Wiki-research-l January 2016

27 participants
22 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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Wikipedia aggregate clickstream data released
by Dario Taraborelli 17 Jan '18

17 Jan '18

We’re glad to announce the release of an aggregate clickstream dataset extracted from English Wikipedia http://dx.doi.org/10.6084/m9.figshare.1305770 <http://dx.doi.org/10.6084/m9.figshare.1305770> This dataset contains counts of (referer, article) pairs aggregated from the HTTP request logs of English Wikipedia. This snapshot captures 22 million (referer, article) pairs from a total of 4 billion requests collected during the month of January 2015. This data can be used for various purposes: • determining the most frequent links people click on for a given article • determining the most common links people followed to an article • determining how much of the total traffic to an article clicked on a link in that article • generating a Markov chain over English Wikipedia We created a page on Meta for feedback and discussion about this release: https://meta.wikimedia.org/wiki/Research_talk:Wikipedia_clickstream <https://meta.wikimedia.org/wiki/Research_talk:Wikipedia_clickstream> Ellery and Dario

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Fwd: [Wikitech-l] statistics about frequent section titles
by Jonathan Morgan 07 Apr '16

07 Apr '16

Cross-posting this request to wiki-research-l. Anyone have data on frequently used section titles in articles (any language), or know of datasets/publications that examined this? I'm not aware of any off the top of my head, Amir. - Jonathan ---------- Forwarded message ---------- From: Amir E. Aharoni <amir.aharoni(a)mail.huji.ac.il> Date: Sat, Jul 11, 2015 at 3:29 AM Subject: [Wikitech-l] statistics about frequent section titles To: Wikimedia developers <wikitech-l(a)lists.wikimedia.org> Hi, Did anybody ever try to collect statistics about frequent section titles in Wikimedia projects? For Wikipedia, for example, titles such as "Biography", "Early life", "Bibliography", "External links", "References", "History", etc., appear in a lot of articles, and their counterparts appear in a lot of languages. There are probably similar things in Wikivoyage, Wiktionary and possibly other projects. Did anybody ever try to collect statistics of the most frequent section titles in each language and project? -- Amir Elisha Aharoni · אָמִיר אֱלִישָׁע אַהֲרוֹנִי http://aharoni.wordpress.com ‪“We're living in pieces, I want to live in peace.” – T. Moore‬ _______________________________________________ Wikitech-l mailing list Wikitech-l(a)lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/wikitech-l -- Jonathan T. Morgan Senior Design Researcher Wikimedia Foundation User:Jmorgan (WMF) <https://meta.wikimedia.org/wiki/User:Jmorgan_(WMF)>

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The Wikimedia Research Newsletter 6(1) is out
by masssly＠ymail.com 29 Jan '16

29 Jan '16

The January 2016 issue of the Wikimedia Research Newsletter is out: https://blog.wikimedia.org/2016/01/29/research-newsletter-january-2016/ https://meta.wikimedia.org/wiki/Research:Newsletter/2016/January In this issue: 1 Burstiness in Wikipedia editing 2 Emerging trends based on Wikipedia traffic data and contextual networks 3 "Hidden revolution of human priorities: An analysis of biographical data from Wikipedia" 4 "Women through the glass-ceiling: gender asymmetries in Wikipedia" 5 Briefly 5.1 Wikipedia influences medical decision-making in acute and critical care *** 20 recent publications were covered or listed in this issue *** Thanks to Brian Keegan and Piotr Koniecznyfor contributing. Masssly, Tilman Bayer and Dario Taraborelli --- Wikimedia Research Newsletter https://meta.wikimedia.org/wiki/Research:Newsletter/ * Follow us on Twitter: @WikiResearch * Receive this newsletter by mail: https://lists.wikimedia.org/mailman/listinfo/research-newsletter * Subscribe to the RSS feed: http://blog.wikimedia.org/c/research-2/wikimedia-research-newsletter/feed/

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Planning a project
by Gerard Meijssen 29 Jan '16

29 Jan '16

Hoi, One of the area's where Wikipedia is not performing optimally is in the area of mental health. I am working towards an editathon on the subject. The aim is to consider information in multiple languages not only Dutch. What I am looking for is how we can measure the impact it has on traffic. After all I am interested in the whole of the subject not only in the articles that are updated or written. My problem is in two: what is the best way of identifying a subject as broad as mental health and is it possible to get historic information on traffic? Thanks, GerardM PS I am working on Wikidata on the subject.

