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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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Results from 2018 global Wikimedia survey are published!
by Edward Galvez 05 Oct '18

05 Oct '18

Hi everyone, I'm excited to share that our annual survey about Wikimedia communities is now published! This survey included 170 questions and reaches over 4,000 community members across four audiences: Contributors, Affiliate organizers, Program Organizers, and Volunteer Developers. This survey helps us hear from the experience of Wikimedians from across the movement so that teams are able to use community feedback in their planning and their work. This survey also helps us learn about long term changes in communities, such as community health or demographics. The report is available on meta: https://meta.wikimedia.org/wiki/Community_Engagement_Insights/2018_Report For this survey, we worked with 11 teams to develop the questions. Once the results were analyzed, we spent time with each team to help them understand their results. Most teams have already identified how they will use the results to help improve their work to support you. The report could be useful for your work in the Wikimedia movement as well! What are you learning from the data? Take some time to read the report and share your feedback on the talk pages. We have also published a blog that you can read.[1] We are hosting a livestream presentation[2] on September 20 at 1600 UTC. Hope to see you there! Feel free to email me directly with any questions. All the best, Edward [1] https://wikimediafoundation.org/2018/09/13/what-we-learned-surveying-4000-c… [2] https://www.youtube.com/watch?v=qGQtWFP9Cjc -- Edward Galvez Evaluation Strategist, Surveys Learning & Evaluation Community Engagement Wikimedia Foundation -- Edward Galvez Evaluation Strategist, Surveys Learning & Evaluation Community Engagement Wikimedia Foundation

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[Analytics] Beeline as Hive client
by Madhumitha Viswanathan 03 Oct '18

03 Oct '18

Hi all, For all Hive users using stat1002/1004, you might have seen a deprecation warning when you launch the hive client - that claims it's being replaced with Beeline. The Beeline shell has always been available to use, but it required supplying a database connection string every time, which was pretty annoying. We now have a wrapper <https://github.com/wikimedia/operations-puppet/blob/production/modules/role…> script setup to make this easier. The old Hive CLI will continue to exist, but we encourage moving over to Beeline. You can use it by logging into the stat1002/1004 boxes as usual, and launching `beeline`. There is some documentation on this here: https://wikitech.wikimedia.org/wiki/Analytics/Cluster/Beeline. If you run into any issues using this interface, please ping us on the Analytics list or #wikimedia-analytics or file a bug on Phabricator <http://phabricator.wikimedia.org/tag/analytics>. (If you are wondering stat1004 whaaat - there should be an announcement coming up about it soon!) Best, --Madhu :)

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Wikipedia research on "productivity"
by Alex Yarovoy 02 Oct '18

02 Oct '18

I'm working on a research paper and one of the reviewers has commented that "There is even a Wikipedia measure called productivity, which is essentially the amount of text produced over time less the reverted text" Anybody familiar with that metric of "productivity"? Any pointers would be greatly appreciated. Thanks in advance, Ofer

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Job offers at the Max Planck Institute for Demographic Research, Rostock, Germany
by Gosselck, Antje 02 Oct '18

02 Oct '18

Dear Sir or Madame, The Max Planck Institute for Demographic Research, Rostock, Germany, offers several positions for post-docs and scientists in the departments of our directors, Emilio Zagheni and Mikko Myrskylae: https://www.demogr.mpg.de/en/education_career/jobs_fellowships_1910/post_do… https://www.demogr.mpg.de/en/education_career/jobs_fellowships_1910/post_do… We would highly appreciate it, if you could kindly post these job ads your website and distribute them to your friends and colleagues. Thanks a lot! Have a great day! With best regards, Antje Gosselck Max Planck Institute for Demographic Research Konrad-Zuse-Str. 1 D-18057 Rostock Germany http://www.demogr.mpg.de mailto:gosselck@demogr.mpg.de Tel. +49 (0) 381 / 2081 108 Fax +49 (0) 381 / 2081 408 ---------- This mail has been sent through the MPI for Demographic Research. Should you receive a mail that is apparently from a MPI user without this text displayed, then the address has most likely been faked. If you are uncertain about the validity of this message, please check the mail header or ask your system administrator for assistance.

