications independent of the gender and country of authors.Exploring Social Attention Dynamics through WikipediaBy *Wenceslao Arroyo-Machado, Universidad de Granada*The untapped potential of Wikipedia as a mirror of society's evolving interests and concerns is explored. Recognizing Wikipedia as a vast, interactive repository of human knowledge, the investigation focuses on how patterns of edits, views, and discussions within Wikipedia articles, as well as their features, can serve as real-time indicators of public interest and engagement. Key findings reveal that Wikipedia is not just an information source but a reflection of collective concerns, capturing significant trends and shifts in societal focus. Additionally, it allows for the highlighting of both local and international interests. These implications are far-reaching, offering valuable insights for the Wikipedia community, academic researchers, policymakers, and the general public. Understanding the dynamics of public engagement on Wikipedia can inform content strategies, shape research agendas, and guide public policy, while also providing a deeper appreciation of the impact and significance of contributions made by the global Wikipedia community. You can also watch our past research showcases here: https://www.mediawiki.org/wiki/Wikimedia_Research/Showcase Best, Kinneret -- Kinneret Gordon Lead Research Community Officer Wikimedia Foundation <https://wikimediafoundation.org/> ___ Wiki-research-l mailing list -- wiki-research-l@lists.wikimedia.org To unsubscribe send an email to wiki-research-l-le...@lists.wikimedia.org
[Wiki-research-l] [Wikimedia Research Showcase] Addressing Knowledge Gaps - March 20, 16:30 UTC
Hi everyone, The next Research Showcase will be live-streamed on Wednesday, March 20, at 9:30 AM PST / 16:30 UTC. Find your local time here <https://zonestamp.toolforge.org/1710952200>. In line with Women's History Month, the theme for this showcase is *Addressing Knowledge Gaps*. You are welcome to watch via the YouTube stream: https://www.youtube.com/watch?v=D6wrr9WShTk. As usual, you can join the conversation in the YouTube chat as soon as the showcase goes live. This month's presentation: Leveraging Recommender Systems to Reduce Content Gaps on WikipediaBy *Mo Houtti*Many Wikipedians use algorithmic recommender systems to help them find interesting articles to edit. The algorithms underlying those systems are driven by a straightforward assumption: we can look at what someone edited in the past to figure out what they’ll most likely want to edit next. But the story of what Wikipedians want to edit is almost definitely more complex than that. For example, our own prior research shows that Wikipedians prefer prioritizing articles that would minimize content gaps. So, we asked, what would happen if we incorporated that value into Wikipedians’ personalized recommendations? Through a controlled experiment on SuggestBot, we found that recommending more content gap articles didn’t significantly impact editing, despite those articles being less “optimally interesting” according to the recommendation algorithm. In this presentation, I will describe our experiment, our results, and their implications - including how recommender systems can be one useful strategy for tackling content gaps on Wikipedia.Bridging the offline and online- Offline meetings of WikipediansBy *Nicole Schwitter*Wikipedia is primarily known as an online encyclopaedia, but it also features a noteworthy offline component: Wikipedia and particularly its German-language edition – which is one of the largest and most active language versions – is characterised by regular local offline meetups which give editors the chance to get to know each other. This talk will present the recently published dewiki meetup dataset which covers (almost) all offline gatherings organised on the German-language version of Wikipedia. The dataset covers almost 20 years of offline activity of the German-language Wikipedia, containing 4418 meetups that have been organised with information on attendees, apologies, date and place of meeting, and minutes recorded. The talk will explain how the dataset can be used for research, highlight the importance of considering offline meetings among Wikipedians, and place these insights within the context of addressing gender gaps within Wikipedia. Best, Kinneret -- Kinneret Gordon Lead Research Community Officer Wikimedia Foundation <https://wikimediafoundation.org/> ___ Wiki-research-l mailing list -- wiki-research-l@lists.wikimedia.org To unsubscribe send an email to wiki-research-l-le...@lists.wikimedia.org
[Wiki-research-l] The Wikimedia Foundation Research Award of the Year - Call for Nominations
