Analytics

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1825 discussions

[Wikimedia Research Showcase] Content Moderation
by Janna Layton 17 Nov '21

17 Nov '21

Hello all, The next Wikimedia Research Showcase will be on Wednesday, November 17, at 17:30 UTC (9:30am PST/12:30pm EST/ 18:30 CET). The topic is content moderation. Livestream: https://www.youtube.com/watch?v=Rx3xesDkp2o *Amy S. Bruckman (Georgia Institute of Technology, USA)Is Deplatforming Censorship? What happened when controversial figures were deplatformed, with philosophical musings on the nature of free speech* Abstract: When a controversial figure is deplatformed, what happens to their online influence? In this talk, first, I’ll present results from a study of the deplatforming from Twitter of three figures who repeatedly broke platform rules (Alex Jones, Milo Yiannopoulos, and Owen Benjamin). Second, I’ll discuss what happened when this study was on the front page of Reddit, and the range of angry reactions from people who say that they’re in favor of “free speech.” I’ll explore the nature of free speech, and why our current speech regulation framework is fundamentally broken. Finally, I’ll conclude with thoughts on the strength of Wikipedia’s model in contrast to other platforms, and highlight opportunities for improvement. *Nathan TeBlunthuis (University of Washington / Northwestern University, USA)Effects of Algorithmic Flagging on Fairness. Quasi-experimental Evidence from Wikipedia* Abstract: Online community moderators often rely on social signals such as whether or not a user has an account or a profile page as clues that users may cause problems. Reliance on these clues can lead to "overprofiling bias when moderators focus on these signals but overlook the misbehavior of others. We propose that algorithmic flagging systems deployed to improve the efficiency of moderation work can also make moderation actions more fair to these users by reducing reliance on social signals and making norm violations by everyone else more visible. We analyze moderator behavior in Wikipedia as mediated by RCFilters, a system which displays social signals and algorithmic flags, and estimate the causal effect of being flagged on moderator actions. We show that algorithmically flagged edits are reverted more often, especially those by established editors with positive social signals, and that flagging decreases the likelihood that moderation actions will be undone. Our results suggest that algorithmic flagging systems can lead to increased fairness in some contexts but that the relationship is complex and contingent. https://www.mediawiki.org/wiki/Wikimedia_Research/Showcase -- Janna Layton (she/her) Administrative Associate - Product & Technology Wikimedia Foundation <https://wikimediafoundation.org/>

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Geoeditors: includes bots?
by Nathalie.Casemajor＠ucs.inrs.ca 01 Nov '21

01 Nov '21

Hello, I read the documentation page on Geoeditors but it does not explicitly specifies if it includes bots activity. My understanding is that it does. Is that correct? https://wikitech.wikimedia.org/wiki/Analytics/Data_Lake/Edits/Geoeditors/Pu… Thanks! Nathalie

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Invitation to Wikimedia Research Office hours November 2, 2021
by Emily Lescak 28 Oct '21

