Wiki-research-l September 2018

wiki-research-l@lists.wikimedia.org

25 participants
23 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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Results from 2018 global Wikimedia survey are published!
by Edward Galvez 05 Oct '18

05 Oct '18

Hi everyone, I'm excited to share that our annual survey about Wikimedia communities is now published! This survey included 170 questions and reaches over 4,000 community members across four audiences: Contributors, Affiliate organizers, Program Organizers, and Volunteer Developers. This survey helps us hear from the experience of Wikimedians from across the movement so that teams are able to use community feedback in their planning and their work. This survey also helps us learn about long term changes in communities, such as community health or demographics. The report is available on meta: https://meta.wikimedia.org/wiki/Community_Engagement_Insights/2018_Report For this survey, we worked with 11 teams to develop the questions. Once the results were analyzed, we spent time with each team to help them understand their results. Most teams have already identified how they will use the results to help improve their work to support you. The report could be useful for your work in the Wikimedia movement as well! What are you learning from the data? Take some time to read the report and share your feedback on the talk pages. We have also published a blog that you can read.[1] We are hosting a livestream presentation[2] on September 20 at 1600 UTC. Hope to see you there! Feel free to email me directly with any questions. All the best, Edward [1] https://wikimediafoundation.org/2018/09/13/what-we-learned-surveying-4000-c… [2] https://www.youtube.com/watch?v=qGQtWFP9Cjc -- Edward Galvez Evaluation Strategist, Surveys Learning & Evaluation Community Engagement Wikimedia Foundation -- Edward Galvez Evaluation Strategist, Surveys Learning & Evaluation Community Engagement Wikimedia Foundation

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[Analytics] Beeline as Hive client
by Madhumitha Viswanathan 02 Oct '18

02 Oct '18

Hi all, For all Hive users using stat1002/1004, you might have seen a deprecation warning when you launch the hive client - that claims it's being replaced with Beeline. The Beeline shell has always been available to use, but it required supplying a database connection string every time, which was pretty annoying. We now have a wrapper <https://github.com/wikimedia/operations-puppet/blob/production/modules/role…> script setup to make this easier. The old Hive CLI will continue to exist, but we encourage moving over to Beeline. You can use it by logging into the stat1002/1004 boxes as usual, and launching `beeline`. There is some documentation on this here: https://wikitech.wikimedia.org/wiki/Analytics/Cluster/Beeline. If you run into any issues using this interface, please ping us on the Analytics list or #wikimedia-analytics or file a bug on Phabricator <http://phabricator.wikimedia.org/tag/analytics>. (If you are wondering stat1004 whaaat - there should be an announcement coming up about it soon!) Best, --Madhu :)

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#SMSociety CFP: 2019 INTERNATIONAL CONFERENCE on SOCIAL MEDIA & SOCIETY (Toronto, July 19-21, 2019)
by agruzd＠gmail.com 29 Sep '18