Hi all, We invite you to nominate one or more scholarly research publications to be considered for the Wikimedia Foundation Research Award of the Year. Learn more below. =Purpose of the award= Recognize recent research on or about the Wikimedia projects or recent research that is of importance to the Wikimedia projects. Recognize the researchers behind the research. You can learn more about previous winners at https://research.wikimedia.org/awards.html. =Eligibility criteria= Your nomination must meet the following criteria: * The research must be on, about, using data from, and/or of importance to Wikipedia, Wikidata, Wikisource, Wikimedia Commons or other Wikimedia projects. * The publication must be available in English. * The research must have been published between January 1, 2023 and December 31, 2023. =Nomination process= Submit your nominations by April 18, 2024 through https://openreview.net/group?id=wikimedia foundation.org/Wikimedia/2023/RAY. <https://openreview.net/group?id=wikimediafoundation.org/Wikimedia/2023/RAY=%5BHomepage%5D(%2F)#tab-your-consoles> We will ask you to provide the following information in your nomination: * Title of the manuscript * A copy of the manuscript you are nominating * A summary of the research and a clear justification for why the work merits the award (in 350 words or fewer in English). Note that self-nominations and nominations of others' work are both welcome. ==Winner(s)== The winner(s) will be announced in a ceremony as part of Wiki Workshop 2024, scheduled to take place virtually on June 20, 2024. If you have any questions, please email kgordon(a)wikimedia.org Warm regards, Kinneret, on behalf of the WMF RAY organizing team -- Kinneret Gordon Lead Research Community Officer Wikimedia Foundation <https://wikimediafoundation.org/> ___ Wiki-research-l mailing list -- wiki-research-l@lists.wikimedia.org To unsubscribe send an email to wiki-research-l-le...@lists.wikimedia.org
[Wiki-research-l] Re: [Wikimedia Research Showcase] Addressing Knowledge Gaps - March 20, 16:30 UTC
Hello all, Quick reminder that we will be starting in less than an hour. Join us at https://www.youtube.com/watch?v=D6wrr9WShTk. On Fri, Mar 15, 2024 at 6:19 PM Kinneret Gordon wrote: > Hi everyone, > > > The next Research Showcase will be live-streamed on Wednesday, March 20, > at 9:30 AM PST / 16:30 UTC. Find your local time here > <https://zonestamp.toolforge.org/1710952200>. In line with Women's > History Month, the theme for this showcase is *Addressing Knowledge Gaps*. > > You are welcome to watch via the YouTube stream: > https://www.youtube.com/watch?v=D6wrr9WShTk. As usual, you can join the > conversation in the YouTube chat as soon as the showcase goes live. > > This month's presentation: > Leveraging Recommender Systems to Reduce Content Gaps on WikipediaBy *Mo > Houtti*Many Wikipedians use algorithmic recommender systems to help them > find interesting articles to edit. The algorithms underlying those systems > are driven by a straightforward assumption: we can look at what someone > edited in the past to figure out what they’ll most likely want to edit > next. But the story of what Wikipedians want to edit is almost definitely > more complex than that. For example, our own prior research shows that > Wikipedians prefer prioritizing articles that would minimize content gaps. > So, we asked, what would happen if we incorporated that value into > Wikipedians’ personalized recommendations? Through a controlled experiment > on SuggestBot, we found that recommending more content gap articles didn’t > significantly impact editing, despite those articles being less “optimally > interesting” according to the recommendation algorithm. In this > presentation, I will describe our experiment, our results, and their > implications - including how recommender systems can be one useful strategy > for tackling content gaps on Wikipedia.Bridging the offline and online- > Offline meetings of WikipediansBy *Nicole Schwitter*Wikipedia is > primarily known as an online encyclopaedia, but it also features a > noteworthy offline component: Wikipedia and particularly its > German-language edition – which is one of the largest and most active > language versions – is characterised by regular local offline meetups which > give editors the chance to get to know each other. This talk will present > the recently published dewiki meetup dataset which covers (almost) all > offline gatherings organised on the German-language version of Wikipedia. > The dataset covers almost 20 years of offline activity of the > German-language Wikipedia, containing 4418 meetups that have been organised > with information on attendees, apologies, date and place of meeting, and > minutes recorded. The talk will explain how the dataset can be used for > research, highlight the importance of considering offline meetings among > Wikipedians, and place these insights within the context of addressing > gender gaps within Wikipedia. > > > Best, > > Kinneret > > -- > > Kinneret Gordon > > Lead Research Community Officer > > Wikimedia Foundation <https://wikimediafoundation.org/> > > > > ___ Wiki-research-l mailing list -- wiki-research-l@lists.wikimedia.org To unsubscribe send an email to wiki-research-l-le...@lists.wikimedia.org
