Wiki-research-l February 2019

wiki-research-l@lists.wikimedia.org

45 participants
30 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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DEPRECATION WARNING: dbstore1002 is going to be decommissioned on March 4th
by Luca Toscano 06 Mar '19

06 Mar '19

Hi everybody, the Analytics team has been working with the SRE Data Persistence team during the last months to replace dbstore1002 with three brand new nodes, dbstore100[3-5]. We are moving from a single mysql instance (multi-source) to a multi-instance environment. For more info please check: * T210478 and related subtasks. * https://wikitech.wikimedia.org/wiki/Analytics/Data_access#MariaDB_replicas We are planning to decommission the dbstore1002 host (namely stopping mysql and shutting down the server) on Monday March 4th (EU morning). We have recently been following up with a lot of users to help them migrate to the new environment, so we are reasonably sure that this move should not heavily impact anybody, but if we have left some use case aside please let us know in https://phabricator.wikimedia.org/T215589. If we don't hear anything before the March 4th deadline we'll proceed with the host decommission maintenance. Luca (on behalf of the Analytics team)

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Wikipedia digital common and states
by Sebastien Shulz 28 Feb '19

28 Feb '19

Hello everyone, I'm currently working on a sociology Ph.D. research (at the Université Paris-Est) on the relations between digital commons and states. I have two french case studies, and I'm looking for a third one at an international scale. I wanted to know where I can found information about what kind of relation Wikimedia foundation has with the different national states or international entities (UN, EU etc.). Have you in mind examples of strong partenrship (either political, financial, legal, governance etc.) between international or national wikimedia foundation and one international or state administration ? Thank you in advance for your insights! Best regards, *Sébastien Shulz* *Doctorant en sociologie * *Laboratoire Interdisciplinaire Sciences Innovations Sociétés* *06.68.86.68.46 // Linkedin <https://www.linkedin.com/in/sebastien-shulz>*

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Wikidata History Query Service
by Thomas Pellissier Tanon 26 Feb '19

26 Feb '19

Dear all, I have created a small SPARQL query service for Wikidata history. It is in a very early stage. It currently stores metadata about each Wikidata item or property revision (contributor, timestamp, entity edited, previous/next revision of the given entity) and a part of the revisions content (wdt: direct claim relations and redirects). It allows to query the triples added and removed by a revision and query the full state of the Wikidata graph after any revision. The data loaded covers a range from the creation of Wikidata to July 1st 2018. The help page : https://www.wikidata.org/wiki/Wikidata:History_Query_Service The query UI : https://wdhqs.wmflabs.org/ I hope it will be useful for doing interesting researches around Wikidata. Feel free to email me if you need help with it. If it is useful for many people I hope to be able to take time and get storage space to load more recent data and the missing parts of Wikidata items contents. Best, Thomas (User:Tpt)

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Wikis in semantic technologies
by Houcemeddine A. Turki 22 Feb '19