29 Sep '18

INTERNATIONAL CONFERENCE ON SOCIAL MEDIA AND SOCIETY Toronto, Canada (JULY 19-21, 2019) THEME: Rethinking Privacy and Trust in the Social Media Age IMPORTANT DATES Full papers (6-10 pages) Due: Jan. 28, 2019 WIP papers (1000-word extended abstract) Due: Jan. 28, 2019 Panels, Workshops, & Posters Due: Mar. 18, 2019 PUBLISHING OPPORTUNITIES Full papers presented at the Conference will be published in the conference proceedings by ACM International Conference Proceeding Series (ICPS) and will be available in the ACM Digital Library. All conference presenters will be invited to submit their work as a full paper to the special issue of the Social Media + Society journal (published by SAGE). SUBMISSION DETAILS: http://socialmediaandsociety.org/submit/ ABOUT THE CONFERENCE The <http://socialmediaandsociety.org/> International Conference on Social Media & Society (#SMSociety <http://socialmediaandsociety.org/> ) is an annual gathering of leading social media researchers from around the world. Now, in its 10th year, the 2019 conference is being held in Toronto, Canada from July 19 to 21. From its inception, the conference has focused on the best practices for studying the impact and implications of social media on society. Organized by the Social Media Lab <http://socialmedialab.ca/> at Ted Rogers School of Management <https://www.ryerson.ca/tedrogersschool/> at Ryerson University <https://www.ryerson.ca/> , the conference provides participants with opportunities to exchange ideas, present original research, learn about recent and ongoing studies, and network with peers. The conference's intensive three-day program features hands-on workshops, full papers, work-in-progress papers, panels, and posters. The wide-ranging topics in social media showcase research from scholars working in many fields including Management, Communication, Computer Science, Education, Journalism, Information Science, Political Science, and Sociology. CONFERENCE THEME: Rethinking Privacy and Trust in the Social Media Age Can we trust what we hear and see on social media? For a time, social media was viewed as a net positive for society. In their 2013 book, The New Digital Age, Google's Jared Cohen and Eric Schmidt wrote:"Never before have so many people been connected through an instantly responsive network." In 2015, Mark Zuckerberg, the co-founder and CEO of Facebook, wrote a glowing endorsement of the internet and social media calling it "a force for peace in the world." He argued that connecting people through social media would help to bring about a "shared understanding" of the human condition and build a "common global community." Fast forward to 2018, social media is now embroiled in a series of ongoing public scandals involving data abuse and misuse-with the most infamous scandal involving the UK data analytics firm Cambridge Analytica. More troubling is fact that social media has emerged as fertile ground for fostering anti-social behaviour and is an important vector for disinformation, misinformation, and manipulation operations. These realities have further raised users' privacy concerns and challenged public trust in social media, which has resulted in a revitalized call for new legislation and regulation. Considering this context, the <http://socialmediaandsociety.org/> International Conference on Social Media & Society invites scholarly and original submissions that explore key questions and central issues related (but not limited) to the 2019 theme of "Rethinking Privacy and Trust in the Social Media Age." We welcome research from a wide range of methodological perspectives employing established quantitative, qualitative, and mixed methods as well as innovative approaches that cross interdisciplinary boundaries and expands our understanding of the current and future trends in social media research, especially research that seeks to explore: * What does 'privacy' and 'trust' mean in the