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Research about how to measure the effectiveness of user blocks
by Sydney Poore 02 Oct '18

02 Oct '18

The Community health initiative is starting a project to measure the effectiveness of blocks. The first step is to discuss with the wikimedia community ideas about how to do it. To that end, the Anti-Harassment Tools team and Morten Warncke-Wang have created space to discuss research ideas about user blocks. https://meta.wikimedia.org/wiki/Community_health_initiative/Measuring_the_e… AHT is particularly interested to learn whether the new partial blocks feature is successful as a ''tool or instrument''. Therefore, the first part of this research will mainly focused on the short term gains in the utility of partial blocks in order to understand whether it appears to be working and if there appears to be a need for changes. These measurements will provide us with insight quickly. Currently there is not much known about how sitewide blocks affect users. This makes a comparison of the effects of the new partial block feature to sitewide blocks difficult. To provide all of us with some insight, the Anti-Harassment Tools team would like to examine historical block data across wikimedia projects to establish a baseline. However, our list of measurements that we propose has a lot of longer term ones, e.g. surveys. These are important and should be considered to be implemented later, because they can provide all of us with insight that is otherwise hidden. Please on wiki to discuss these ideas and your ideas. https://meta.wikimedia.org/wiki/Talk:Community_health_initiative/Measuring_… For the Anti-Harassment Tools team and [[User:MWang (WMF)|Morten Warncke-Wang]]. Sydney Poore

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#SMSociety CFP: 2019 INTERNATIONAL CONFERENCE on SOCIAL MEDIA & SOCIETY (Toronto, July 19-21, 2019)
by agruzd＠gmail.com 30 Sep '18

