Wiki-research-l

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2988 discussions

please hire a CTO who wants to protect reader privacy
by James Salsman 23 Mar '19

23 Mar '19

I noticed just now that the Foundation is soliciting applications for a new CTO: https://www.linkedin.com/feed/update/urn:li:activity:6515003866130505729 Can we please hire a CTO who would prefer to protect reader privacy above the interests of any State or non-state actors, whether they have infiltrated staff, contractor, and NDA signatory ranks, and whether it interferes with reader statistics and analytics or not, please? In particular, I would like to repeat my request that we should not be logging personally identifiable information which might increase our subpoena burden or result in privacy violation incidents. Fuzzing geolocation is okay, but we should not be transmitting IP addresses into logs across even a LAN, for example, and we certainly shouldn't be purchasing hardware with backdoor coprocessors wasting electricity and exposing us to government or similar intrusions: https://lists.wikimedia.org/pipermail/analytics/2017-January/005696.html Best regards, Jim

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[Wikimedia Research Showcase] March 20 at 11:30 AM PST, 18:30 UTC
by Janna Layton 20 Mar '19

20 Mar '19

Hello everyone, I'm just sending a reminder that the below Showcase will be starting in half an hour. -Janna Layton Hi all, The next Research Showcase, “Learning How to Correct a Knowledge Base from the Edit History” and “TableNet: An Approach for Determining Fine-grained Relations for Wikipedia Tables” will be live-streamed this Wednesday, March 20, 2019, at 11:30 AM PST/18:30 UTC (Please note the change in time in UTC due to daylight saving changes in the U.S.). The first presentation is about using edit history to automatically correct constraint violations in Wikidata, and the second is about interlinking Wikipedia tables. YouTube stream: https://www.youtube.com/watch?v=6p62PMhkVNM As usual, you can join the conversation on IRC at #wikimedia-research. You can also watch our past research showcases at https://www.mediawiki.org/wiki/Wikimedia_Research/Showcase . This month's presentations: Learning How to Correct a Knowledge Base from the Edit History By Thomas Pellissier Tanon (Télécom ParisTech), Camille Bourgaux (DI ENS, CNRS, ENS, PSL Univ. & Inria), Fabian Suchanek (Télécom ParisTech), WWW'19. The curation of Wikidata (and other knowledge bases) is crucial to keep the data consistent, to fight vandalism and to correct good faith mistakes. However, manual curation of the data is costly. In this work, we propose to take advantage of the edit history of the knowledge base in order to learn how to correct constraint violations automatically. Our method is based on rule mining, and uses the edits that solved violations in the past to infer how to solve similar violations in the present. For example, our system is able to learn that the value of the [[d:Property:P21|sex or gender]] property [[d:Q467|woman]] should be replaced by [[d:Q6581072|female]]. We provide [https://tools.wmflabs.org/wikidata-game/distributed/#game=43 a Wikidata game] that suggests our corrections to the users in order to improve Wikidata. Both the evaluation of our method on past corrections, and the Wikidata game statistics show significant improvements over baselines. TableNet: An Approach for Determining Fine-grained Relations for Wikipedia Tables By Besnik Fetahu Wikipedia tables represent an important resource, where information is organized w.r.t table schemas consisting of columns. In turn each column, may contain instance values that point to other Wikipedia articles or primitive values (e.g. numbers, strings etc.). In this work, we focus on the problem of interlinking Wikipedia tables for two types of table relations: equivalent and subPartOf. Through such relations, we can further harness semantically related information by accessing related tables or facts therein. Determining the relation type of a table pair is not trivial, as it is dependent on the schemas, the values therein, and the semantic overlap of the cell values in the corresponding tables. We propose TableNet, an approach that constructs a knowledge graph of interlinked tables with subPartOf and equivalent relations. TableNet consists of two main steps: (i) for any source table we provide an efficient algorithm to find all candidate related tables with high coverage, and (ii) a neural based approach, which takes into account the table schemas, and the corresponding table data, we determine with high accuracy the table relation for a table pair. We perform an extensive experimental evaluation on the entire Wikipedia with more than 3.2 million tables. We show that with more than 88% we retain relevant candidate tables pairs for alignment. Consequentially, with an accuracy of 90% we are able to align tables with subPartOf or equivalent relations. Comparisons with existing competitors show that TableNet has superior performance in terms of coverage and alignment accuracy. -- Janna Layton (she, her) Administrative Assistant - Audiences & Technology Wikimedia Foundation <https://wikimediafoundation.org/>

