Wiki-research-l October 2018

wiki-research-l@lists.wikimedia.org

20 participants
15 discussions

Wikipedia Research policy
by song＠cs.umn.edu 14 Jul '23

14 Jul '23

Pursuant to prior discussions about the need for a research policy on Wikipedia, WikiProject Research is drafting a policy regarding the recruitment of Wikipedia users to participate in studies. At this time, we have a proposed policy, and an accompanying group that would facilitate recruitment of subjects in much the same way that the Bot Approvals Group approves bots. The policy proposal can be found at: http://en.wikipedia.org/wiki/Wikipedia:Research The Subject Recruitment Approvals Group mentioned in the proposal is being described at: http://en.wikipedia.org/wiki/Wikipedia:Subject_Recruitment_Approvals_Group Before we move forward with seeking approval from the Wikipedia community, we would like additional input about the proposal, and would welcome additional help improving it. Also, please consider participating in WikiProject Research at: http://en.wikipedia.org/wiki/Wikipedia:WikiProject_Research -- Bryan Song GroupLens Research University of Minnesota

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Upcoming move of users from stat1005 to stat1007
by Luca Toscano 20 Nov '18

20 Nov '18

Hi everybody, as part of https://phabricator.wikimedia.org/T205846 we are going to ask to all the stat1005's users to move to stat1007 during the next two weeks. The deadline is November 14th, by which time ssh access to stat1005 will be removed. Background: on stat1005 we have a GPU (more details in https://phabricator.wikimedia.org/T148843) that has been sitting there for almost two years, and it would be great to try to make it work during the next months. This effort will require a lot of tests/reboots/etc.. that can of course impact ongoing work of all of you, so we prefer to move everybody to another identical machine beforehand. Please reach out to me or to the analytics team in T205846 or IRC (#wikimedia-analytics on Freenode) if you have any questions/doubts/blocker/etc.., we are not going to enforce the deadline if anybody will raise concerns or blockers of course. It would be great to move everybody by Nov 14th but we surely don't want to disrupt any ongoing important work. I am going to update the Wikitech documentation about stat1005 and stat1007 as soon as possible, for the moment keep in mind that stat1007 will take over completely everything that stat1005 currently does. I have already copied over all the stat1005 directories to stat1007, and I'll periodically sync them during the following days. If you don't find anything important, please add a note in T205846. Thanks a lot and sorry for the trouble, Luca (on behalf of the Analytics team)

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New Research Project - Open for comment
by Andrea Forte 27 Oct '18

27 Oct '18

Hi all, as part of a larger project, we are running a small think-aloud study to better understand how editors use current interface features and tools to identify "suspicious" edits (either suspected vandalism or red flags for bias, that kind of thing). Just posting for comment at this point before we submit our IRB documentation. Also happy to hear about existing research we may have missed! https://meta.wikimedia.org/wiki/Research:Understanding_Content_Review_Pract… Andrea -- :: Andrea Forte :: Associate Professor :: College of Computing and Informatics, Drexel University :: http://www.andreaforte.net

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Upcoming Research Newsletter: New Papers Open For Review
by Mohammed Sadat Abdulai 23 Oct '18

23 Oct '18

Hi everyone, We’re preparing for the October 2018 research newsletter and looking for contributors. Please take a look at https://etherpad.wikimedia.org/p/WRN201810 and add your name next to any paper you are interested in covering. Our target publication date is on October 28 UTC although actual publication might happen several days later. As usual, short notes and one-paragraph reviews are most welcome. Highlights from this month: - Deliberation and Resolution on Wikipedia: A Case Study of Requests for Comments - Indigenizing Wikipedia: Student Accountability to Native American Authors on the World’s Largest Encyclopedia - Population preferences through Wikipedia edits - Schema Inference on Wikidata - Studying the Effect of Network Position on Efficiency: : A Case of Affiliation Network Featured Article Promotion - Volunteer Retention, Burnout and Dropout in Online Voluntary Organizations: Stress, Conflict and Retirement of Wikipedians - Welcome' Changes? Descriptive and Injunctive Norms in a Wikipedia Sub-Community - Wikidata: A New Paradigm of Human-Bot Collaboration? - World Influence of Infectious Diseases from Wikipedia Network Analysis Masssly, Tilman Bayer and Dario Taraborelli [1] http://meta.wikimedia.org/wiki/Research:Newsletter