30 Sep '18

INTERNATIONAL CONFERENCE ON SOCIAL MEDIA AND SOCIETY Toronto, Canada (JULY 19-21, 2019) THEME: Rethinking Privacy and Trust in the Social Media Age IMPORTANT DATES Full papers (6-10 pages) Due: Jan. 28, 2019 WIP papers (1000-word extended abstract) Due: Jan. 28, 2019 Panels, Workshops, & Posters Due: Mar. 18, 2019 PUBLISHING OPPORTUNITIES Full papers presented at the Conference will be published in the conference proceedings by ACM International Conference Proceeding Series (ICPS) and will be available in the ACM Digital Library. All conference presenters will be invited to submit their work as a full paper to the special issue of the Social Media + Society journal (published by SAGE). SUBMISSION DETAILS: http://socialmediaandsociety.org/submit/ ABOUT THE CONFERENCE The <http://socialmediaandsociety.org/> International Conference on Social Media & Society (#SMSociety <http://socialmediaandsociety.org/> ) is an annual gathering of leading social media researchers from around the world. Now, in its 10th year, the 2019 conference is being held in Toronto, Canada from July 19 to 21. From its inception, the conference has focused on the best practices for studying the impact and implications of social media on society. Organized by the Social Media Lab <http://socialmedialab.ca/> at Ted Rogers School of Management <https://www.ryerson.ca/tedrogersschool/> at Ryerson University <https://www.ryerson.ca/> , the conference provides participants with opportunities to exchange ideas, present original research, learn about recent and ongoing studies, and network with peers. The conference's intensive three-day program features hands-on workshops, full papers, work-in-progress papers, panels, and posters. The wide-ranging topics in social media showcase research from scholars working in many fields including Management, Communication, Computer Science, Education, Journalism, Information Science, Political Science, and Sociology. CONFERENCE THEME: Rethinking Privacy and Trust in the Social Media Age Can we trust what we hear and see on social media? For a time, social media was viewed as a net positive for society. In their 2013 book, The New Digital Age, Google's Jared Cohen and Eric Schmidt wrote:"Never before have so many people been connected through an instantly responsive network." In 2015, Mark Zuckerberg, the co-founder and CEO of Facebook, wrote a glowing endorsement of the internet and social media calling it "a force for peace in the world." He argued that connecting people through social media would help to bring about a "shared understanding" of the human condition and build a "common global community." Fast forward to 2018, social media is now embroiled in a series of ongoing public scandals involving data abuse and misuse-with the most infamous scandal involving the UK data analytics firm Cambridge Analytica. More troubling is fact that social media has emerged as fertile ground for fostering anti-social behaviour and is an important vector for disinformation, misinformation, and manipulation operations. These realities have further raised users' privacy concerns and challenged public trust in social media, which has resulted in a revitalized call for new legislation and regulation. Considering this context, the <http://socialmediaandsociety.org/> International Conference on Social Media & Society invites scholarly and original submissions that explore key questions and central issues related (but not limited) to the 2019 theme of "Rethinking Privacy and Trust in the Social Media Age." We welcome research from a wide range of methodological perspectives employing established quantitative, qualitative, and mixed methods as well as innovative approaches that cross interdisciplinary boundaries and expands our understanding of the current and future trends in social media research, especially research that seeks to explore: * What does 'privacy' and 'trust' mean in the social media age? * How can researchers study and operationalize these constructs? * What is the relationship between users' trust in social media platforms, their privacy concerns, and their social media adoption and use? * What are privacy protective technologies that can help to rebuild users' trust in social media? * Can and how AI-based applications help to rebuild trust in social media and improve the credibility of social media content? * How does social media manipulation affect political trust and tolerance? * How is social media being used to help build and strengthen trust in political, economic, social and cultural realms of society? * What roles do alternative social networking services-such as Diaspora, Mastodon, and Gab.ai-play in the current social media environment where hashtag campaigns-such as #DeleteFacebook, #MAGA and #MeToo-have become prevalent? * What theoretical and methodological tools can researchers rely on for ethical and privacy-protective collection, analysis, and sharing of social media datasets? * What are the consequences of data regulations such as GDPR (General Data Protection Regulation) on the industry and users? Are these regulations effective? * What are emerging successful user engagement models for governments, journalists, financial institutions, marketers, and others in today's social media landscape? * What is the future of social media research without APIs? * How can we measure authentic (or organic) user engagement while properly accounting for bot-driven (or paid) interactions? * How does algorithmic architecture influence how we discover and interact with others? * What is the role of algorithms played in creating divisive culture in social media? * What are the ethical concerns of algorithms (inclusion, accessibility, discrimination, bots) and how to mitigate them? TOPICS OF INTEREST Social Media Impact on Society * Privacy * Trust & credibility * Political mobilization & engagement * Extremism & terrorism * Politics of hate and oppression * Health and well-being Social Media & Business * Brand communities * Influencer & marketing * Public & customer relations * Cybervetting and HR * Risk management Social Media & Public Sector * Government social media management * Adoption, use, strategies and policies * Trust towards public agencies * Citizens' engagement * Citizens' privacy & security concerns Social Media & Academia * Alternative metrics * Learning analytics * Teaching with social media * University branding Online/Offline Communities * Online community detection * Influential user detection * Identity and anonymity * Case studies Social Media & Mobile * Appification of society * Privacy & security issues in a mobile world * Encrypted messaging apps * Fake news & misinformation Theories & Methods * Qualitative approaches * Quantitative approaches * Mixed methods * Opinion mining & sentiment analysis * Social network analysis * Theoretical models Big & Small Data * Value of small data * Data mining and analytics * Sampling issues * Visualization * Scalability issues ORGANIZING COMMITTEE * Anatoliy Gruzd, Ryerson University, Canada - Conference Chair * Priya Kumar, Ryerson University, Canada - Conference Chair * Philip Mai, Ryerson University, Canada - Conference Chair * Jenna Jacobson, Ryerson University, Canada - Full Paper Chair * Raquel Recuero, Universidade Federal de Pelotas (UFPel), Brazil - Full Paper Chair * Hazel Kwon, Arizona State University, USA - WIP Chair * Jeff Hemsley, Syracuse University, USA - WIP Chair * Anabel Quan-Haase, Western University, Canada - Panel Chair * Luke Sloan, Cardiff University, UK - Panel Chair * Jaigris Hodson, Royal Roads University, Canada - Poster Chair ADVISORY BOARD * Susan Halford, University of Southampton, UK * Caroline Haythornthwaite, Syracuse University, USA * Zizi Papacharissi, University of Illinois at Chicago, USA * Barry Wellman, INSNA Founder, The NetLab Network, Canada

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Re: [Wiki-research-l] [Wikidata] Semantic annotation of red links on Wikipedia
by Diego Saez-Trumper 27 Sep '18