22 Feb '19

Dear all, I thank you for your efforts. We are a research group working in the University of Sfax and led by Dr. Mohamed Ben Aouicha and Dr. Mohamed Ali Hadj Taieb. Our main research project is about the use of wikis for knowledge engineering. During the last years, we had published several publications about our work: * Hadj Taieb, M. A., Ben Aouicha, M., Tmar, M., & Ben Hamadou, A. (2012). Wikipedia category graph and new intrinsic information content metric for word semantic relatedness measuring. In Data and knowledge engineering(pp. 128-140). Springer, Berlin, Heidelberg. * Hadj Taieb, M. A., Ben Aouicha, M., & Ben Hamadou, A. (2013). Computing semantic relatedness using Wikipedia features. Knowledge-Based Systems, 50, 260-278. * Ben Aouicha, M., & Hadj Taieb, M. A. (2015, November). G2WS: Gloss-based WordNet and Wiktionary semantic Similarity measure. In 2015 IEEE/ACS 12th International Conference of Computer Systems and Applications (AICCSA) (pp. 1-7). IEEE. * Ben Aouicha, M., Hadj Taieb, M. A., & Ezzeddine, M. (2016). Derivation of “is a” taxonomy from Wikipedia Category Graph. Engineering Applications of Artificial Intelligence, 50, 265-286. * Ben Aouicha, M., Hadj Taieb, M. A., & Ben Hamadou, A. (2016). Taxonomy-based information content and wordnet-wiktionary-wikipedia glosses for semantic relatedness. Applied Intelligence, 45(2), 475-511. * Ben Aouicha, M., Hadj Taieb, M. A., & Ben Hamadou, A. (2016). LWCR: multi-Layered Wikipedia representation for Computing word Relatedness. Neurocomputing, 216, 816-843. * Ben Aouicha, M., Hadj Taieb, M. A., & Beyaoui, S. (2016, August). Distributional semantics study using the co-occurrence computed from collaborative resources and WordNet. In 2016 International Symposium on INnovations in Intelligent SysTems and Applications (INISTA)(pp. 1-8). IEEE. * Turki, H., Vrandecic, D., Hamdi, H., & Adel, I. (2017, October). Using WikiData as a multi-lingual multi-dialectal dictionary for Arabic dialects. In 2017 IEEE/ACS 14th International Conference on Computer Systems and Applications (AICCSA) (pp. 437-442). IEEE. * Turki, H., Hadj Taieb, M. A., & Ben Aouicha, M. (2018). MeSH qualifiers, publication types and relation occurrence frequency are also useful for a better sentence-level extraction of biomedical relations. Journal of biomedical informatics, 83, 217-218. * Ben Aouicha, M., Hadj Taieb, M. A., & Ibn Marai, H. (2018). WordNet and Wiktionary-Based Approach for Word Sense Disambiguation. In Transactions on Computational Collective Intelligence XXIX (pp. 123-143). Springer, Cham. We will be honoured if you read our publications and cite them in your research papers. We will be happy to receive collaboration proposals or discussions about what we are doing. We are now working on using our findings to enrich Wikidata with biomedical information. If you are interested in participating to this effort, please write me and I will answer you within a week. Yours Sincerely, Houcemeddine Turki Medical Student, Faculty of Medicine of Sfax, University of Sfax, Tunisia Undergraduate Researcher, UR12SP36 GLAM and Education Coordinator, Wikimedia TN User Group Member, WikiResearch Tunisia Member, Wiki Project Med Member, WikiIndaba Steering Committee Member, Wikimedia and Library User Group Co-Founder, WikiLingua Maghreb Founder, TunSci ____________________ +21629499418

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CICM 2019, July 8-12: 2nd Call for Submissions
by serge.autexier＠dfki.de 22 Feb '19

22 Feb '19

[Apologies for cross-postings] Call for Papers formal papers - informal papers - doctoral programme 12th Conference on Intelligent Computer Mathematics - CICM 2019 - July 8-12, 2019 CIIRC, Prague, Czech Republic http://www.cicm-conference.org/2019 -------------------------------------------------------------------------------- Digital and computational solutions are becoming the prevalent means for the generation, communication, processing, storage and curation of mathematical information. CICM brings together the many separate communities that have developed theoretical and practical solutions for mathematical applications such as computation, deduction, knowledge management, and user interfaces. It offers a venue for discussing problems and solutions in each of these areas and their integration. CICM 2019 invites submissions in all topics relating to intelligent computer mathematics, in particular but not limited to * theorem proving and computer algebra * mathematical knowledge management * digital mathematical libraries CICM appreciates the varying nature of the relevant research in this area and invites submissions of very different forms: 1) Formal submissions will be reviewed rigorously and accepted papers will be published in a volume of Springer LNAI: * regular papers (up to 15 pages including references) present novel research results * project and survey papers (up to 15 pages + bibliography) summarize existing results * system and dataset descriptions (up to 5 pages) present digital artifacts * system entry (1 page according to the given LaTeX template) provides metadata and a quick overview of a new tool or a new release of an existent tool 2) Informal submissions will be reviewed with a positive bias and selected for presentation based on their relevance for the community. * informal papers may present work-in-progress, project announcements, position statements, etc. * posters and system demos will be presented in parallel in special sessions 3) The doctoral programme provides PhD students a forum to present early results receive constructive feedback and mentoring. * Important Dates * Formal submissions - Abstract deadline: March 01 - Full paper deadline: March 08 - Reviews sent to authors: April 06 - Rebuttals due: April 10 - Notification of acceptance: April 15 - Camera-ready copies due: May 01 - Conference: July 08-12 Informal submissions and doctoral programme Two separate submission rounds are offered so that some authors can make early travel plans while other authors submit spontaneously. - First round submission deadline: April 01 - Second round submission deadline: May 15 All submissions should be made via easychair at https://easychair.org/conferences/?conf=cicm2019

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Upcoming Research Newsletter: New Papers Open For Review
by Mohammed Sadat Abdulai 21 Feb '19