28 Oct '21

Hi all, Join the Research Team at the Wikimedia Foundation [1] for their monthly Office hours this Tuesday, 2021-11-02, at 12:00-13:00 UTC (5am PT/8am ET/1pm CET). Please note the time change! We are experimenting with our Office hours schedules to make our sessions more globally welcoming. To participate, join the video-call via this link [2]. There is no set agenda - feel free to add your item to the list of topics in the etherpad [3]. You are welcome to add questions / items to the etherpad in advance, or when you arrive at the session. Even if you are unable to attend the session, you can leave a question that we can address asynchronously. If you do not have a specific agenda item, you are welcome to hang out and enjoy the conversation. More detailed information (e.g. about how to attend) can be found here [4]. Through these office hours, we aim to make ourselves more available to answer research related questions that you as Wikimedia volunteer editors, organizers, affiliates, staff, and researchers face in your projects and initiatives. Here are some example cases we hope to be able to support you with: - You have a specific research related question that you suspect you should be able to answer with the publicly available data and you don’t know how to find an answer for it, or you just need some more help with it. For example, how can I compute the ratio of anonymous to registered editors in my wiki? - You run into repetitive or very manual work as part of your Wikimedia contributions and you wish to find out if there are ways to use machines to improve your workflows. These types of conversations can sometimes be harder to find an answer for during an office hour. However, discussing them can help us understand your challenges better and we may find ways to work with each other to support you in addressing it in the future. - You want to learn what the Research team at the Wikimedia Foundation does and how we can potentially support you. Specifically for affiliates: if you are interested in building relationships with the academic institutions in your country, we would love to talk with you and learn more. We have a series of programs that aim to expand the network of Wikimedia researchers globally and we would love to collaborate with those of you interested more closely in this space. - You want to talk with us about one of our existing programs [5]. Hope to see many of you, Emily on behalf of the WMF Research Team [1] https://research.wikimedia.org [2] https://meet.jit.si/WMF-Research-Office-Hours [3] https://etherpad.wikimedia.org/p/Research-Analytics-Office-hours [4] https://www.mediawiki.org/wiki/Wikimedia_Research/Office_hours [5] https://research.wikimedia.org/projects.html -- Emily Lescak (she / her) Senior Research Community Officer The Wikimedia Foundation

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[Wikimedia Research Showcase] Bridging knowledge gaps
by Janna Layton 27 Oct '21

27 Oct '21

Hi all, The next Wikimedia Research Showcase will be on October 27, 16:30 UTC (9:30am PT/ 12:30pm ET/ 18:30pm CEST). The Wikimedia Foundation Research Team will present on knowledge gaps. Livestream: https://www.youtube.com/watch?v=d0Qg98EVmuI Speaker: Wikimedia Foundation Research Team Title: Automatic approaches to bridge knowledge gaps in Wikimedia projects Abstract: In order to advance knowledge equity as part of the Wikimedia Movement’s 2030 strategic direction, the Research team at the Wikimedia Foundation has been conducting research to “Address Knowledge Gaps” as one of its main programs. One core component of this program is to develop technologies to bridge knowledge gaps. In this talk, we give an overview on how we approach this task using tools from Machine Learning in four different contexts: section alignment in content translation, link recommendation in structured editing, image recommendation in multimedia knowledge gaps, and the equity of the recommendations themselves. We will present how these models can assist contributors in addressing knowledge gaps. Finally, we will discuss the impact of these models in applications deployed across Wikimedia projects supporting different Product initiatives at the Wikimedia Foundation. More information: * Section alignment: meta:Research:Expanding_Wikipedia_articles_across_languages/Inter_language_approach#Section_Alignment <https://meta.wikimedia.org/wiki/Research:Expanding_Wikipedia_articles_acros…> * Link recommendation: meta:Research:Link_recommendation_model_for_add-a-link_structured_task <https://meta.wikimedia.org/wiki/Research:Link_recommendation_model_for_add-…> * Image recommendation: meta:Research:Recommending_Images_to_Wikipedia_Articles <https://meta.wikimedia.org/wiki/Research:Recommending_Images_to_Wikipedia_A…> * Equity in recommendations: meta:Research:Prioritization_of_Wikipedia_Articles/Recommendation <https://meta.wikimedia.org/wiki/Research:Prioritization_of_Wikipedia_Articl…> -- Janna Layton (she/her) Administrative Associate - Product & Technology Wikimedia Foundation <https://wikimediafoundation.org/> -- Janna Layton (she/her) Administrative Associate - Product & Technology Wikimedia Foundation <https://wikimediafoundation.org/>

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Data Gap in API page view data on Oct 21
by Joshua Haecker 25 Oct '21

