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Fighting disinformation - WMF Research Team
by Diego Saez-Trumper 30 Dec '19

30 Dec '19

Hi everybody, 2019 is coming to an end, and we want to keep you updated on the current efforts of the Wikimedia Research team <https://research.wikimedia.org/> on fighting disinformation on Wikipedia. During the last months we have been working on understanding the "disinformation eco-system”, its effects on Wikipedia and what research can do to fight this problem. To that end, we have done i) a literature review on online disinformation <https://arxiv.org/pdf/1910.12596.pdf>; ii) a study on how patrolling currently works on Wikipedia <https://meta.wikimedia.org/wiki/Research:Patrolling_on_Wikipedia/Report> iii) and also discussed with the Wikipedia community <https://wikimania.wikimedia.org/wiki/2019:Meetups/Disinformation>about their interests and priorities on this front. All this has helped us to understand some of the main mechanisms that are being used today to spread online disinformation and also what are the actions and technologies that can help to mitigate this problem. We have also identified areas that still require more research, both to better understand the problem of disinformation introduced on Wikipedia, and new technologies that needs to be developed to be used in the context of Wikipedia to fight against disinformation. The most relevant areas that we are going to work during the following months are: - Understand how disinformation spreads across different projects: Improve our understanding on content spreading across different projects and how this affects the quality of information. - Develop / Improve Machine Learning technique to fight disinformation: Develop new machine learning solutions to support the editors on content verification and source credibility assessments. - Monitoring social media links to Wikipedia: We are going to create a social media monitoring system that will help patrollers and admins to understand some activities on social media that can affect the quality of information on Wikipedia. We will be happy to know more about other efforts on fighting disinformation on Wikipedia, and also to get your feedback about our research. If you want to learn more about this or other research projects, please refer to our last research report <https://research.wikimedia.org/report.html> or contact us. I wish you a great 2020, free of disinformation ;) Best, -- Diego Saez-Trumper Research Scientist - WMF

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Fwd: [AI] The WebConf (WWW 2020) Call for Papers (Demo Track)
by Pine W 28 Dec '19