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question - Psychiatry studies
by Juliana Bastos Marques 19 Oct '18

19 Oct '18

Hi all. Does anybody know any studies about mental health of participants in collective, horizontal collaboration environments? Thank you, Juliana -- www.domusaurea.org

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URL-addressable Predicate Calculus
by Adam Sobieski 18 Oct '18

18 Oct '18

I would like to share, for discussion, some knowledge representation ideas with respect to a URL-addressable predicate calculus. In the following examples, we can use the prefix “mw” for “https://machine.wikipedia.org/” as per xmlns:mw="https://machine.wikipedia.org/" . mw:P1 → https://machine.wikipedia.org/P1 mw:P1(arg0, arg1, arg2) → https://machine.wikipedia.org/P1?A0=arg0&A1=arg1&A2=arg2 mw:P2 → https://machine.wikipedia.org/P2 mw:P2<t0, t1, t2> → https://machine.wikipedia.org/P2?T0=t0&T1=t1&T2=t2 mw:P2<t0, t1, t2>(arg0, arg1, arg2) → https://machine.wikipedia.org/P2?T0=t0&T1=t1&T2=t2&A0=arg0&A1=arg1&A2=arg2 Some points: 1. There is a mapping between each predicate calculus expression and a URL. 2. Navigating to mapped-to URLs results in processing on servers, e.g. PHP scripts, which generates outputs. 3. The outputs vary per the content types requested via HTTP request headers. 4. The outputs may also vary per the languages requested via HTTP request headers. 5. Navigating to https://machine.wikipedia.org/P1 generates a definition for a predicate. 6. Navigating to https://machine.wikipedia.org/P2?T0=t0&T1=t1&T2=t2 generates a definition for a predicate after assigning values to the parameters T0, T1, T2. That is, a definition of a predicate is generated by a script, e.g. a PHP script, which may vary its output based on the values for T0, T1, T2. 7. The possible values for T0, T1, T2, A0, A1, A2 may be drawn from the same set. T0, T1, T2 need not be constrained to be types from a type system. 8. The values for T0, T1, T2, A0, A1, A2, that is t0, t1, t2, arg0, arg1, arg2, could also each resolve to URLs. Best regards, Adam Sobieski http://www.phoster.com/contents/

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[Wikimedia Research Showcase] Wednesday October 17, 2018 at 11:30 AM (PST) 18:30 UTC
by Janna Layton 18 Oct '18