25 Oct '21

Data gap in API. Hey all, does anyone know if there is a plan to get the API loaded with data for Oct 21st. Seeing a lot of language versions missing data just for that day, even if they have data the day before and after. Languages I've noticed with the gap include: Arabic, Chinese, Russian, Japanese, Turkish, VIetnamese, Thai, and Portuguese. I'm sure there are others as well One example seen below: https://pageviews.toolforge.org/?project=zh.wikipedia.org&platform=all-acce…

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WMF Pageviews Dataset
by Charel Felten 30 Sep '21

30 Sep '21

Dear Wikimedia analytics team, We are 3 master students from Vrije Universiteit Amsterdam (VU) and Universtity of Amsterdam (UVA) doing a large scale data engineering project about detecting DDOS attacks on Wikipedia by analysing page views and traffic and trying to distinguish e.g. DDOS attacks from trending topics. For this project, we need a lot of data. We found two sources of public data, Pageview complete (https://dumps.wikimedia.org/other/pageview_complete/) and the filtered version thereof (https://dumps.wikimedia.org/other/pageviews/). While these dumps are already quite useful, we also found that there is a dataset with even more information (https://wikitech.wikimedia.org/wiki/Analytics/Data_Lake/Traffic/Pageview_ho…), in particular it contains the country a pageview came from and the referer, which could both be very useful for our project. According to the above page, this dataset has been made private since 2018. We would like to ask whether it is possible to have access to this dataset for our research, or any other extended version of the public dump, which would enable us to do more in-depth research. We have our own cluster so we could work on a copy of the data. Moreover we would like to share our project and all our results with you to help contribute to your security measures. Best regards, Charel Felten, Gilles Magalhaes and Aleksander Janczewski

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Invitation to Wikimedia Research Office hours October 5, 2021
by Emily Lescak 29 Sep '21

29 Sep '21

Hi all, Join the Research Team at the Wikimedia Foundation [1] for their monthly Office hours next Tuesday, 2021-10-05, at 16:00-17:00 UTC (9am PT/6pm CEST). To participate, join the video-call via this link [2]. There is no set agenda - feel free to add your item to the list of topics in the etherpad [3] (You can do this after you join the meeting, too.), otherwise you are welcome to also just hang out. More detailed information (e.g. about how to attend) can be found here [4]. Through these office hours, we aim to make ourselves more available to answer some of the research related questions that you as Wikimedia volunteer editors, organizers, affiliates, staff, and researchers face in your projects and initiatives. Some example cases we hope to be able to support you in: - You have a specific research related question that you suspect you should be able to answer with the publicly available data and you don’t know how to find an answer for it, or you just need some more help with it. For example, how can I compute the ratio of anonymous to registered editors in my wiki? - You run into repetitive or very manual work as part of your Wikimedia contributions and you wish to find out if there are ways to use machines to improve your workflows. These types of conversations can sometimes be harder to find an answer for during an office hour, however, discussing them can help us understand your challenges better and we may find ways to work with each other to support you in addressing it in the future. - You want to learn what the Research team at the Wikimedia Foundation does and how we can potentially support you. Specifically for affiliates: if you are interested in building relationships with the academic institutions in your country, we would love to talk with you and learn more. We have a series of programs that aim to expand the network of Wikimedia researchers globally and we would love to collaborate with those of you interested more closely in this space. - You want to talk with us about one of our existing programs [5]. Hope to see many of you, Emily on behalf of the WMF Research Team [1] https://research.wikimedia.org [2] https://meet.jit.si/WMF-Research-Office-Hours [3] https://etherpad.wikimedia.org/p/Research-Analytics-Office-hours [4] https://www.mediawiki.org/wiki/Wikimedia_Research/Office_hours [5] https://research.wikimedia.org/projects.html -- Emily Lescak (she / her) Senior Research Community Officer The Wikimedia Foundation

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Access Wikipedia Metadata - API/Dumps/Query Replicas?
by Cristina Gava 17 Sep '21

