Wiki-research-l April 2019

wiki-research-l@lists.wikimedia.org

18 participants
10 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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Analysis into active user stats
by RhinosF1 Wikipedia 01 May '19

01 May '19

Hi all, As you maybe aware, Over the last 3 weeks, I've been looking into the accuracy of active user statistics on English Wikipedia. I haven't had a chance to upload the final results to https://en.wikipedia.org/wiki/User:RhinosF1/activeuser but I have completed the gathering of statistics and have attached a .pdf of the results to this email. I've found it interesting how there is a sudden drop in the number of active users although I half expected this and intended to find it although I want to look deeper. I'd like too see whether this is down to blocks or just not continuing and asses whether time requirements or edit requirements have bigger impact. I look forward to any feedback and help in the research. The plan for the next stages are as follows: 1. About 10-14 days for people getting this email to respond. 2. Run the new list of queries for about 2-3 week to gather some data to show 3. Show the data to enwiki users and ask for feedback / help collecting data 4. Present results in 2-3 months time. 5. Gather wide feedback on results 6. Maybe take action to improve it if we can see what action needs doing As you will see most of the data is from around 9pm UTC so in future stages I would appreciate data collection from a larger range of times. Thanks in advance, RhinosF1

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Association for Unmanned Vehicle Systems International
by 80hnhtv4agou＠bk.ru 30 Apr '19

30 Apr '19

Is in Chicago this week https://en.wikipedia.org/wiki/Association_for_Unmanned_Vehicle_Systems_Inte… This article has multiple issues. Please help improve it or discuss these issues on the talk page . ( Learn how and when to remove these template messages ) This article needs additional citations for verification . ( April 2012 ) This article contains content that is written like an advertisement . ( April 2012 ) and it is FREE @; https://xponential.mylibralounge.com/regeng/xponential2019/attendee/en/Regi… "Co-located Event ONLY"

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Ways thru which articles could attract editors
by Haifeng Zhang 29 Apr '19

29 Apr '19

Dear folks, I wonder what are those mechanisms/events (in Wikipedia or WikiProjects) which may attract editors to improve article quality. One example is Today's articles for improvement. Within WikipProjects, GA/FA nominations seem useful too. Thanks, Haifeng Zhang

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SEMANTiCS 2019 || Sep 9-12, 2019 || Extended Submission Deadline May 6, 2019
by Sebastian Hellmann 24 Apr '19

24 Apr '19

SEMANTiCS 2019 extends the deadlines of the Research & Innovation Track and the LegalTech/ Digital Humanities and Cultural Heritage Track as follows: * Extended: Abstract Submission Deadline: May 6, 2019 (11:59 pm, Hawaii time) * Extended: Paper Submission Deadline: May 13, 2019 (11:59 pm, Hawaii time) * Notification of Acceptance: June 17, 2019 (11:59 pm, Hawaii time) * Camera-Ready Paper: July 29, 2019 (11:59 pm, Hawaii time) For details please go to: https://2019.semantics.cc/calls With kind regards, The Semantics Organization Team

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Upcoming Research Newsletter: New Papers Open For Review
by Mohammed Sadat Abdulai 23 Apr '19

23 Apr '19

Hi everyone, We’re preparing for the April 2019 research newsletter and looking for contributors. Please take a look at https://etherpad.wikimedia.org/p/WRN201904 and add your name next to any paper you are interested in covering. Our target publication date is on April 30 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: - A season for all things: Phenological imprints in Wikipedia usage and their relevance to conservation - Assessing the quality of information on wikipedia: A deep-learning approach - Crosslingual Document Embedding As Reduced-Rank Ridge Regression - Detecting and Gauging Impact on Wikipedia Page Views - Eliciting New Wikipedia Users' Interests via Automatically Mined Questionnaires: For a Warm Welcome, Not a Cold Start - Female scholars need to achieve more for equal public recognition - Finding Prerequisite Relations using the Wikipedia Clickstream - Interactive Quality Analytics of User-generated Content: An Integrated Toolkit for the Case of Wikipedia - Participation of New Editors After Times of Shock on Wikipedia - Searching News Articles Using an Event Knowledge Graph Leveraged by Wikidata - Tor Users Contributing to Wikipedia: Just Like Everybody Else? - Uncertainty During New Disease Outbreaks in Wikipedia - WikiLinkGraphs: A complete, longitudinal and multi-language dataset of the Wikipedia link networks - Wikipedia Cultural Diversity Dataset: A Complete Cartography for 300 Language Editions Mohammed Abdulai and Tilman Bayer [1] http://meta.wikimedia.org/wiki/Research:Newsletter