social media age? * How can researchers study and operationalize these constructs? * What is the relationship between users' trust in social media platforms, their privacy concerns, and their social media adoption and use? * What are privacy protective technologies that can help to rebuild users' trust in social media? * Can and how AI-based applications help to rebuild trust in social media and improve the credibility of social media content? * How does social media manipulation affect political trust and tolerance? * How is social media being used to help build and strengthen trust in political, economic, social and cultural realms of society? * What roles do alternative social networking services-such as Diaspora, Mastodon, and Gab.ai-play in the current social media environment where hashtag campaigns-such as #DeleteFacebook, #MAGA and #MeToo-have become prevalent? * What theoretical and methodological tools can researchers rely on for ethical and privacy-protective collection, analysis, and sharing of social media datasets? * What are the consequences of data regulations such as GDPR (General Data Protection Regulation) on the industry and users? Are these regulations effective? * What are emerging successful user engagement models for governments, journalists, financial institutions, marketers, and others in today's social media landscape? * What is the future of social media research without APIs? * How can we measure authentic (or organic) user engagement while properly accounting for bot-driven (or paid) interactions? * How does algorithmic architecture influence how we discover and interact with others? * What is the role of algorithms played in creating divisive culture in social media? * What are the ethical concerns of algorithms (inclusion, accessibility, discrimination, bots) and how to mitigate them? TOPICS OF INTEREST Social Media Impact on Society * Privacy * Trust & credibility * Political mobilization & engagement * Extremism & terrorism * Politics of hate and oppression * Health and well-being Social Media & Business * Brand communities * Influencer & marketing * Public & customer relations * Cybervetting and HR * Risk management Social Media & Public Sector * Government social media management * Adoption, use, strategies and policies * Trust towards public agencies * Citizens' engagement * Citizens' privacy & security concerns Social Media & Academia * Alternative metrics * Learning analytics * Teaching with social media * University branding Online/Offline Communities * Online community detection * Influential user detection * Identity and anonymity * Case studies Social Media & Mobile * Appification of society * Privacy & security issues in a mobile world * Encrypted messaging apps * Fake news & misinformation Theories & Methods * Qualitative approaches * Quantitative approaches * Mixed methods * Opinion mining & sentiment analysis * Social network analysis * Theoretical models Big & Small Data * Value of small data * Data mining and analytics * Sampling issues * Visualization * Scalability issues ORGANIZING COMMITTEE * Anatoliy Gruzd, Ryerson University, Canada - Conference Chair * Priya Kumar, Ryerson University, Canada - Conference Chair * Philip Mai, Ryerson University, Canada - Conference Chair * Jenna Jacobson, Ryerson University, Canada - Full Paper Chair * Raquel Recuero, Universidade Federal de Pelotas (UFPel), Brazil - Full Paper Chair * Hazel Kwon, Arizona State University, USA - WIP Chair * Jeff Hemsley, Syracuse University, USA - WIP Chair * Anabel Quan-Haase, Western University, Canada - Panel Chair * Luke Sloan, Cardiff University, UK - Panel Chair * Jaigris Hodson, Royal Roads University, Canada - Poster Chair ADVISORY BOARD * Susan Halford, University of Southampton, UK * Caroline Haythornthwaite, Syracuse University, USA * Zizi Papacharissi, University of Illinois at Chicago, USA * Barry Wellman, INSNA Founder, The NetLab Network, Canada