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WikiLabels maintenance on Tuesday, March 19
by James Hare 19 Mar '19

19 Mar '19

The Scoring Platform Team at the Wikimedia Foundation will be performing maintenance on WikiLabels <https://labels.wmflabs.org>. We are moving the database to a different server. This work will take place from 14:00-14:30 UTC (7am Pacific) on Tuesday, March 19. WikiLabels may go down in the process. Please let me know if you have any questions. -- *James Hare* (he/him) Associate Product Manager Wikimedia Foundation <https://wikimediafoundation.org/>

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[Wikimedia Research Showcase] March 20 at 11:30 AM PST, 18:30 UTC
by Leila Zia 19 Mar '19

19 Mar '19

Hi all, The next Research Showcase, “Learning How to Correct a Knowledge Base from the Edit History” and “TableNet: An Approach for Determining Fine-grained Relations for Wikipedia Tables” will be live-streamed this Wednesday, March 20, 2019, at 11:30 AM PST/18:30 UTC (Please note the change in time in UTC due to daylight saving changes in the U.S.). The first presentation is about using edit history to automatically correct constraint violations in Wikidata, and the second is about interlinking Wikipedia tables. YouTube stream: https://www.youtube.com/watch?v=6p62PMhkVNM As usual, you can join the conversation on IRC at #wikimedia-research. You can also watch our past research showcases at https://www.mediawiki.org/wiki/Wikimedia_Research/Showcase . This month's presentations: Learning How to Correct a Knowledge Basefrom the Edit History By Thomas Pellissier Tanon (Télécom ParisTech), Camille Bourgaux (DI ENS, CNRS, ENS, PSL Univ. & Inria), Fabian Suchanek (Télécom ParisTech), WWW'19. The curation of Wikidata (and other knowledge bases) is crucial to keep the data consistent, to fight vandalism and to correct good faith mistakes. However, manual curation of the data is costly. In this work, we propose to take advantage of the edit history of the knowledge base in order to learn how to correct constraint violations automatically. Our method is based on rule mining, and uses the edits that solved violations in the past to infer how to solve similar violations in the present. For example, our system is able to learn that the value of the [[d:Property:P21|sex or gender]] property [[d:Q467|woman]] should be replaced by [[d:Q6581072|female]]. We provide [https://tools.wmflabs.org/wikidata-game/distributed/#game=43 a Wikidata game] that suggests our corrections to the users in order to improve Wikidata. Both the evaluation of our method on past corrections, and the Wikidata game statistics show significant improvements over baselines. TableNet: An Approach for Determining Fine-grained Relations for Wikipedia Tables By Besnik Fetahu Wikipedia tables represent an important resource, where information is organized w.r.t table schemas consisting of columns. In turn each column, may contain instance values that point to other Wikipedia articles or primitive values (e.g. numbers, strings etc.). In this work, we focus on the problem of interlinking Wikipedia tables for two types of table relations: equivalent and subPartOf. Through such relations, we can further harness semantically related information by accessing related tables or facts therein. Determining the relation type of a table pair is not trivial, as it is dependent on the schemas, the values therein, and the semantic overlap of the cell values in the corresponding tables. We propose TableNet, an approach that constructs a knowledge graph of interlinked tables with subPartOf and equivalent relations. TableNet consists of two main steps: (i) for any source table we provide an efficient algorithm to find all candidate related tables with high coverage, and (ii) a neural based approach, which takes into account the table schemas, and the corresponding table data, we determine with high accuracy the table relation for a table pair. We perform an extensive experimental evaluation on the entire Wikipedia with more than 3.2 million tables. We show that with more than 88% we retain relevant candidate tables pairs for alignment. Consequentially, with an accuracy of 90% we are able to align tables with subPartOf or equivalent relations. Comparisons with existing competitors show that TableNet has superior performance in terms of coverage and alignment accuracy. Best, Leila