[Wiki-research-l] [events] Wiki Workshop 2024 - Announcing a new track and a Call for Proposals
Hi everyone, We invite your contributions to the Wiki Workshop Hall, a new track as part of Wiki Workshop 2024 <https://wikiworkshop.org/> which will take place virtually as a standalone event on June 20, 2024 (tentatively 12:00-19:00 UTC). The Hall will be a novel space for Wikimedia researchers and Wikimedia movement members to connect with each other. Through this new track, we aim to provide a dedicated space for learning, exchange of ideas, the spark of curiosity, and community building. We welcome proposals that align with the interactive and collaborative spirit of the Wiki Workshop Hall and look forward to a wide variety of content: experiences and learnings, knowledge pieces, how-tos, open questions, pain points, etc. During the Hall, a breakout room will be set up for each accepted proposal, so that Wiki Workshop attendees can move between rooms to interact with their hosts. *Learn more about the Wiki Workshop Hall at * *https://wikiworkshop.org/2024/call-for-hall* <https://wikiworkshop.org/2024/call-for-hall.html>* and submit your contributions by **April 29, 2024 (23:59 AoE)* <https://www.timeanddate.com/worldclock/converter.html?iso=20240430T115900=tz_aoe> *. * If you have questions about the workshop or about Wiki Workshop Hall, please email wikiworks...@googlegroups.com with a [Wiki Workshop Hall] tag in the subject of your email or comment on this post. Looking forward to seeing many of you in this year's edition. The Wiki Workshop Hall chairs, Pablo Aragón, Wikimedia Foundation Kinneret Gordon, Wikimedia Foundation ___ Wiki-research-l mailing list -- wiki-research-l@lists.wikimedia.org To unsubscribe send an email to wiki-research-l-le...@lists.wikimedia.org
[Wiki-research-l] Re: [events] Wiki Workshop 2024 - Call for Proposals and Office Hours for Wiki Workshop Hall
Hello everyone, We would like to remind you that the deadline for contributions for Wiki Workshop Hall is April 29, 2024. You can submit your proposals in the following link- https://openreview.net/group?id=wikimedia.org/Wiki_Workshop/2024/Hall. Additionally, we will be holding office hours to answer any questions about this new track and the submission process. We invite you to schedule some time on Tuesday, April 16 or Thursday, April 25 in the following link- https://calendar.app.google/igcEC3fqTAF8MRDE7. You can also email us at wikiworks...@googlegroups.com with any questions about the Hall or the Workshop in general. The Wiki Workshop Hall chairs, Pablo Aragón, Wikimedia Foundation Kinneret Gordon, Wikimedia Foundation On Mon, Mar 11, 2024 at 6:22 PM Kinneret Gordon wrote: > Hi everyone, > > > We invite your contributions to the Wiki Workshop Hall, a new track as > part of Wiki Workshop 2024 <https://wikiworkshop.org/> which will take > place virtually as a standalone event on June 20, 2024 (tentatively > 12:00-19:00 UTC). > > The Hall will be a novel space for Wikimedia researchers and Wikimedia > movement members to connect with each other. Through this new track, we aim > to provide a dedicated space for learning, exchange of ideas, the spark of > curiosity, and community building. > > We welcome proposals that align with the interactive and collaborative > spirit of the Wiki Workshop Hall and look forward to a wide variety of > content: experiences and learnings, knowledge pieces, how-tos, open > questions, pain points, etc. During the Hall, a breakout room will be set > up for each accepted proposal, so that Wiki Workshop attendees can move > between rooms to interact with their hosts. > > *Learn more about the Wiki Workshop Hall at * > *https://wikiworkshop.org/2024/call-for-hall* > <https://wikiworkshop.org/2024/call-for-hall>* and submit your > contributions by **April 29, 2024 (23:59 AoE)* > <https://www.timeanddate.com/worldclock/converter.html?iso=20240430T115900=tz_aoe> > *. * > > If you have questions about the workshop or about Wiki Workshop Hall, > please email wikiworks...@googlegroups.com with a [Wiki Workshop Hall] > tag in the subject of your email or comment on this post. > > > Looking forward to seeing many of you in this year's edition. > > > The Wiki Workshop Hall chairs, > > Pablo Aragón, Wikimedia Foundation > > Kinneret Gordon, Wikimedia Foundation > ___ Wiki-research-l mailing list -- wiki-research-l@lists.wikimedia.org To unsubscribe send an email to wiki-research-l-le...@lists.wikimedia.org