21 Feb '19

Hi everyone, We’re preparing for the February 2019 research newsletter and looking for contributors. Please take a look at https://etherpad.wikimedia.org/p/WRN201902 and add your name next to any paper you are interested in covering. Our target publication date is on February 28 UTC. If you can't make this deadline but would like to cover a particular paper in the subsequent issue, leave a note next to the paper's entry in the etherpad. As usual, short notes and one-paragraph reviews are most welcome. Highlights from this month: - "Anonymous calling": The WikiScanner scandals and anonymity on the Japanese Wikipedia - A Historical Perspective on Information Systems: A Tool and Methodology for Studying the Evolution of Social Representations on Wikipedia - An inferior source? Quantitatively analysing the production and revision of five technology-enhanced learning-related terms on Wikipedia - Analysis of the Influence of Internet TV Station on Wikipedia Page Views - Application of SEO Metrics to Determine the Quality of Wikipedia Articles and Their Sources - Asthma Information Seeking via Wikipedia Between 2015 and 2018: Implications for Awareness Promotion - Can deep learning techniques improve classification performance of vandalism detection in Wikipedia? - Feature Analysis for Assessing the Quality of Wikipedia Articles through Supervised Classification - Improving New Editor Retention on Wikipedia - Let’s Talk About Refugees: Network Effects Drive Contributor Attention to Wikipedia Articles About Migration-Related Topics - Pharmacy students can improve access to quality medicines information by editing Wikipedia articles - The digital knowledge economy index: mapping content production - The Most Influential Medical Journals According to Wikipedia: Quantitative Analysis - The Network Structure of Successful Collaboration in Wikipedia - Towards Compiling Textbooks from Wikipedia - Trolls, bans and reverts: simulating Wikipedia - Web Traffic Prediction of Wikipedia Pages - Which Type of Research is Cited More Often in Wikipedia? A Case Study of PubMed Research - Why the World Reads Wikipedia: Beyond English Speakers - Wikipedia Cultural Diversity Dataset: A Complete Cartography for 300 Language Editions - Wikipedia network analysis of cancer interactions and world influence - Wizard of Wikipedia: Knowledge-Powered Conversational agents - World influence and interactions of universities from Wikipedia networks Masssly, Tilman Bayer and Dario Taraborelli [1] http://meta.wikimedia.org/wiki/Research:Newsletter

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[Wikimedia Research Showcase] February 20 at 11:30 AM PST, 19:30 UTC
by Janna Layton 20 Feb '19

20 Feb '19

Hello everyone, The next Research Showcase, “The_Tower_of_Babel.jpg” and “A Warm Welcome, Not a Cold Start,” will be live-streamed next Wednesday, February 20, 2019, at 11:30 AM PST/19:30 UTC. The first presentation is about how images are used across language editions, and the second is about new editors. YouTube stream: https://www.youtube.com/watch?v=_jpJIFXwlEg As usual, 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: The_Tower_of_Babel.jpg: Diversity of Visual Encyclopedic Knowledge Across Wikipedia Language Editions By Shiqing He (presenting, University of Michigan), Brent Hecht (presenting, Northwestern University), Allen Yilun Lin (Northwestern University), Eytan Adar (University of Michigan), ICWSM'18. Across all Wikipedia language editions, millions of images augment text in critical ways. This visual encyclopedic knowledge is an important form of wikiwork for editors, a critical part of reader experience, an emerging resource for machine learning, and a lens into cultural differences. However, Wikipedia research--and cross-language edition Wikipedia research in particular--has thus far been limited to text. In this paper, we assess the diversity of visual encyclopedic knowledge across 25 language editions and compare our findings to those reported for textual content. Unlike text, translation in images is largely unnecessary. Additionally, the Wikimedia Foundation, through the Wikipedia Commons, has taken steps to simplify cross-language image sharing. While we may expect that these factors would reduce image diversity, we find that cross-language image diversity rivals, and often exceeds, that found in text. We find that diversity varies between language pairs and content types, but that many images are unique to different language editions. Our findings have implications for readers (in what imagery they see), for editors (in deciding what images to use), for researchers (who study cultural variations), and for machine learning developers (who use Wikipedia for training models). A Warm Welcome, Not a Cold Start: Eliciting New Editors' Interests via Questionnaires By Ramtin Yazdanian (presenting, Ecole Polytechnique Federale de Lausanne) Every day, thousands of users sign up as new Wikipedia contributors. Once joined, these users have to decide which articles to contribute to, which users to reach out to and learn from or collaborate with, etc. Any such task is a hard and potentially frustrating one given the sheer size of Wikipedia. Supporting newcomers in their first steps by recommending articles they would enjoy editing or editors they would enjoy collaborating with is thus a promising route toward converting them into long-term contributors. Standard recommender systems, however, rely on users' histories of previous interactions with the platform. As such, these systems cannot make high-quality recommendations to newcomers without any previous interactions -- the so-called cold-start problem. Our aim is to address the cold-start problem on Wikipedia by developing a method for automatically building short questionnaires that, when completed by a newly registered Wikipedia user, can be used for a variety of purposes, including article recommendations that can help new editors get started. Our questionnaires are constructed based on the text of Wikipedia articles as well as the history of contributions by the already onboarded Wikipedia editors. We have assessed the quality of our questionnaire-based recommendations in an offline evaluation using historical data, as well as an online evaluation with hundreds of real Wikipedia newcomers, concluding that our method provides cohesive, human-readable questions that perform well against several baselines. By addressing the cold-start problem, this work can help with the sustainable growth and maintenance of Wikipedia's diverse editor community. -- Janna Layton (she, her) Administrative Assistant - Audiences & Technology Wikimedia Foundation <https://wikimediafoundation.org/>