18 Oct '18

Hello everyone, The next Research Showcase will be live-streamed this Wednesday, October 17, 2018 at 11:30 AM (PST) 18:30 UTC. YouTube stream: https://www.youtube.com/watch?v=UJrJLWuNvXo As usual, you can join the conversation on IRC at #wikimedia-research. You can also watch our past research showcases here: https://www.mediawiki.or g/wiki/Wikimedia_Research/Showcase This month's presentation: *"Welcome" Changes? Descriptive and Injunctive Norms in a Wikipedia Sub-Community* *By Jonathan T. Morgan, Wikimedia Foundation and Anna Filippova, GitHub* Open online communities rely on social norms for behavior regulation, group cohesion, and sustainability. Research on the role of social norms online has mainly focused on one source of influence at a time, making it difficult to separate different normative influences and understand their interactions. In this study, we use the Focus Theory to examine interactions between several sources of normative influence in a Wikipedia sub-community: local descriptive norms, local injunctive norms, and norms imported from similar sub- communities. We find that exposure to injunctive norms has a stronger effect than descriptive norms, that the likelihood of performing a behavior is higher when both injunctive and descriptive norms are congruent, and that conflicting social norms may negatively impact pro-normative behavior. We contextualize these findings through member interviews, and discuss their implications for both future research on normative influence in online groups and the design of systems that support open collaboration. *The pipeline of online participation inequalities: The case of Wikipedia Editing* *By Aaron Shaw, Northwestern University and Eszter Hargittai, University of Zurich* Participatory platforms like the Wikimedia projects have unique potential to facilitate more equitable knowledge production. However, digital inequalities such as the Wikipedia gender gap undermine this democratizing potential. In this talk, I present new research in which Eszter Hargittai and I conceptualize a "pipeline" of online participation and model distinct levels of awareness and behaviors necessary to become a contributor to the participatory web. We test the theory in the case of Wikipedia editing, using new survey data from a diverse, national sample of adult internet users in the U.S. The results show that Wikipedia participation consistently reflects inequalities of education and internet experiences and skills. We find that the gender gap only emerges later in the pipeline whereas gaps along racial and socioeconomic lines explain variations earlier in the pipeline. Our findings underscore the multidimensionality of digital inequalities and suggest new pathways toward closing knowledge gaps by highlighting the importance of education and Internet skills. We conclude that future research and interventions to overcome digital participation gaps should not focus exclusively on gender or class differences in content creation, but expand to address multiple aspects of digital inequality across pipelines of participation. In particular, when it comes to overcoming gender gaps in the case of Wikipedia, our results suggest that continued emphasis on recruiting female editors should include efforts to disseminate the knowledge that Wikipedia can be edited. Our findings support broader efforts to overcome knowledge- and skill-based barriers to entry among potential contributors to the open web. -- Janna Layton Administrative Assistant - Audiences & Technology Wikimedia Foundation 1 Montgomery St. Suite 1600 San Francisco, CA 94104

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Fwd: [Analytics] Community health metrics kit: Input needed!
by Pine W 13 Oct '18

13 Oct '18

Forwarding a request for input. Pine ( https://meta.wikimedia.org/wiki/User:Pine ) ---------- Forwarded message --------- From: Joe Sutherland <jsutherland(a)wikimedia.org> Date: Fri, Oct 5, 2018 at 9:29 PM Subject: [Analytics] Community health metrics kit: Input needed! To: A mailing list for the Analytics Team at WMF and everybody who has an interest in Wikipedia and analytics. <analytics(a)lists.wikimedia.org> Hello everyone - apologies for cross-posting! *TL;DR*: We would like your feedback on our Metrics Kit project. Please have a look and comment on Meta-Wiki: https://meta.wikimedia.org/wiki/Community_health_initiative/Metrics_kit The Wikimedia Foundation's Trust and Safety team, in collaboration with the Community Health Initiative, is working on a Metrics Kit designed to measure the relative "health"[1] of various communities that make up the Wikimedia movement: https://meta.wikimedia.org/wiki/Community_health_initiative/Metrics_kit The ultimate outcome will be a public suite of statistics and data looking at various aspects of Wikimedia project communities. This could be used by both community members to make decisions on their community direction and Wikimedia Foundation staff to point anti-harassment tool development in the right direction. We have a set of metrics we are thinking about including in the kit, ranging from the ratio of active users to active administrators, administrator confidence levels, and off-wiki factors such as freedom to participate. It's ambitious, and our methods of collecting such data will vary. Right now, we'd like to know: * Which metrics make sense to collect? Which don't? What are we missing? * Where would such a tool ideally be hosted? Where would you normally look for statistics like these? * We are aware of the overlap in scope between this and Wikistats < https://stats.wikimedia.org/v2/#/all-projects> — how might these tools coexist? Your opinions will help to guide this project going forward. We'll be reaching out at different stages of this project, so if you're interested in direct messaging going forward, please feel free to indicate your interest by signing up on the consultation page. Looking forward to reading your thoughts. best, Joe P.S.: Please feel free to CC me in conversations that might happen on this list! [1] What do we mean by "health"? There is no standard definition of what makes a Wikimedia community "healthy", but there are many indicators that highlight where a wiki is doing well, and where it could improve. This project aims to provide a variety of useful data points that will inform community decisions that will benefit from objective data. -- *Joe Sutherland* (he/him or they/them) Trust and Safety Specialist Wikimedia Foundation joesutherland.rocks _______________________________________________ Analytics mailing list Analytics(a)lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/analytics