[Wiki-research-l] Re: [Wikimedia Research Showcase] Supporting Multimedia on Wikipedia - April 17, 16:30 UTC
Hi everyone, This month's showcase focused on *supporting multimedia on Wikipedia* will start in about 45 minutes. Please join us at https://www.youtube.com/watch?v=wpSQD9Bc8Ek. On Tue, Apr 16, 2024 at 8:25 AM Kinneret Gordon wrote: > Hi everyone, > > > The next Research Showcase will be live-streamed tomorrow Wednesday, > April 17, at 9:30 AM PST / 16:30 UTC. Find your local time here. The > theme for this showcase is Supporting Multimedia on Wikipedia. > > You are welcome to watch via the YouTube stream: > https://www.youtube.com/watch?v=wpSQD9Bc8Ek. As usual, you can join > the conversation in the YouTube chat as soon as the showcase goes > live. > > This month's presentations: > > Towards image accessibility solutions grounded in communicative principles > > By Elisa Kreiss > > Images have become an omnipresent communicative tool -- and this is no > exception on Wikipedia. However, the undeniable benefits they carry > for sighted communicators turns into a serious accessibility challenge > for people who are blind or have low vision (BLV). BLV users often > have to rely on textual descriptions of those images to equally > participate in an ever-increasing image-dominated online lifestyle. In > this talk, I will present how framing accessibility as a communication > problem highlights important ways forward in redefining image > accessibility on Wikipedia. I will present the Wikipedia-based dataset > Concadia and use it to discuss the successes and shortcomings of image > captions and alt texts for accessibility, and how the usefulness of > accessibility descriptions is fundamentally contextual. I will > conclude by highlighting the potential and risks of AI-based solutions > and discussing implications for different Wikipedia editing > communities. > > > Automatic Multi-Path Web Story Creation from a Structural Article > > By Daniel Nkemelu > > Web articles such as Wikipedia serve as one of the major sources of > knowledge dissemination and online learning. However, their in-depth > information--often in a dense text format--may not be suitable for > mobile browsing, even in a responsive user interface. We propose an > automatic approach that converts a structured article of any length > into a set of interactive Web Stories that are ideal for mobile > experiences. We focused on Wikipedia articles and developed > Wiki2Story, a pipeline based on language and layout models, to > demonstrate the concept. Wiki2Story dynamically slices an article and > plans one to multiple Story paths according to the document hierarchy. > For each slice, it generates a multi-page summary Story composed of > text and image pairs in visually appealing layouts. We derived design > principles from an analysis of manually created Story practices. We > executed our pipeline on 500 Wikipedia documents and conducted user > studies to review selected outputs. Results showed that Wiki2Story > effectively captured and presented salient content from the original > articles and sparked interest in viewers. > > > -- > > Kinneret Gordon > > Lead Research Community Officer > > Wikimedia Foundation > ___ Wiki-research-l mailing list -- wiki-research-l@lists.wikimedia.org To unsubscribe send an email to wiki-research-l-le...@lists.wikimedia.org
[Wiki-research-l] [Wikimedia Research Showcase] Supporting Multimedia on Wikipedia - April 17, 16:30 UTC
Hi everyone, The next Research Showcase will be live-streamed tomorrow Wednesday, April 17, at 9:30 AM PST / 16:30 UTC. Find your local time here. The theme for this showcase is Supporting Multimedia on Wikipedia. You are welcome to watch via the YouTube stream: https://www.youtube.com/watch?v=wpSQD9Bc8Ek. As usual, you can join the conversation in the YouTube chat as soon as the showcase goes live. This month's presentations: Towards image accessibility solutions grounded in communicative principles By Elisa Kreiss Images have become an omnipresent communicative tool -- and this is no exception on Wikipedia. However, the undeniable benefits they carry for sighted communicators turns into a serious accessibility challenge for people who are blind or have low vision (BLV). BLV users often have to rely on textual descriptions of those images to equally participate in