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[Wikimedia Research Showcase] April 17 at 11:30 AM PDT, 19:30 UTC
by Janna Layton 18 Apr '19

18 Apr '19

Hello, everyone, The next Research Showcase, “Group Membership and Contributions to Public Information Goods: The Case of WikiProject” and “Thanks for Stopping By: A Study of ‘Thanks’ Usage on Wikimedia,” will be live-streamed next Wednesday, April 17, 2019, at 11:30 AM PDT/19:30 UTC. YouTube stream: https://www.youtube.com/watch?v=zmb5LoJzOoE 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: Group Membership and Contributions to Public Information Goods: The Case of WikiProject By Ark Fangzhou Zhang Abstract: We investigate the effects of group identity on contribution behavior on the English Wikipedia, the largest online encyclopedia that gives free access to the public. Using an instrumental variable approach that exploits the variations in one’s exposure to WikiProject, we find that joining a WikiProject has a significant impact on one’s level of contribution, with an average increase of 79 revisions or 8,672 character per month. To uncover the potential mechanism underlying the treatment effect, we use the size of home page for WikiProject as a proxy for the number of recommendations from a project. The results show that the users who join a WikiProject with more recommendations significantly increase their contribution to articles under the joined project, but not to articles under other projects. Thanks for Stopping By: A Study of ‘Thanks’ Usage on Wikimedia By Swati Goel Abstract: The Thanks feature on Wikipedia, also known as "Thanks," is a tool with which editors can quickly and easily send one other positive feedback. The aim of this project is to better understand this feature: its scope, the characteristics of a typical "Thanks" interaction, and the effects of receiving a thank on individual editors. We study the motivational impacts of "Thanks" because maintaining editor engagement is a central problem for crowdsourced repositories of knowledge such as Wikimedia. Our main findings are that most editors have not been exposed to the Thanks feature (meaning they have never given nor received a thank), thanks are typically sent upwards (from less experienced to more experienced editors), and receiving a thank is correlated with having high levels of editor engagement. Though the prevalence of "Thanks" usage varies by editor experience, the impact of receiving a thank seems mostly consistent for all users. We empirically demonstrate that receiving a thank has a strong positive effect on short-term editor activity across the board and provide preliminary evidence that thanks could compound to have long-term effects as well. -- Janna Layton (she, her) Administrative Assistant - Audiences & Technology Wikimedia Foundation <https://wikimediafoundation.org/>

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[CfP] DBpedia meeting || May 23rd, 2019 || Leipzig
by Sebastian Hellmann 12 Apr '19