28 Dec '19

Forwarding an announcement. For what it's worth, WMF is listed as a sponsor of the 2019 conference, and multiple conference tracks appear to be relevant to Wikiverse activities. However, announcements which include lofty adjectives such as "visionary" often give me pause due to the risk of over-promising and under-delivering. Your views may vary. Regards, Pine ( https://meta.wikimedia.org/wiki/User:Pine ) ---------- Forwarded message --------- From: Jui-Yi Tsai <vincentthunder2011(a)gmail.com> Date: Tue, Dec 24, 2019 at 2:42 AM Subject: [AI] The WebConf (WWW 2020) Call for Papers (Demo Track) To: <ai(a)lists.wikimedia.org> *The WebConf (WWW) Call for Papers: Demo Track* April 20-24, 2020 Taipei, Taiwan https://www2020.thewebconf.org/ *Important Dates* • Submission deadline: January 06, 2020 • Notification: February 10, 2020 For almost three decades, the Web Conference series has been the premier venue for researchers, academics, businesses and standards bodies to come together and discuss latest updates and the future of the Web. The Demonstration Track of the Web Conference has become an important venue for sharing cutting-edge and exciting web-based prototype systems with significant research and development efforts. The Demonstrations Track allows researchers and practitioners to demonstrate first-hand visionary systems with innovative features and functionalities in a dedicated session. Submissions must be based on an implemented and tested system that pursues one or more innovative ideas in the interest areas of the conference. *Topics include (but are not limited to)* ● Health on the Web ● Behavioral analysis and personalization ● Crowdsourcing systems and social media ● Bio-feedback and emotional computation ● New human-computer interfaces ● Internet economics, monetization, and online markets ● Pervasive Web and mobility ● Security, privacy, and trust ● Semantics and knowledge ● Semantic Web, content analysis, and Web mining ● Social networks, social analysis, and computational social science ● Web infrastructure: datacenters, cloud computing, and systems ● User modeling, personalization, and experience ● Mobile, ubiquitous, ambient, and pervasive computation, Web of Things ● Web science, Web search, and Web systems Demonstrations are encouraged from academic researchers, from industrial practitioners with prototypes or in-production deployments, as well as from any W3C-related activities to interact while exploring the latest techniques for managing web information and knowledge. Software (including games or learning platforms) and hardware demos will be considered equally, provided they show innovative use of Web-based techniques. Each submission must make clear which aspects of the system will be demonstrated, and how. What exactly will the audience experience? What are the interesting scenarios to motivate the demonstration? They should strive to state the significance of the contribution to Web technology or applications. In other words, submissions should describe the intended audience, point out the innovative aspects of the system being demonstrated, and explain how those aspects contribute to the state of the art in the Web and information technology. Submissions will be peer-reviewed by members of the track program committee, who will judge the originality, significance, quality, and clarity of each submission. *Submission Guidelines* Demonstration Track submissions must be formatted according to the ACM SIG Proceedings Template and are limited to four pages (including references and appendices). It is the authors’ responsibility to ensure that submissions adhere strictly to the required format. The format cannot be modified with the objective of squeezing in more material. Submissions that do not comply with the formatting guidelines will be rejected without review. Each demonstration track submission should contain an introduction, brief description, screenshots, value and contribution. Submissions should also indicate how the demonstration will be demonstrated and the hardware requirements (for the organizers). Submissions must be double-blinded. Submissions must be in PDF and must be made through the EasyChair system (Demonstrations Track): https://easychair.org/conferences/?conf=www2020 At least one author of each accepted demonstration paper must register for the conference and attend in person to demonstrate the system during the demonstration sessions. To better identify the value of demonstrations, as well as to reach out to external audiences, we also encourage authors to submit a pointer to a screencast, using web-accessible platforms such as Vimeo or YouTube. The maximum duration of screencasts is 10 minutes. We also highly encourage any external material related to the demo (e.g., shared code on GitHub). *Track Co-chairs* Hsu-Chun Hsiao (National Taiwan University) De-Nian Yang (Academia Sinica) Email: demos2020(a)thewebconf.org _______________________________________________ AI mailing list AI(a)lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/ai

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Call for papers: Workshop on Innovative Ideas in Data Science (IID) @ The Web Conference 2020
by Robert West 26 Dec '19

26 Dec '19

Workshop on Innovative Ideas in Data Science (IID) IID is a half-day workshop organized in conjunction with the *The Web Conference* in Taipei, Taiwan, on Monday, *20 April 2020.* http://hyadatalab.com/IID2020/ Workshop goals The goal of IID is to provide a venue for researchers and practitioners from both academia and industry to discuss innovative, thought-provoking, and visionary ideas in data science. The emphasis is on potentially disruptive research directions that challenge current research agendas and suggest future ones. Many workshops associated with The Web Conference have become more like mini-conferences themselves. Our vision for IID is complementary: it is a place for early-stage work on blue-sky, high-risk, and high-reward research, where the authors can benefit from community feedback. We are inviting short position papers, up to 4 pages long, and are especially (but not exclusively) looking for papers that do at least one of the following: - identify fundamental open questions (including both new questions and old-but-forgotten questions), - introduce a new way of thinking, - offer a constructive critique of current research agendas, - reframe or debunk existing work, - report unexpected early results, - suggest promising but unproven ideas, - propose novel evaluation methods. An ideal submission is one that (1) is likely to stimulate discussion and (2) has the potential to open up a new line of research. We do not require full evaluations; well-reasoned arguments or preliminary evaluations could be sufficient. Submission information We welcome both novel research papers, work-in-progress papers, and visionary papers. All papers will be peer-reviewed in single-blind mode (i.e., authors do not need to anonymize their papers). Submissions should be in PDF, written in English, with a maximum of 4 pages (not including references). Shorter papers are also welcome. Please format your paper using the ACM SIG conference proceedings template (use sample-sigconf.pdf as the template) available at https://www.acm.org/publications/proceedings-template Submit at EasyChair: http://www.easychair.org/conferences/?conf=iid2020 At least one author of an accepted paper must attend the workshop to present the work. Important dates If authors want paper to appear in proceedings: - Submission deadline: 24 January 2020 - Author feedback: 10 February 2020 - Camera-ready version due: 17 February 2020 If authors do not want paper to appear in proceedings: - Submission deadline: 21 February 2020 - Author feedback: 6 March 2020 Further information and contact Website: http://hyadatalab.com/IID2020/ Email: iid-workshop(a)googlegroups.com Organizing team Dafna Shahaf, Hebrew University of Jerusalem Robert West, EPFL Ashton Anderson, University of Toronto Jie Tang, Tsinghua University