an ever-increasing image-dominated online lifestyle. In this talk, I will present how framing accessibility as a communication problem highlights important ways forward in redefining image accessibility on Wikipedia. I will present the Wikipedia-based dataset Concadia and use it to discuss the successes and shortcomings of image captions and alt texts for accessibility, and how the usefulness of accessibility descriptions is fundamentally contextual. I will conclude by highlighting the potential and risks of AI-based solutions and discussing implications for different Wikipedia editing communities. Automatic Multi-Path Web Story Creation from a Structural Article By Daniel Nkemelu Web articles such as Wikipedia serve as one of the major sources of knowledge dissemination and online learning. However, their in-depth information--often in a dense text format--may not be suitable for mobile browsing, even in a responsive user interface. We propose an automatic approach that converts a structured article of any length into a set of interactive Web Stories that are ideal for mobile experiences. We focused on Wikipedia articles and developed Wiki2Story, a pipeline based on language and layout models, to demonstrate the concept. Wiki2Story dynamically slices an article and plans one to multiple Story paths according to the document hierarchy. For each slice, it generates a multi-page summary Story composed of text and image pairs in visually appealing layouts. We derived design principles from an analysis of manually created Story practices. We executed our pipeline on 500 Wikipedia documents and conducted user studies to review selected outputs. Results showed that Wiki2Story effectively captured and presented salient content from the original articles and sparked interest in viewers. -- Kinneret Gordon Lead Research Community Officer Wikimedia Foundation ___ Wiki-research-l mailing list -- wiki-research-l@lists.wikimedia.org To unsubscribe send an email to wiki-research-l-le...@lists.wikimedia.org
[Wiki-research-l] Re: The Wikimedia Foundation Research Award of the Year - Call for Nominations
Hello everyone, This is a friendly reminder to submit your nominations for the WMF Research Award of the Year by* April 18, 2024* through https://openreview.net/group?id=wikimediafoundation.org/Wikimedia/2023/RAY=%5BHomepage%5D(%2F)#tab-your-consoles . More information on the award and nomination process can be found in the email below. Best, Kinneret On Thu, Mar 14, 2024 at 6:52 PM Kinneret Gordon wrote: > Hi all, > > > We invite you to nominate one or more scholarly research publications to > be considered for the Wikimedia Foundation Research Award of the Year. > Learn more below. > > > =Purpose of the award= > > > Recognize recent research on or about the Wikimedia projects or recent > research that is of importance to the Wikimedia projects. Recognize the > researchers behind the research. > > > You can learn more about previous winners at > https://research.wikimedia.org/awards.html. > > > =Eligibility criteria= > > > Your nomination must meet the following criteria: > > > * The research must be on, about, using data from, and/or of importance to > Wikipedia, Wikidata, Wikisource, Wikimedia Commons or other Wikimedia > projects. > > > * The publication must be available in English. > > > * The research must have been published between January 1, 2023 and > December 31, 2023. > > > =Nomination process= > > > Submit your nominations by April 18, 2024 through > https://openreview.net/group?id=wikimedia > foundation.org/Wikimedia/2023/RAY. > <https://openreview.net/group?id=wikimediafoundation.org/Wikimedia/2023/RAY=%5BHomepage%5D(%2F)#tab-your-consoles> > We will ask you to provide the following information in your nomination: > > > * Title of the manuscript > > * A copy of the manuscript you are nominating > > * A summary of the research and a clear justification for why the work > merits the award (in 350 words or fewer in English). > > > Note that self-nominations and nominations of others' work are both > welcome. > > > ==Winner(s)== > > > The winner(s) will be announced in a ceremony as part of Wiki Workshop > 2024, scheduled to take place virtually on June 20, 2024. > > > If you have any questions, please email kgordon(a)wikimedia.org > > > Warm regards, > > Kinneret, on behalf of the WMF RAY organizing team > > -- > > Kinneret Gordon > > Lead Research Community Officer > > Wikimedia Foundation <https://wikimediafoundation.org/> > > > > ___ Wiki-research-l mailing list -- wiki-research-l@lists.wikimedia.org To unsubscribe send an email to wiki-research-l-le...@lists.wikimedia.org
[Wiki-research-l] [Event] Wiki Workshop- Registration Open!