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Community policing, New Page Patrol, Articles for Creation, and editor retention
by Pine W 29 Jan '16

29 Jan '16

Yesterday I gave a presentation about community policing at the Cascadia Wikimedians' end of year event with Seattle TA3M [1][2][3]. An issue that came up for discussion is the extent to which, on English Wikipedia, experienced Wikipedians conducting New Page Patrol create collateral damage during their well-intentioned efforts to protect Wikipedia. Another subject that came up is the need for more human resources for mentoring of newbies who create articles using the Articles for Creation system [4]; one comment I've heard previously is that the length of time between submission and review may be long enough for the newbie to give up and disappear, and another comment that I've heard is that newbies may not understand the instructions that they're given when their article is reviewed. These comments correlate with the community SWOT analysis that was done at WikiConference USA this year, in which "biting the newbies", NPP, and "onboarding/training" were identified as weaknesses [5] Personally, I would like the interaction of experienced editors with the newbies in places like NPP and AFC to look more like this <https://en.wikipedia.org/wiki/File:Police_Week_May_15,_2010_on_Court_Avenue…> and less like this <https://en.wikipedia.org/wiki/File:Ferguson_Day_6,_Picture_44.png>. Granted, it's hard for a relatively small number of experienced Wikipedians to keep all the junk and vandals out while also mentoring the newbies and avoiding collateral damage, so one strategy could be to increase the quantity of skilled human resources that are devoted to these domains. Any thoughts on how to make that happen? I am currently especially interested in this topic because of my IEG project which officially starts this week. [6] It would be very helpful to retain the new editors that are trained through these videos, so improving editor retention via improved newbie experiences at NPP and/or AFC would be most welcome. Pine [1] https://en.wikipedia.org/wiki/Community_policing [2] https://en.wikipedia.org/wiki/Police_reform_in_the_United_States [3] https://commons.wikimedia.org/wiki/File:Presentations_at_Cascadia_Wikimedia… [4] https://en.wikipedia.org/wiki/Wikipedia:Articles_for_creation [5] https://commons.wikimedia.org/wiki/File:SWOT_analysis_of_Wikipedia_in_2015.… [6] https://meta.wikimedia.org/wiki/Grants:IEG/Motivational_and_educational_vid…

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Yahoo’s data set
by Andrew Lih 28 Jan '16

28 Jan '16

There might be something Wikipedia-related in this data set, so just in case, I thought the group might find this Yahoo Labs announcement interesting: http://yahoolabs.tumblr.com/post/137281912191/yahoo-releases-the-largest-ev… "Today, we are proud to announce the public release of the largest-ever machine learning dataset to the research community. The dataset stands at a massive ~110B events (13.5TB uncompressed) of anonymized user-news item interaction data, collected by recording the user-news item interactions of about 20M users from February 2015 to May 2015.”

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International Visiting Fellowships in Critical Digital & Social Media Research
by Christian Fuchs 25 Jan '16

25 Jan '16

Call for Applications: International Visiting Fellowships in Critical Digital & Social Media Research The Westminster Institute for Advanced Studies (WIAS) www.westminster.ac.uk/wias is a newly created academic space at the University of Westminster in London for independent critical thinking beyond borders. Its inaugural research theme is Critical Digital & Social Media Research. One of the WIAS’ key features is the Research Fellowship Programme that attracts and brings together current and future academic leaders. We invite applications for international junior and senior research fellows (from all academic backgrounds) who conduct fellowship research projects in the realm of Critical Social & Digital Media Research for the duration of 3 months in 2016. Several fellowships will be awarded as result of this call. The fellowships cover airfare and a contribution to accomodation and subsistence in London. Funded scholarships are only awarded as a result of open calls. The WIAS invites both junior and senior fellows. Junior fellows are researchers who hold a PhD that has been awarded not more than 5 years before the date of the call publication. Senior fellows are researchers who hold a PhD that has been awarded more than 5 years before the call is published. More details and application: https://www.westminster.ac.uk/news/2016/call-for-applications-international… Application deadline: February 29, 2016, 17:00 BST Subscription to the WIAS newsletter in order to receive updates about events, future fellowship calls, calls of the book series "Critical Digital & Social Media Studies", publications, etc. is possible here: https://www.westminster.ac.uk/newsletter