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Re: [Wiki-research-l] [Wikidata] Semantic annotation of red links on Wikipedia
by Diego Saez-Trumper 26 Sep '18

26 Sep '18

Hi, Kateryna is working on this: https://meta.wikimedia.org/wiki/Research:Matching_Red_Links_with_Wikidata_I… Please ping or write in the discussion page if you want to know more o give ideas about this. Best, Diego Date: Tue, 25 Sep 2018 16:40:06 +0300 > From: 80hnhtv4agou(a)bk.ru > To: Discussion list for the Wikidata project > <wikidata(a)lists.wikimedia.org> > Cc: wikidata-bugs <wikidata-bugs(a)lists.wikimedia.org>, Wikitech - l > <wikitech-l(a)lists.wikimedia.org>, wikimedia - l > <wikimedia-l(a)lists.wikimedia.org>, wikidata-tech > <wikidata-tech(a)lists.wikimedia.org>, wiki-research - l > <wiki-research-l(a)lists.wikimedia.org> > Subject: Re: [Wiki-research-l] [Wikidata] Semantic annotation of red > links on Wikipedia > Message-ID: <1537882806.518826391(a)f478.i.mail.ru> > Content-Type: text/plain; charset=utf-8 > > > All that red makes the page look bad, and i would like to point out the > abuse factor here, all those red links start edit wars, > > and should be put there if any by people, > > The creation of the wikidata page also creats a problem, because it does > not establis a lable which should be mandatory > > and in english, > in the save proses. > > and this problem * > https://www.wikidata.org/wiki/Wikidata:WikiProject_Labels_and_descriptions#… > > > > >Tuesday, September 25, 2018 2:58 AM -05:00 from Sergey Leschina < > mail(a)putnik.ws>: > > > >I want to draw your attention to the problem from the other side. On the > newly created page, which can be opened by the red link, there is no > binding to the Wikidata. This means that after the creation, the page will > not automatically be linked to the Wikidata. And if the project has > templates that can use information from the Wikidata, they will not fully > work until the page will be saved at least once and linked to an item. I > already suggested to add the parameter for this: > https://phabricator.wikimedia.org/T178249 > > > >If something like this will be implemented, then it will be possible to > make a template for the red links (with Lua and TemplateStyles) that will > be connected to the Wikidata. Although I agree that it is better to have a > syntax that will allow to make links without such difficulties. > >пн, 24 сент. 2018 г. в 20:50, Maarten Dammers < maarten(a)mdammers.nl >: > >>Hi everyone, > >> > >>According to https://www.youtube.com/watch?v=TLuM4E6IE5U : "Semantic > >>annotation is the process of attaching additional information to various > >>concepts (e.g. people, things, places, organizations etc) in a given > >>text or any other content. Unlike classic text annotations for reader's > >>reference, semantic annotations are used by machines to refer to." > >>(more at > >>https://ontotext.com/knowledgehub/fundamentals/semantic-annotation/ ) > >> > >>On Wikipedia a red link is a link to an article that hasn't been created > >>(yet) in that language. Often another language does have an article > >>about the subject or at least we have a Wikidata item about the subject. > >>Take for example > >>https://nl.wikipedia.org/w/index.php?title=Friedrich_Ris . It has over > >>250 incoming links, but the person doesn't have an article in Dutch. We > >>have a Wikidata item with links to 7 Wikipedia's at > >>https://www.wikidata.org/wiki/Q116510 , but no way to relate > >>https://nl.wikipedia.org/w/index.php?title=Friedrich_Ris with > >>https://www.wikidata.org/wiki/Q116510 . > >> > >>Wouldn't it be nice to be able to make a connection between the red link > >>on Wikipedia and the Wikidata item? > >> > >>Let's assume we have this list somewhere. We would be able to offer all > >>sorts of nice features to our users like: > >>* Hover of the link to get a hovercard in your favorite backup language > >>* Generate an article placeholder for the user with basic information in > >>the local language > >>* Pre-populate the translate extension so you can translate the article > >>from another language > >>(probably plenty of other good uses) > >> > >>Where to store this link? I'm not sure about that. On some Wikipedia's > >>people have tested with local templates around the red links. That's not > >>structured data, clutters up the Wikitext, it doesn't scale and the > >>local communities generally don't seem to like the approach. That's not > >>the way to go. Maybe a better option would be to create a new property > >>on Wikidata to store the name of the future article. Something like > >>Q116510: Pxxx -> (nl)"Friedrich Ris". Would be easiest because the > >>infrastructure is there and you can just build tools on top of it, but > >>I'm afraid this will cause a lot of noise on items. A couple of > >>suggestions wouldn't be a problem, but what is keeping people from > >>adding the suggestion in 100 languages? Or maybe restrict the usage that > >>a Wikipedia must have at least 1 (or n) incoming links before people are > >>allowed to add it? > >>We could create a new projects on the Wikimedia Cloud to store the > >>links, but that would be quite the extra time investment setting up > >>everything. > >> > >>What do you think? > >> > >>Maarten > >> > >> > >> > >> > >>_______________________________________________ > >>Wikidata mailing list > >>Wikidata(a)lists.wikimedia.org > >>https://lists.wikimedia.org/mailman/listinfo/wikidata > > > > > >-- > >Sergey Leschina > >_______________________________________________ > >Wikidata mailing list > >Wikidata(a)lists.wikimedia.org > >https://lists.wikimedia.org/mailman/listinfo/wikidata > > >

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Brief unavailability scheduled for the Event Logging database replica
by Luca Toscano 26 Sep '18

26 Sep '18

Hi everybody, Tomorrow Sept 27th at 10 CEST db1108 (alias analytics-slave) will be down for a brief (max 30 mins) maintenance (Mariadb and Linux kernel upgrade). This means that the log database will not be available for querying during this time frame. Please reach out to me or to the Analytics team if this impacts your work (elukey or #wikimedia-analytics on IRC Freenode). Thanks! Luca

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Re: [Wiki-research-l] [Wikidata] Semantic annotation of red links on Wikipedia
by 80hnhtv4agou＠bk.ru 25 Sep '18