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Upcoming Research Newsletter: New Papers Open For Review
by Mohammed Sadat Abdulai 25 Dec '19

25 Dec '19

Hi everyone, We’re preparing for the December 2019 research newsletter and looking for contributors. Please take a look at https://etherpad.wikimedia.org/p/WRN201912 and add your name next to any paper you are interested in covering. Our writing deadline is 27 December 23:59 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 below. As usual, short notes and one-paragraph reviews are most welcome. Highlights from this month: - Automatically Neutralizing Subjective Bias in Text - Collaboration Drives Individual Productivity - Collectively biased representations of the past: Ingroup Bias in Wikipedia articles about intergroup conflicts - Content and Conduct: How English Wikipedia Moderates Harmful Speech - Dynamical systems' models for the prediction of multi-variable time series. Wikipedia's traffic example - Following the footsteps of giants: Modeling the mobility of historically notable individuals using Wikipedia - GeBioToolkit: Automatic Extraction of Gender-Balanced Multilingual Corpus of Wikipedia Biographies - Investigating Saturation in Collaboration and Cohesiveness of Wikipedia Using Motifs Analysis - Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering - On the Relation of Edit Behavior, Link Structure, and Article Quality on Wikipedia - Readability of English Wikipedia's health information over time - Structuring the world’s knowledge: Socio-technical processes and data quality in Wikidata - Wikipedia: Why is the common knowledge resource still neglected by academics? Masssly and Tilman Bayer [1] http://meta.wikimedia.org/wiki/Research:Newsletter[2] WikiResearch (@WikiResearch) | Twitter

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Series of blog posts
by Stuart A. Yeates 19 Dec '19

19 Dec '19

Over the last couple of days I've posted a series of professionally-editted blog posts related to my involvement in en.wiki: https://sciblogs.co.nz/guestwork/2019/12/18/how-i-came-to-be-writing-wikipe… https://sciblogs.co.nz/guestwork/2019/12/19/what-to-put-in-a-wikipedia-biog… https://sciblogs.co.nz/guestwork/2019/12/20/15-years-of-editing-wikipedia/ Spoiler: today is my 15th anniversary of editing wikipedia under my own name. cheers stuart -- ...let us be heard from red core to black sky

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[Wikimedia Research Showcase] December 18, 2019 at 9:30 AM PST, 17:30 UTC
by Janna Layton 18 Dec '19