27 Sep '18

Hi, Kateryna is working on this: https://meta.wikimedia.org/wiki/Research:Matching_Red_Links_with_Wikidata_I… Please ping or write in the discussion page if you want to know more o give ideas about this. Best, Diego Date: Tue, 25 Sep 2018 16:40:06 +0300 > From: 80hnhtv4agou(a)bk.ru > To: Discussion list for the Wikidata project > <wikidata(a)lists.wikimedia.org> > Cc: wikidata-bugs <wikidata-bugs(a)lists.wikimedia.org>, Wikitech - l > <wikitech-l(a)lists.wikimedia.org>, wikimedia - l > <wikimedia-l(a)lists.wikimedia.org>, wikidata-tech > <wikidata-tech(a)lists.wikimedia.org>, wiki-research - l > <wiki-research-l(a)lists.wikimedia.org> > Subject: Re: [Wiki-research-l] [Wikidata] Semantic annotation of red > links on Wikipedia > Message-ID: <1537882806.518826391(a)f478.i.mail.ru> > Content-Type: text/plain; charset=utf-8 > > > All that red makes the page look bad, and i would like to point out the > abuse factor here, all those red links start edit wars, > > and should be put there if any by people, > > The creation of the wikidata page also creats a problem, because it does > not establis a lable which should be mandatory > > and in english, > in the save proses. > > and this problem * > https://www.wikidata.org/wiki/Wikidata:WikiProject_Labels_and_descriptions#… > > > > >Tuesday, September 25, 2018 2:58 AM -05:00 from Sergey Leschina < > mail(a)putnik.ws>: > > > >I want to draw your attention to the problem from the other side. On the > newly created page, which can be opened by the red link, there is no > binding to the Wikidata. This means that after the creation, the page will > not automatically be linked to the Wikidata. And if the project has > templates that can use information from the Wikidata, they will not fully > work until the page will be saved at least once and linked to an item. I > already suggested to add the parameter for this: > https://phabricator.wikimedia.org/T178249 > > > >If something like this will be implemented, then it will be possible to > make a template for the red links (with Lua and TemplateStyles) that will > be connected to the Wikidata. Although I agree that it is better to have a > syntax that will allow to make links without such difficulties. > >пн, 24 сент. 2018 г. в 20:50, Maarten Dammers < maarten(a)mdammers.nl >: > >>Hi everyone, > >> > >>According to https://www.youtube.com/watch?v=TLuM4E6IE5U : "Semantic > >>annotation is the process of attaching additional information to various > >>concepts (e.g. people, things, places, organizations etc) in a given > >>text or any other content. Unlike classic text annotations for reader's > >>reference, semantic annotations are used by machines to refer to." > >>(more at > >>https://ontotext.com/knowledgehub/fundamentals/semantic-annotation/ ) > >> > >>On Wikipedia a red link is a link to an article that hasn't been created > >>(yet) in that language. Often another language does have an article > >>about the subject or at least we have a Wikidata item about the subject. > >>Take for example > >>https://nl.wikipedia.org/w/index.php?title=Friedrich_Ris . It has over > >>250 incoming links, but the person doesn't have an article in Dutch. We > >>have a Wikidata item with links to 7 Wikipedia's at > >>https://www.wikidata.org/wiki/Q116510 , but no way to relate > >>https://nl.wikipedia.org/w/index.php?title=Friedrich_Ris with > >>https://www.wikidata.org/wiki/Q116510 . > >> > >>Wouldn't it be nice to be able to make a connection between the red link > >>on Wikipedia and the Wikidata item? > >> > >>Let's assume we have this list somewhere. We would be able to offer all > >>sorts of nice features to our users like: > >>* Hover of the link to get a hovercard in your favorite backup language > >>* Generate an article placeholder for the user with basic information in > >>the local language > >>* Pre-populate the translate extension so you can translate the article > >>from another language > >>(probably plenty of other good uses) > >> > >>Where to store this link? I'm not sure about that. On some Wikipedia's > >>people have tested with local templates around the red links. That's not > >>structured data, clutters up the Wikitext, it doesn't scale and the > >>local communities generally don't seem to like the approach. That's not > >>the way to go. Maybe a better option would be to create a new property > >>on Wikidata to store the name of the future article. Something like > >>Q116510: Pxxx -> (nl)"Friedrich Ris". Would be easiest because the > >>infrastructure is there and you can just build tools on top of it, but > >>I'm afraid this will cause a lot of noise on items. A couple of > >>suggestions wouldn't be a problem, but what is keeping people from > >>adding the suggestion in 100 languages? Or maybe restrict the usage that > >>a Wikipedia must have at least 1 (or n) incoming links before people are > >>allowed to add it? > >>We could create a new projects on the Wikimedia Cloud to store the > >>links, but that would be quite the extra time investment setting up > >>everything. > >> > >>What do you think? > >> > >>Maarten > >> > >> > >> > >> > >>_______________________________________________ > >>Wikidata mailing list > >>Wikidata(a)lists.wikimedia.org > >>https://lists.wikimedia.org/mailman/listinfo/wikidata > > > > > >-- > >Sergey Leschina > >_______________________________________________ > >Wikidata mailing list > >Wikidata(a)lists.wikimedia.org > >https://lists.wikimedia.org/mailman/listinfo/wikidata > > >

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