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open position(s) in digital sociology
by Dariusz Jemielniak 19 Feb '19

19 Feb '19

Hi, I'm not sure what the rules for posting such announcements at this list are, and historically I don't recall job posts sent (but CfPs, conference info etc - yes), so I apologize in advance if it is not suitable for the format. However, I believe that it is likely relevant to research many of the recipients do. Best, Dj Please, distribute and apologies also for cross posting. ______________ MINDS (Management in Networked and Digital Societies) department at Kozminski University, a leading research-driven business school in the heart of Europe, is seeking to fill one or more open rank positions in digital sociology. The research areas of particular interest for the candidates include: - Social Network Analysis (SNA), - Large dataset analyses on primary data (self collected/scraped), - Other quantitative studies of online communities, - Qualitaitve studies of online communities and digital humanities, - Science and Technology Studies (STS) related to the Internet. We do not restrict the background of candidates to a particular field, as we believe that good research can be inspired and developed from different angles. However, we understand that the position may appeal particularly to people doing research in digital sociology, management, management science, data science, econometrics, computer science, information science, or digital humanities. If you are fluent in Python, R, Klingon, or Quenya, feel free to mention it on your cv. MINDS Department is a highly informal, relatively young team of researchers. We follow participative decision-making principles and, if invited for an interview, you can expect being interviewed and evaluated by all members of the team, irrespective of the rank you are applying for. We put great emphasis on internationalization and high academic standards. Over the last five years, MINDS Department faculty have gone on one-year research stays to Harvard University, Massachusetts Institute of Technology, Cornell University, University of California Berkeley, or New York University, among others. We regularly publish in JCR-listed journals and publish books in the leading academic presses (e.g. Stanford University Press, MIT Press, Oxford University Press, Palgrave, Edward Elgar, Ashgate, Routledge). Some of us are social movements activists, some are involved in the start-up culture (mentoring, seed funds, developing own businesses, etc.), and we generally value bringing a diverse experience to the table. We believe that research should be stellar solid and of high quality, but that it also should be fun. We offer flexibility, a lot of independence, and a friendly working culture. The deadline for sending your application is June, 1. More details: bit.ly/digital-sociology<http://bit.ly/digital-sociology> Feel free to contact me about the position as well. -- ________________________________________________________ [http://crow.kozminski.edu.pl/minds.jpg]<http://nerds.kozminski.edu.pl/> Dariusz Jemielniak, Ph.D. Professor of Management Chair of MINDS (Management in Networked and Digital Societies) Department Kozminski University http://nerds.kozminski.edu.pl <http://nerds.kozminski.edu.pl/> Recent articles: * Dariusz Jemielniak, Gwinyai Masukume, Maciej Wilamowski (2019) The Most Influential Medical Journals According to Wikipedia: Quantitative Analysis<https://www.jmir.org/2019/1/e11429/pdf> , Journal of Medical Internet Research, 21 (1), pp. e11429 * Dariusz Jemielniak, Aleksandra Przegalinska, Agata Stasik (2018) Anecdotal evidence: understanding organizational reality through organizational humorous tales<http://nerds.kozminski.edu.pl/wp-content/uploads/2018/08/HUMOR-Anecdotal-ev…> HUMOR: International Journal of Humor Research 31: 3. 539–561. * Dariusz Jemielniak, Maciej Wilamowski (2017) Cultural Diversity of Quality of Information on Wikipedias<http://crow.kozminski.edu.pl/papers/cultures%20of%20wikipedias.pdf> Journal of the Association for Information Science and Technology 68: 10. 2460–2470. * Dariusz Jemielniak (2016) Wikimedia Movement Governance: The Limits of A-Hierarchical Organization<http://www.crow.kozminski.edu.pl/papers/wikimedia_governance.pdf> Journal of Organizational Change Management 29: 3. 361-378. * Dariusz Jemielniak, Eduard Aibar (2016) Bridging the Gap Between Wikipedia and Academia<http://www.crow.kozminski.edu.pl/papers/bridging.pdf> Journal of the Association for Information Science and Technology 67: 7. 1773-1776. * Dariusz Jemielniak (2016) Breaking the Glass Ceiling on Wikipedia<http://www.crow.kozminski.edu.pl/papers/glass-ceiling.pdf> Feminist Review 113: 1. 103-108. * Tadeusz Chełkowski, Peter Gloor, Dariusz Jemielniak (2016) Inequalities in Open Source Software Development: Analysis of Contributor’s Commits in Apache Software Foundation Projects<http://journals.plos.org/plosone/article/asset?id=10.1371%2Fjournal.pone.01…> , PLoS ONE 11: 4. e0152976.