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Sampling new editors in English Wikipedia
by Haifeng Zhang 18 Mar '19

18 Mar '19

Hi folks, My work needs to randomly sample new editors in each month, e.g., 100 editors per month. Do any of you have good suggestions for how to do this efficiently? I could think of using the dump files, but wonder are there other options? Thanks, Haifeng Zhang

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International Conference on Social Media & Society #SMSociety (Toronto, Canada): Keynotes & Call for Posters, Panels and Workshops (due Mar 18)
by agruzd＠gmail.com 16 Mar '19

16 Mar '19

***Apologies for cross-posting*** Dear Colleagues, The organizing committee of the 10th Annual International Conference on Social Media and Society (#SMSociety) invites you to visit Toronto on July 19-21, 2019. This year's conference will be held at the Ted Rogers School of Management and hosted by Ryerson University Social Media Lab. The 2019 conference theme is "Rethinking Privacy and Trust in the Social Media Age." The Conference offers an intensive 3-day program including hands-on workshops, full & work-in-progress papers, panels, and posters featuring the latest in social media research. This year, we are honoured to have two highly distinguished scholars as our keynote speakers: * Tarleton Gillespie, a principal researcher at Microsoft Research New England, and an affiliated professor in the Department of Communication and Department of Information Science at Cornell University. His new book, Custodians of the Internet: Platforms, Content Moderation, and the Hidden Decisions that Shape Social Media (Yale University Press) was published in June 2018. * Valerie Steeves, a professor in the Department of Criminology at the University of Ottawa. As the lead researcher of MediaSmarts' Young Canadians in a Wired World research project, she has been tracking young people's use of new media since 2000. She is also the principal investigator of The eQuality Project, a seven-year partnership exploring young people's experiences of privacy and equality in networked spaces. More info at: https://socialmediaandsociety.org/2019/announcement-of-2019-keynotes/ Submission Deadline: There is still time to submit a poster, panel or hands-on workshop proposal (due March 18, midnight, Hawaiian time). We hope you consider submitting your work to the conference and join our interdisciplinary community of researchers. More info at: https://socialmediaandsociety.org/submit/ If you have any questions, please contact us via email at ask(a)socialmediaandsociety.org <mailto:ask@socialmediaandsociety.org> or on Twitter at @SocMediaConf <https://twitter.com/SocMediaConf> -- 2019 SMSociety Organizing Committee

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Fwd: [Wikimedia-l] How diverse are your readers?
by Pine W 06 Mar '19

06 Mar '19

Forwarding. Pine ( https://meta.wikimedia.org/wiki/User:Pine ) ---------- Forwarded message --------- From: Leila Zia <leila(a)wikimedia.org> Date: Wed, Mar 6, 2019 at 9:13 PM Subject: [Wikimedia-l] How diverse are your readers? To: Wikimedia Mailing List <wikimedia-l(a)lists.wikimedia.org> Hi all, As I mentioned in an earlier thread [1], we will be running reader surveys across a number of Wikipedia languages to learn about the reader needs and motivations in these languages as well as some of their demographic information (and perhaps the correlations between demographics and user motivations and characteristics). If your language community is interested to have statistics on the distribution of reader gender, age, education, native language, and geographic region (rural/urban) in your language (and depending on how much data we collect in your language, perhaps more insights), this is your chance to indicate interest at: https://meta.wikimedia.org/wiki/Research_talk:Characterizing_Wikipedia_Read… I initially communicated 2019-02-15 as the deadline to sign up. Since then, we have run a pilot test on enwiki and we are investigating some of the results to see if any changes in the survey questions are needed. You have now time until 2019-03-15 to indicate interest. As always: this call is primarily a service to your language community. If you like it, take action on it. If you don't, no action is needed. :) Best, Leila [1] https://lists.wikimedia.org/pipermail/wikimedia-l/2019-February/091762.html _______________________________________________ Wikimedia-l mailing list, guidelines at: https://meta.wikimedia.org/wiki/Mailing_lists/Guidelines and https://meta.wikimedia.org/wiki/Wikimedia-l New messages to: Wikimedia-l(a)lists.wikimedia.org Unsubscribe: https://lists.wikimedia.org/mailman/listinfo/wikimedia-l, <mailto:wikimedia-l-request@lists.wikimedia.org?subject=unsubscribe>