25 Sep '18

All that red makes the page look bad, and i would like to point out the abuse factor here, all those red links start edit wars, and should be put there if any by people, The creation of the wikidata page also creats a problem, because it does not establis a lable which should be mandatory and in english, in the save proses. and this problem * https://www.wikidata.org/wiki/Wikidata:WikiProject_Labels_and_descriptions#… >Tuesday, September 25, 2018 2:58 AM -05:00 from Sergey Leschina <mail(a)putnik.ws>: > >I want to draw your attention to the problem from the other side. On the newly created page, which can be opened by the red link, there is no binding to the Wikidata. This means that after the creation, the page will not automatically be linked to the Wikidata. And if the project has templates that can use information from the Wikidata, they will not fully work until the page will be saved at least once and linked to an item. I already suggested to add the parameter for this: https://phabricator.wikimedia.org/T178249 > >If something like this will be implemented, then it will be possible to make a template for the red links (with Lua and TemplateStyles) that will be connected to the Wikidata. Although I agree that it is better to have a syntax that will allow to make links without such difficulties. >пн, 24 сент. 2018 г. в 20:50, Maarten Dammers < maarten(a)mdammers.nl >: >>Hi everyone, >> >>According to https://www.youtube.com/watch?v=TLuM4E6IE5U : "Semantic >>annotation is the process of attaching additional information to various >>concepts (e.g. people, things, places, organizations etc) in a given >>text or any other content. Unlike classic text annotations for reader's >>reference, semantic annotations are used by machines to refer to." >>(more at >>https://ontotext.com/knowledgehub/fundamentals/semantic-annotation/ ) >> >>On Wikipedia a red link is a link to an article that hasn't been created >>(yet) in that language. Often another language does have an article >>about the subject or at least we have a Wikidata item about the subject. >>Take for example >>https://nl.wikipedia.org/w/index.php?title=Friedrich_Ris . It has over >>250 incoming links, but the person doesn't have an article in Dutch. We >>have a Wikidata item with links to 7 Wikipedia's at >>https://www.wikidata.org/wiki/Q116510 , but no way to relate >>https://nl.wikipedia.org/w/index.php?title=Friedrich_Ris with >>https://www.wikidata.org/wiki/Q116510 . >> >>Wouldn't it be nice to be able to make a connection between the red link >>on Wikipedia and the Wikidata item? >> >>Let's assume we have this list somewhere. We would be able to offer all >>sorts of nice features to our users like: >>* Hover of the link to get a hovercard in your favorite backup language >>* Generate an article placeholder for the user with basic information in >>the local language >>* Pre-populate the translate extension so you can translate the article >>from another language >>(probably plenty of other good uses) >> >>Where to store this link? I'm not sure about that. On some Wikipedia's >>people have tested with local templates around the red links. That's not >>structured data, clutters up the Wikitext, it doesn't scale and the >>local communities generally don't seem to like the approach. That's not >>the way to go. Maybe a better option would be to create a new property >>on Wikidata to store the name of the future article. Something like >>Q116510: Pxxx -> (nl)"Friedrich Ris". Would be easiest because the >>infrastructure is there and you can just build tools on top of it, but >>I'm afraid this will cause a lot of noise on items. A couple of >>suggestions wouldn't be a problem, but what is keeping people from >>adding the suggestion in 100 languages? Or maybe restrict the usage that >>a Wikipedia must have at least 1 (or n) incoming links before people are >>allowed to add it? >>We could create a new projects on the Wikimedia Cloud to store the >>links, but that would be quite the extra time investment setting up >>everything. >> >>What do you think? >> >>Maarten >> >> >> >> >>_______________________________________________ >>Wikidata mailing list >>Wikidata(a)lists.wikimedia.org >>https://lists.wikimedia.org/mailman/listinfo/wikidata > > >-- >Sergey Leschina >_______________________________________________ >Wikidata mailing list >Wikidata(a)lists.wikimedia.org >https://lists.wikimedia.org/mailman/listinfo/wikidata