Hi all, *Registration for Wiki Workshop 2024 is now open [1]!* The event will be virtually held on *June 20, 12:00-18:30 UTC*. Wiki Workshop [2] is the largest Wikimedia research event of the year and brings together scholars and researchers from across the world who are interested in or are actively engaged with research and development on the Wikimedia projects. We are putting together an engaging program and we will be posting updates in the coming weeks on the Wiki Workshop website [2]. This year we will have a Research Track with presentations and discussions of ongoing and published work on Wikimedia projects, as well as a new track called Wiki Workshop Hall [3] which will be a space for Wikimedia Movement Members to connect with Wikimedia Researchers. Our keynote speaker is Brent Hecht [4], Director of Applied Science at Microsoft, and of course we will also have all the music, games, and fun things we are all used to from previous workshops :) If you are interested in participating in the live event, please register on Pretix [1]. Anyone is encouraged to register: you don't have to be a researcher! If you have questions, please don't hesitate to reach out. Best, Kinneret [1] https://pretix.eu/wikimedia/wikiworkshop2024/ [2] https://wikiworkshop.org/ [3] https://diff.wikimedia.org/2024/03/11/inviting-proposals-to-wiki-workshop-hall-a-novel-space-for-connecting-wikimedia-researchers-and-wikimedia-movement-members/ [4] https://wikiworkshop.org/#contributors -- Kinneret Gordon Lead Research Community Officer Wikimedia Foundation <https://wikimediafoundation.org/> ___ Wiki-research-l mailing list -- wiki-research-l@lists.wikimedia.org To unsubscribe send an email to wiki-research-l-le...@lists.wikimedia.org
[Wiki-research-l] [Wikimedia Research Showcase] May 15 at 16:30 UTC
Hi all, The next Research Showcase will be live-streamed tomorrow, Wednesday, May 15, at 9:30 AM PST / 16:30 UTC. Find your local time here <https://zonestamp.toolforge.org/1715790600>. The theme for this showcase is *Reader to Editor Pipeline*. You are welcome to watch via the YouTube stream: https://www.youtube.com/watch?v=G-8CbpcwGV8. As usual, you can join the conversation in the YouTube chat as soon as the showcase goes live. This month's presentations: Journey TransitionsBy *Mike Raish and Daisy Chen*What kinds of events do readers and editors identify as separating the stages of their relationship with Wikipedia, and which of these kinds of events might the Wikimedia Foundation possibly support through design interventions? In the Journey Transitions qualitative research project, the WMF Design Research team interviewed readers and editors in Arabic, Spanish, and English in order to answer these questions and provide guidance to WMF Product teams making strategic decisions. A series of semi-structured interviews revealed that readers and editors describe their relationships with Wikipedia in different ways, with readers describing a static and transactional relationship, and that even many experienced editors express confusion about core functions of the Wikimedia ecosystem, such as the role of Talk pages. This presentation will describe the Journey Transitions research, as well as present its implications for the sponsoring Product teams in order to shed light on the way that qualitative research is used to inform strategic decisions in the Wikimedia Foundation. Increasing participation in peer production communities with the Growth featuresBy *Morten Warncke-Wang and Kirsten Stoller*For peer production communities to be sustainable, they must attract and retain new contributors. Studies have identified social and technical barriers to entry and discovered some potential solutions, but these solutions have typically focused on a single highly successful community, the English Wikipedia, been tested in isolation, and rarely evaluated through controlled experiments. In this talk, we show how the Wikimedia Foundation’s Growth team collaborates with Wikipedia communities to develop and experiment with new features