18 Dec '19

Hello everyone, The next Research Showcase will be live-streamed on Wednesday, December 18, at 9:30 AM PST/17:30 UTC. We’ll have a presentation from Fabian Suchanek on incomplete knowledge bases and one from Brian Keegan about Wikipedia and the 2016 US Presidential election. YouTube stream: https://www.youtube.com/watch?v=b4VrphM_TTA 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: Making Knowledge Bases More Complete By Fabian Suchanek, Télécom Paris, Institut Polytechnique de Paris A Knowledge Base (KB) is a computer-readable collection of facts about the world (examples are Wikidata, DBpedia, and YAGO). The problem is that these KBs are often missing entities or facts. In this talk, I present some new methods to combat this incompleteness. I will also quickly talk about some other research projects we are currently pursuing, including a new version of YAGO. Publications <https://suchanek.name/work/publications/> The Dynamics of Peer-Produced Political Information During the 2016 U.S. Presidential Campaign By Brian Keegan, Ph.D., Assistant Professor, Department of Information Science, University of Colorado Boulder Wikipedia plays a crucial role for online information seeking and its editors have a remarkable capacity to rapidly revise its content in response to current events. How did the production and consumption of political information on Wikipedia mirror the dynamics of the 2016 U.S. Presidential campaign? Drawing on systems justification theory and methods for measuring the enthusiasm gap among voters, this paper quantitatively analyzes the candidates' biographical and related articles and their editors. Information production and consumption patterns match major events over the course of the campaign, but Trump-related articles show consistently higher levels of engagement than Clinton-related articles. Analysis of the editors' participation and backgrounds show analogous shifts in the composition and durability of the collaborations around each candidate. The implications for using Wikipedia to monitor political engagement are discussed. Paper <http://www.brianckeegan.com/papers/CSCW_2019_Elections.pdf> -- Janna Layton (she, her) Administrative Assistant - Product & Technology Wikimedia Foundation <https://wikimediafoundation.org/>

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Join us at Applied Machine Learning Days 2020
by Robert West 18 Dec '19

18 Dec '19

View this email in your browser <https://us16.campaign-archive.com/?e=&u=916971a3ea659389de868ea4e&id=315940…> <https://appliedmldays.org/tickets/?utm_source=Applied+Machine+Learning+Days…> *We hope to see you at the Applied Machine Learning Days 2020, taking place between the 25th and 29th of January 2020 at the SwissTech Convention Centre, Lausanne, Switzerland.* The Applied Machine Learning Days is one of the largest machine learning and artificial intelligence events in Europe. It focuses specifically on the application of machine learning and AI, making it particularly interesting both for industry and academia, thus creating a unique audience. More than 2000 attendees are expected over the five-day event. Notable speakers this year include: *A practical weekend* Following previous years, the weekend of the 25th and 26th will focus on the practical application of machine learning and artificial intelligence covering hands-on sessions with over 30 workshops <https://appliedmldays.org/workshops?utm_source=Applied+Machine+Learning+Day…>, training, coding classes and tutorials. Several frameworks and applications of machine learning will be showcased during the weekend, such as TensorFlow 2, PyTorch, GAN, Reinforcement Learning or Natural Language Processing. *Three days of conferences and the very first startup day* The main conference is taking place over the following three days and will uncover over 29 different domain-specific topics <https://appliedmldays.org/tracks?utm_source=Applied+Machine+Learning+Days&u…>. The first two days are focussed on more technical aspects of machine learning and AI hosting leading speakers in their field, poster sessions and, an exhibition. The third and final day is a novelty for this fourth edition of AMLD, this day will address how AI affects labour markets, hiring practices and jobs, and the political and social consequences of this technology. It will also host AMLDs very first Startup Day whereby the team will have selected promising startups in AI and machine learning to exhibit at the conference, and also to pitch. *The Applied Machine Learning Days is your opportunity to attend an event of like-minded peers and professionals in discovering the latest research, business application and discussion surrounding the theme of AI & Machine Learning.* Join us in building and being part of this community in Europe! Get tickets <https://appliedmldays.org/tickets/?utm_source=Applied+Machine+Learning+Days…> [image: Website] <https://www.appliedmldays.org/?utm_source=Applied+Machine+Learning+Days&utm…> [image: Twitter] <https://twitter.com/appliedmldays?utm_source=Applied+Machine+Learning+Days&…> [image: YouTube] <https://www.youtube.com/c/AppliedMachineLearningDays?utm_source=Applied+Mac…> [image: LinkedIn] <https://www.linkedin.com/company/appliedmldays/?utm_source=Applied+Machine+…> [image: Email] <info(a)appliedmldays.org> AMLD EPFL 2020 is a carbon-neutral event: all conference-related CO2 emissions are offset through a partnership with myClimate <https://www.myclimate.org/?utm_source=Applied+Machine+Learning+Days&utm_cam…>. Want to change how you receive these emails? You can update your preferences <https://appliedmldays.us16.list-manage.com/profile?u=916971a3ea659389de868e…> or unsubscribe from this list <https://appliedmldays.us16.list-manage.com/unsubscribe?u=916971a3ea659389de…>.