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Fwd: [Wikidata] Passing on praise/ISWC trip report
by Pine W 13 Oct '18

13 Oct '18

Forwarding some good news. Pine ( https://meta.wikimedia.org/wiki/User:Pine ) ---------- Forwarded message --------- From: Markus Kroetzsch <markus.kroetzsch(a)tu-dresden.de> Date: Sat, Oct 13, 2018 at 12:30 AM Subject: [Wikidata] Passing on praise/ISWC trip report To: Discussion list for the Wikidata project. <wikidata(a)lists.wikimedia.org> Dear all, I am happy to report that we have just won the Best Paper Award of the In-Use track of this year's International Semantic Web Conference (ISWC), for our description of the SPARQL/RDF technology use on Wikidata [1]. I keep telling people here that the general awesomeness of Wikidata is the work of many, and in particular of this great community of editors. Overall, the year's ISWC here in Monterey, CA has surprised Denny and me with the huge uptake that Wikidata gets by now in industry and academia alike, which was a huge breakthrough over last year. An amazing array of people are doing great work based on this data, and again I would like to pass on all the thank you's I have heard over this week to all of you working hard to make this happen. Users range from individual students to major tech companies, and I hope there will be many contributions flowing back to us through these stakeholders. We also have seen an increasing amount of research being done using Wikidata for evaluation and testing, again both in published works and in conversations with people in small and big organisations. Let me also congratulate Fariz Darari, who is not a stranger to this list either, on receiving the Best Dissertation Award of the Semantic Web Science Association for the research that is also behind some of the tools he has been creating for Wikidata. I gave another talk related to Wikidata's ontological modeling, which I hope did not represent the situation all too wrongly [2] ;-). There will be videos of this and the best paper presentation, and most other ISWC talks on VideoLectures in the not-so-far future. Finally, since our best paper is about the use of BlazeGraph as a platform for queries, let me also mention that we have had a number of productive meetings here to discuss the future of this great software (you may know that there were some organisational changes to the team developing this so far). There will be opportunity to contribute to this open source project, either as a developer or in other ways, in the future. Stay tuned for more information on this. So, thanks again to everyone working towards the great success of this project -- amazing work! Greetings from Asilomar Markus [1] Stanislav Malyshev, Markus Krötzsch, Larry González, Julius Gonsior, Adrian Bielefeldt: "Getting the Most out of Wikidata: Semantic Technology Usage in Wikipedia’s Knowledge Graph" Talk slides and paper online: https://iccl.inf.tu-dresden.de/web/Inproceedings3044/en [2] Markus Krötzsch Ontological Modelling in Wikidata Invited keynote at the 9th Workshop on Ontology Design and Patterns (WOP'18) Slides: https://iccl.inf.tu-dresden.de/web/Misc3058/en -- Prof. Dr. Markus Kroetzsch Knowledge-Based Systems Group Center for Advancing Electronics Dresden (cfaed) Faculty of Computer Science TU Dresden +49 351 463 38486 https://kbs.inf.tu-dresden.de/ _______________________________________________ Wikidata mailing list Wikidata(a)lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/wikidata

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Hive and Oozie unavailable for maintenance on Tue Oct 9th 10 AM CEST
by Luca Toscano 10 Oct '18

10 Oct '18

Hi everybody, the Analytics team is going to move the Oozie and Hive daemons from the analytics1003 host to an-coord1001 (new host, hardware refresh) on Tuesday Oct 9th at 10 AM CEST. This will require downtime for Oozie and Hive, so some jobs might fail or not work at all during the maintenance. We have allocated two hours for this procedure but it should require less time. Tracking task: T205509 As always, please follow up with me or anybody in the analytics team for clarifications and/or comments (via Phabricator or IRC Freenode #wikimedia-analytics). Thanks for the patience! Luca (on behalf of the Analytics team)

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Wiki-research-l October 2018