to improve the newcomer experience in Wikipedia. We report findings from a large-scale controlled experiment using the Newcomer Homepage, a central place where newcomers can learn how peer production works and find opportunities to contribute, and show how the effectiveness depends on the newcomer’s context. Lastly, we show how the Growth team has continued developing features that further improve the newcomer experience while adapting to community needs. Best,Kinneret -- Kinneret Gordon Lead Research Community Officer Wikimedia Foundation <https://wikimediafoundation.org/> ___ Wiki-research-l mailing list -- wiki-research-l@lists.wikimedia.org To unsubscribe send an email to wiki-research-l-le...@lists.wikimedia.org
[Wiki-research-l] Re: [Wikimedia Research Showcase] May 15 at 16:30 UTC
Hi all, We'll be starting in about 30 minutes. Please join us at https://www.youtube.com/watch?v=G-8CbpcwGV8. On Tue, May 14, 2024 at 11:26 AM Kinneret Gordon wrote: > Hi all, > > The next Research Showcase will be live-streamed tomorrow, Wednesday, May > 15, at 9:30 AM PST / 16:30 UTC. Find your local time here > <https://zonestamp.toolforge.org/1715790600>. The theme for this showcase > is *Reader to Editor Pipeline*. > > You are welcome to watch via the YouTube stream: > https://www.youtube.com/watch?v=G-8CbpcwGV8. As usual, you can join the > conversation in the YouTube chat as soon as the showcase goes live. > > This month's presentations: > Journey TransitionsBy *Mike Raish and Daisy Chen*What kinds of events do > readers and editors identify as separating the stages of their relationship > with Wikipedia, and which of these kinds of events might the Wikimedia > Foundation possibly support through design interventions? In the Journey > Transitions qualitative research project, the WMF Design Research team > interviewed readers and editors in Arabic, Spanish, and English in order to > answer these questions and provide guidance to WMF Product teams making > strategic decisions. A series of semi-structured interviews revealed that > readers and editors describe their relationships with Wikipedia in > different ways, with readers describing a static and transactional > relationship, and that even many experienced editors express confusion > about core functions of the Wikimedia ecosystem, such as the role of Talk > pages. This presentation will describe the Journey Transitions research, as > well as present its implications for the sponsoring Product teams in order > to shed light on the way that qualitative research is used to inform > strategic decisions in the Wikimedia Foundation. > Increasing participation in peer production communities with the Growth > featuresBy *Morten Warncke-Wang and Kirsten Stoller*For peer production > communities to be sustainable, they must attract and retain new > contributors. Studies have identified social and technical barriers to > entry and discovered some potential solutions, but these solutions have > typically focused on a single highly successful community, the English > Wikipedia, been tested in isolation, and rarely evaluated through > controlled experiments. In this talk, we show how the Wikimedia > Foundation’s Growth team collaborates with Wikipedia communities to develop > and experiment with new features to improve the newcomer experience in > Wikipedia. We report findings from a large-scale controlled experiment > using the Newcomer Homepage, a central place where newcomers can learn how > peer production works and find opportunities to contribute, and show how > the effectiveness depends on the newcomer’s context. Lastly, we show how > the Growth team has continued developing features that further improve the > newcomer experience while adapting to community needs. > Best,Kinneret > > -- > > Kinneret Gordon > > Lead Research Community Officer > > Wikimedia Foundation <https://wikimediafoundation.org/> > > > > ___ Wiki-research-l mailing list -- wiki-research-l@lists.wikimedia.org To unsubscribe send an email to wiki-research-l-le...@lists.wikimedia.org