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The November 2019 issue of the Wikimedia Research Newsletter is out:
by Mohammed Sadat Abdulai 18 Dec '19

18 Dec '19

The November 2019 issue of the Wikimedia Research Newsletter is out: https://meta.wikimedia.org/wiki/Research:Newsletter/2019/November In this issue: 1 "First census of Wikipedia bots"2 Seasonality in pageviews reflects plants blooming and birds migrating3 Editor Interactions in Spanish and English Wikipedia4 Too many editors spoil the broth - at least for global warming5 Conferences and events6 Other recent publications6.1 "Does Sleep Deprivation Cause Online Incivility? Evidence from a Natural Experiment"6.2 "Smaller, more tightly-knit" WikiProjects may be more efficient6.3 "Web Traffic Prediction of Wikipedia Pages"6.4 "Anomaly Detection in the Dynamics of Web and Social Networks Using Associative Memory"6.5 "Operationalizing Conflict and Cooperation between Automated Software Agents in Wikipedia: A Replication and Expansion of 'Even Good Bots Fight'"6.6 "The digital knowledge economy index: mapping content production"6.7 Linking 20 GB of data from Wikidata with a biodiversity database in 10 minutes6.8 "Inspiration, Captivation, and Misdirection: Emergent Properties in Networks of Online Navigation"6.9 "Different Topic, Different Traffic: How Search and Navigation Interplay on Wikipedia" *** 14 recent publications were covered or listed in this issue *** Masssly and Tilman Bayer --- Wikimedia Research Newsletterhttps://meta.wikimedia.org/wiki/Research:Newsletter/* Follow us on Twitter: @WikiResearch * Like us on Facebook: Facebook.com/WikiResearch/ * Receive this newsletter by mail: Research-newsletter Mailing List - Wikimedia

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Brief shutdown of stat1007 for maintenance - Thu Dec 12th 15:30 CET
by Luca Toscano 17 Dec '19

17 Dec '19

Hi everybody, the Analytics team is going to shutdown stat1007 for a few minutes on Thu Dec 12th at around 15:30 CET to check if there is space for a GPU in the server's chassis. Please let us know if this will impact your work (so we can arrange a different maintenance window). Thanks! Luca

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Enable Kerberos authentication for Hadoop (please read if you use Hadoop for your daily work)
by Luca Toscano 17 Dec '19

17 Dec '19

Hi everybody, the Analytics team is going to enable Kerberos authentication for Hadoop on Monday December 2nd. The procedure will start around 10 AM CET and will hopefully last 3/4 hours, but since this is an invasive change there might be a possibility that it will last more. If you have anything important that requires Hadoop on this date please let us know in advance. The most visible change from the user's point of view is the introduction of a new account/password to be able to use the Hadoop services (like Hive/HDFS/Spark/Oozie). We created a user guide about what will change with kerberos in https://wikitech.wikimedia.org/wiki/Analytics/Systems/Kerberos/UserGuide. There is also a task opened to track any doubt/question/special-use-cases during the next two weeks: https://phabricator.wikimedia.org/T238560. Feel free to reach out to IRC #wikimedia-analytics on Freenode too! Thanks! Luca (on behalf of the Analytics team)

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