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Analytics Hadoop cluster full shutdown scheduled for Sept 25th
by Luca Toscano 25 Sep '18

25 Sep '18

Hi everybody, the Analytics team needs to replace the Hadoop master node hosts (analytics100[1,2]) and the Hive/Oozie host (analytics1003) as part of regular hardware refresh (hosts getting out of warranty). In order to do things safely we decided to proceed with a full cluster shutdown on Sept 25th at 10 AM CEST. The maintenance should last a couple of hours and all there shouldn't be any noticeable change for the Hadoop users. This means that during the maintenance: - HDFS will not be available - Yarn will not be available - Hive/Spark (cluster mode)/Oozie/etc.. will not be available Please let us know if this impacts your work in https://phabricator.wikimedia.org/T203635 or on the #wikimedia-analytics Freenode IRC channel. Thanks a lot! Luca

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Upcoming Research Newsletter: New Papers Open For Review
by Mohammed Sadat Abdulai 23 Sep '18

23 Sep '18

Hi everyone, We’re preparing for the August 2018 research newsletter and looking for contributors. Please take a look at https://etherpad.wikimedia.org/p/WRN201808 and add your name next to any paper you are interested in covering. Our target publication date is on September 28 UTC although actual publication might happen several days later. As usual, short notes and one-paragraph reviews are most welcome. Highlights from this month: - "Sharing Small Pieces of the World": Increasing and Broadening Participation in Wikimedia Commons - A Wikia Census: Motives, Tools and and Insights - Characterizing the Triggering Phenomenon in Wikipedia - Comparative Analysis of the Informativeness and Encyclopedic Style of the Popular Web Information Sources - Do less active participants make active participants more active? An examination of Chinese Wikipedia - Do We All Talk Before We Type?: Understanding Collaboration in Wikipedia Language Editions - Evaluating Wikipedia as a Source of Information for Disease Understanding - Neural Article Pair Modeling for Wikipedia Sub-article Matching - The Battle for Wikipedia: The New Age of ‘Lost Victories’? - The impact of news exposure on collective attention in the United States during the 2016 Zika epidemic - University Students in the Educational Field and Wikipedia Vandalism - What is the Commons Worth? Estimating the Value of Wikimedia Imagery by Observing Downstream Use Masssly, Tilman Bayer and Dario Taraborelli [1] http://meta.wikimedia.org/wiki/Research:Newsletter

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Anonymous editing
by Kevin G Crowston 20 Sep '18

20 Sep '18

Jonathan Cardy <werespielchequers(a)gmail.com<mailto:werespielchequers@gmail.com>> wrote: In case I didn’t make it clear, I am very much of the camp that IP editing is our lifeline, the way we recruit new members. Tangentially elated to this question, we have a forthcoming paper at the CSCW conference about how research conclusions change when anonymous work (e.g., IP editing) is taken into account. We looked at data from a citizen science project. Short answer: it makes a difference. The paper isn’t up on the ACM DL yet, but you can see it here: https://crowston.syr.edu/node/756 Doing the study requires access to IP addresses for logged in users, so someone at WMF would have to do the study for Wikipedia, which would be really interesting and would speak to the question of whether IP editing is a gateway to further editing. Kevin Crowston Associate Dean for Research, Distinguished Professor of Information Science School of Information Studies +1 (315) 443.1676<tel:+1%20(315)%20443.1676> crowston(a)syr.edu<mailto:crowston@syr.edu> 348 Hinds Hall, Syracuse, NY 13244 crowston.syr.edu <http://crowston.syr.edu/> Syracuse University Most recent publication: Kevin Crowston, Isabelle Fagnot. (2018). Stages of motivation for contributing user-generated content: A theory and empirical test. International Journal of Human-Computer Studies, 109, 89-101, doi: 10.1016/j.ijhcs.2017.08.005<http://dx.doi.org/10.1016/j.ijhcs.2017.08.005> . Check out our new research coordination network on Work in the Age of Intelligent Machine: http://waim.network/

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Wiki-research-l September 2018