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Upcoming research newsletter (January 2016): new papers open for review
by masssly＠ymail.com 23 Jan '16

23 Jan '16

Hi everybody, We’re preparing for the January 2016 research newsletter and looking for contributors. Please take a look at: https://etherpad.wikimedia.org/p/WRN201601 and add your name next to any paper you are interested in covering. Our target publication date is Wednesday January 27 UTC although actual publication might happen several days later. As usual, short notes and one-paragraph reviews are most welcome. Highlights from this month: 50/50 Norm in Massive Online Public Good: The Case of Wikipedia Advances in Network Science| chapter = Studying the Role of Diversity in Open Collaboration Network: Experiments on Wikipedia An AI for the Wikipedia Game Analyzing the Usage of Wikipedia on Twitter: Understanding Inter-Language Links Anon productivity and productive efficiency in English Wikipedia (Showcase, Jan. 2016) Common knowledge? An ethnography of Wikipedia Das Ende klassischer Printmedien? Ein Vergleich soziologischer Einführungswerke und Lexika mit der Online-Enzyklopädie Wikipedia aus studentischer Perspektive From Digital Library Citation Parsing to Wikipedia Reference Analysis Hidden revolution of human priorities: An analysis of biographical data from Wikipedia Identifying missing dictionary entries with frequency-conserving context models Intellectual interchanges in the history of the massive online open-editing encyclopedia, Wikipedia Not at Home on the Range: Peer Production and the Urban/Rural Divide On the origin of burstiness in human behavior: The wikipedia edits case Political Advertising on the Wikipedia Market Place of Information Population automation: An interview with Wikipedia bot pioneer Ram-Man Prediction of influenza outbreaks by integrating Wikipedia article access logs and Google flu trend data Public relations interactions with Wikipedia Quantifying the Relationship between Hit Count Estimates and Wikipedia Article Traffic Relevance Analyses and Automatic Categorization of Wikipedia Articles The Detection of Emerging Trends Using Wikipedia Traffic Data and Context Networks The Evolution of Wikipedia's Norm Network The Impact of Sentiment-driven Feedback on Knowledge Reuse in Online Communities The Impact of Sentiment-driven Feedback on Knowledge Reuse in Online Communities Verifying social network models of Wikipedia knowledge community Vier von fünf Internetnutzern recherchieren bei Wikipedia Where are the Women in Wikipedia? Understanding the Different Psychological Experiences of Men and Women in Wikipedia Wikiometrics: A Wikipedia Based Ranking System Wikipedia: Access and participation in an open encyclopaedia Women Through the Glass-Ceiling: Gender Asymmetries in Wikipedia If you have any question about the format or process feel free to get in touch off-list. Masssly, Tilman Bayer and Dario Taraborelli [1] http://meta.wikimedia.org/wiki/Research:Newsletter

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Fwd: Office hour regarding "Motivational and educational video to introduce Wikimedia"
by Pine W 22 Jan '16

22 Jan '16

Cross-posting. ---------- Forwarded message ---------- From: Pine W <wiki.pine(a)gmail.com> Date: Tue, Jan 19, 2016 at 11:03 PM Subject: Office hour regarding "Motivational and educational video to introduce Wikimedia" Hi all, I will have an office hour regarding the development of the Motivational and educational video to introduce Wikimedia <https://meta.wikimedia.org/wiki/Grants:IEG/Motivational_and_educational_vid…> project. I would appreciate your comments and questions about: * The outline of the subjects that will be included in the videos * Good practices for onboarding newcomers that may be leveraged in the video series * What to name the video series when it is released to the general public * Translation of the public communications related to the videos, and translation of the script * Anything else related to the series Please participate in a Doodle poll to help with scheduling the office hour: http://doodle.com/poll/eu4m62ccdq4senuv I also welcome questions and comments on the project talk page <https://meta.wikimedia.org/wiki/Grants_talk:IEG/Motivational_and_educationa…> . Thank you! Pine

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Wiki-research-l January 2016