12 Apr '19

Dear all, We are happy to announce that the 13th DBpedia Community Meeting will be held in Leipzig, Germany on 23rd of May, 2019. DBpedia will be part of the Language, Data and Knowledge conference (LDK). This new biennial conference series aims at bringing together researchers from across disciplines. Further information on the conference program and its associated events can be found here: http://2019.ldk-conf.org/. * Highlights * - Keynote #1: Making Linked Data Fun with DBpedia by Peter Haase, metaphacts - Keynote #2: From Wikipedia to Thousands of Wikis – The DBkWik Knowledge Graph by Heiko Paulheim, University of Mannheim - DBpedia Association hour - DBpedia Showcase Session * Quick Facts * - Web URL: http://wiki.dbpedia.org/meetings/Leipzig2019 - When: May 23rd, 2019 - Where: Mediencampus Villa Ida, Poetenweg 28, 04155 Leipzig - Call for Contribution: Submit your proposal in our form https://goo.gl/forms/pThmvkvoK8jR5gFM2 - Registration: You need to buy a ticket via https://www.eshop.sachsen.de/infai/infai_store_english/ * Side Event * The Thinktank and Hackathon “Artificial Intelligence for Smart Agriculture” is part of the DBpedia meeting. The activity is supported by the projects DataBio, Bridge2Era as well as CIAOTECH/PNO. The goal of the thinktank & hackathon is to build new ideas and small tools, which are able to demonstrate the use auf AI within the agricultural domain and a sustainable bioeconomy. Especially, the use and impact of linked data for AI components will be one part of the event. Further discussions about future collaborations and ideas of the future of AI-based Smart Agriculture will be held. Please submit your ideas and projects here: https://docs.google.com/forms/d/e/1FAIpQLSfXD4_shiDkiHrMSwtEbEzl746oAd-GAAm… We are looking forward to meeting you in Leipzig! Kind regards Your DBpedia Association

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Cr5: a new model for crosslingual document representation
by Robert West 09 Apr '19

09 Apr '19

Hi all, A quick message to point out a recent model for crosslingual document embedding that we developed. It is called Cr5 (for "Crosslingual Document Embedding as Reduced-Rank Ridge Regression") and essentially lets you take any text document in any language and represent it as a vector in a language-independent way, such that documents can be compared across languages. For instance, the Finnish Wikipedia article Olut <https://fi.wikipedia.org/wiki/Olut> will result in a similar vector representation as the English article Beer <https://en.wikipedia.org/wiki/Beer>, since they are about the same concept, and despite the fact that they have nearly no surface-level similarities in terms of vocabulary etc. We are publishing a pre-trained model with a small API that is very easy to use: https://github.com/epfl-dlab/Cr5 The model currently supports 28 languages [1], but it can readily be trained for different sets of languages (code provided on GitHub, see above). The provided model was trained on Wikipedia (surprise...) and essentially sources information on how words in different languages correspond to one another from the crosslingual article alignments provided by Wikidata [2]. While the resulting model can be applied to any text (not just Wikipedia articles), it works particularly well on Wikipedia [3] -- which is the reason I'm writing this email: I really hope that the community will start using Cr5 to make better sense of Wikipedia across languages. Ideas abound: crosslingual section alignment, crosslingual plagiarism detection, comparison of topical foci across languages, crosslingual keyword search, etc. etc. If there are any questions or comments, do drop us a line! Bob [1] bg, ca, cs, da, de, el, en, es, et, fi, fr, hr, hu, id, it, mk, nl, no, pl, pt, ro, ru, sk, sl, sv, tr, uk, vi [2] For more details on the method, please see the paper: https://dlab.epfl.ch/people/west/pub/Josifoski-Paskov-Paskov-Jaggi-West_WSD… [3] In fact, it achieves state-of-the-art performance in the context of Wikipedia, outperforming the previously best method, published by Facebook, by a wide margin.

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New research: predicting whether (and why) a Wikipedia sentence needs a citation
by Jonathan Morgan 04 Apr '19

04 Apr '19

Hi all, Miriam Redi and I just published a blog post summarizing some of our recent research using machine learning to detect sentences that need citations, as well as the reason why a citation is likely necessary for that sentence. Read the blog post (high-level summary) here <https://wikimediafoundation.org/2019/04/03/can-machine-learning-uncover-wik…>, wade into the details here <https://meta.wikimedia.org/wiki/Research:Identification_of_Unsourced_Statem…>, and ask questions and provide feedback here <https://meta.wikimedia.org/wiki/Research_talk:Identification_of_Unsourced_S…> . Thanks, Jonathan -- Jonathan T. Morgan Senior Design Researcher Wikimedia Foundation User:Jmorgan (WMF) <https://meta.wikimedia.org/wiki/User:Jmorgan_(WMF)>

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Wiki-research-l April 2019