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Job Offer: Software Developer at the Max Planck Institute for Demographic Research
by MPIDR - Career 19 Feb '19

19 Feb '19

++++ apologies for cross postings ++++ The Max Planck Institute for Demographic Research (MPIDR) is recruiting a Software Developer to join the Laboratory of Digital and Computational Demography<http://demogr.mpg.de/en/laboratories/digital_and_computational_demography_5…>. The MPIDR is one of the leading demographic centers in the world. It is part of the Max Planck Society, a network of over 80 institutes that form Germany's premier basic-research organization. Max Planck Institutes have an established record of world-class, foundational research in the sciences, technology, and the humanities, and offer a unique environment that combines the best aspects of an academic setting and a research laboratory. The Profile The Laboratory of Digital and Computational Demography, headed by MPIDR Director Emilio Zagheni, is looking for candidates with a background in Software Development/Software Engineering, who will support scientific projects at MPIDR and collaborate closely with researchers on their implementation. Candidates are expected to have a solid knowledge of, and relevant experience with, at least some of the following: (i) low/mid-level programming languages (e.g., C, C++, C#, Java), (ii) high-level languages commonly used in the scientific community (e.g., Python and R) and related statistical/data science libraries, (iii) Web Development (Front-end and Back-end, APIs e.g. Facebook Marketing API), (iv) Mobile Application Development (Android, IOS), (v) Data Management (SQL) and High Performance Computing. A PhD in Computer Science, Informatics or a related discipline (or equivalent level of experience) is desirable. The successful candidate will work with an international team of scientists that are advancing the field of digital and computational demography. Her/his profile should include: (i) excellent communication skills, including high proficiency in written and spoken English; (ii) the ability to work in teams and to support the full life cycle of scientific projects from a software development perspective; (iii) an interest in deepening and expanding relevant knowledge and skills, and in coauthoring research articles or reports. The Position and Remuneration The position is full time (39 hours/week), to start as soon as possible. The contract is initially limited to 2 years, with the possibility of tenure. The MPIDR offers a competitive salary that starts at approx. 54,000 EUR gross per year depending on relevant experience (pay scale 14 TVöD Bund). Remuneration is based on the salary structure of the German public sector and includes employees' benefits in accordance with the rules of federal employees in Germany. The Institute has an excellent work environment and offers family-friendly work arrangements (flexible working hours, teleworking, and guaranteed places in day-care centers for children), occupational health promotion, and opportunities for continuous further training. Our institute values diversity and is committed to employing individuals from minorities. Individuals with severe disability are especially welcome to apply. Our Institute and the Max Planck Society also seek to increase the proportion of women in areas where they are underrepresented and therefore explicitly encourage women to apply. Application Materials Applications should be in English and include, in a single pdf document: (i) CV, (ii) a letter of motivation where you describe your relevant experience in the areas mentioned and why you are interested in joining MPIDR; (iii) contact details of two references. Please provide copies of certificates of education, other relevant certificates, and, if applicable, performance records. Review of applications will begin on March 14. Applications will be accepted on a rolling basis until the position is filled, but preference will be given to those received by March 14. Please send your informative application using the following website link www.demogr.mpg.de/go/JobAd881283<http://www.demogr.mpg.de/go/JobAd881283>. For questions on the position, please contact Ms. Ulrike Liebich (sekzagheni(a)demogr.mpg.de<mailto:sekzagheni@demogr.mpg.de>). For information about the Institute, please use the following website link: www.demogr.mpg.de<http://www.demogr.mpg.de/>. ---------- 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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Wiki-research-l February 2019