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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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wow2019
by Bunty Avieson 05 Mar '19

05 Mar '19

Hi, A final call for papers for a conference in Sydney in June https://www.wow2019.net/ worlds of wikimedia: communicating and collaborating across cultures Dr Bunty Avieson | Lecturer The University of Sydney Department of Media and Communications, Faculty of Arts and Social Sciences Rm N225, John Woolley | The University of Sydney | NSW | 2006 +61 2 8627 0201 bunty.avieson(a)sydney.edu.au<mailto:bunty.avieson@sydney.edu.au> | sydney.edu.au<https://sydney.edu.au/arts/staff/profiles/bunty.avieson.php> I acknowledge the Gadigal people of the Eora nation as the traditional custodians of the land on which I live and work

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Fwd: [AI] Extended call for Workshops/Tutorials at CAIP 2019 in Salerno, Italy
by Pine W 05 Mar '19

05 Mar '19

Forwarding to additional lists. I believe that in the past there has been consideration of using automated image recognition to categorize images on Commons. Pine ( https://meta.wikimedia.org/wiki/User:Pine ) ---------- Forwarded message --------- From: caip2019(a)unisa.it <caip2019(a)unisa.it> Date: Tue, Mar 5, 2019 at 6:58 AM Subject: [AI] Extended call for Workshops/Tutorials at CAIP 2019 in Salerno, Italy To: <ai(a)lists.wikimedia.org> The CAIP2019 Organizing Committee invites proposals for workshops and tutorials in conjunction with the 18th International Conference on Computer Analysis of Images and Patterns. The workshops and tutorials will be held as side events of the main conference. *Proposals for Workshop* The CAIP2019 workshops will provide forums where participants will have opportunities to discuss technical topics and actively share ideas. The topics of the workshops should be at the frontiers of academic research or important applications in the domain of computer vision and pattern recognition. Each proposal will be assessed for its scientific content, structure and relevance. Cogently, good proposals would encourage discussion and interaction between the participants, achievable in a several ways, e.g., through presentations of submitted work, panel discussions and hands-on sessions. Download here the Call for Workshops <http://caip2019.unisa.it/pages/submission/callcaip2019workshop.pdf> *Proposals For Tutorials* The CAIP 2019 Organizing Committee invites proposals for tutorials to be held as side events of the main conference in Salerno, Italy. Tutorials should serve one or more of the following objectives: - Introduce students and newcomers to major topics of CAIP research - Provide instruction on established practices and methodologies - Survey a mature area of CAIP research and/or practice - Motivate and explain a CAIP topic of emerging importance - Introduce expert non-specialists to a CAIP research area Proposals should contain the following information: - The title and a brief description of the tutorial - A detailed outline of the tutorial, including preferred length of tutorial: either 3 hours (half day) or 6 hours (full day). If it is a full-day tutorial, please give a brief justification - Characterization of the potential target audience for the tutorial, including prerequisite knowledge and estimated number of attendees - A description of why the tutorial topic would be of interest to a substantial part of the CAIP audience - A brief resume of the presenter(s), which should include name, title, affiliation, e-mail address, background in the tutorial area, example of work in the area (e.g. publications and/or industrial work). Download here the Call for Tutorials <http://caip2019.unisa.it/pages/submission/callcaip2019tutorials.pdf> *Submission* Proposals should be submitted by electronic mail to the CAIP Organizing Committee (caip2019(a)unisa.it) *Important Dates* Deadline for workshop proposal: *March 11, 2019 *Notification of Acceptance: *March 15, 2019* _______________________________________________ AI mailing list AI(a)lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/ai

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