17 Sep '21

TL;DR I would like to access wikipedia's articles' metadata (such as # edits, pageviews etc). I need to access a big volume of instances in order to train and maintain an online classifier and the API seems not sustainable. I was wondering which tool is the most appropriate for this task. Hello everyone, It is my first time interacting in this mailing list, so I will be happy to receive further feedbacks on how to better interact with the community :) I crossposted this message to Wiki-research-l as well. I am trying to access Wikipedia meta data in a streaming and time/resource sustainable manner. By meta data I mean many of the voices that can be found in the statistics of a wiki article, such as edits, editors list, page views etc. I would like to do such for an online classifier type of structure: retrieve the data from a big number of wiki pages every tot time and use it as input for predictions. I tried to use the Wiki API, however it is time and resource expensive, both for me and Wikipedia. My preferred choice now would be to query the specific tables in the Wikipedia database, in the same way this is done through the Quarry tool. The problem with Quarry is that I would like to build a standalone script, without having to depend on a user interface like Quarry. Do you think that this is possible? I am still fairly new to all of this and I don’t know exactly which is the best direction. I saw [1] that I could access wiki replicas both through Toolforge and PAWS, however I didn’t understand which one would serve me better, could I ask you for some feedback? Also, as far as I understood [2], directly accessing the DB through Hive is too technical for what I need, right? Especially because it seems that I would need an account with production shell access and I honestly don’t think that I would be granted access to it. Also, I am not interested in accessing sensible and private data. Last resource is parsing analytics dumps, however this seems less organic in the way of retrieving and polishing the data. As also, it would be strongly decentralised and physical-machine dependent, unless I upload the polished data online every time. Sorry for this long message, but I thought it was better to give you a clearer picture (hoping this is clear enough). If you could give me even some hint it would be highly appreciated. Best, Cristina

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[Wikimedia Research Showcase] September 15, 2021: Socialization on Wikipedia
by Janna Layton 15 Sep '21

15 Sep '21

Hello all, The September Wikimedia Research Showcase will be on September 15 at 16:30 UTC (9:30am PT/ 12:30pm ET/ 18:30pm CEST). The theme will be "socialization on Wikipedia" with speakers Rosta Farzan and J. Nathan Matias. Livestream: https://www.youtube.com/watch?v=YVqabVvLIZU Talk 1 Speaker: Rosta Farzan (School of Computing and Information, University of Pittsburgh) Title: Unlocking the Wikipedia clubhouse to newcomers: results from two studies Abstract: It is no news to any of us that success of online production communities such as Wikipedia highly relies on a continuous stream of newcomers to replace the inevitable high turnover and to bring on board new sources of ideas and workforce. However, these communities have been struggling with attracting newcomers, especially from a diverse population of users, and further retention of newcomers. In this talk, I will present about two different approaches in engaging new editors in Wikipedia: (1) newcomers joining through the Wiki Ed program, an online program in which college students edit Wikipedia articles as class assignments; (2) newcomers joining through a Wikipedia Art+Feminism edit-a-thon. I present how each approach incorporated techniques in engaging newcomers and how they succeed in attracting and retention of newcomers. More information: - Bring on Board New Enthusiasts! A Case Study of Impact of Wikipedia Art + Feminism Edit-A-Thon Events on Newcomers <https://link.springer.com/chapter/10.1007/978-3-319-47880-7_2>, SocInfo 2016 (pdf <http://saviaga.com/wp-content/uploads/2016/06/socinfo_ediathons.pdf>) - Successful Online Socialization: Lessons from the Wikipedia Education Program <https://dl.acm.org/doi/abs/10.1145/3392857>, CSCW 2020 (pdf <https://www.cc.gatech.edu/~dyang888/docs/cscw_li_2020_wiki.pdf>) Talk 2 Speaker: J. Nathan Matias <http://natematias.com/> (Citizens and Technology Lab <http://citizensandtech.org/>, Cornell University Departments of Communication and Information Science) Title: The Effect of Receiving Appreciation on Wikipedias. A Community Co-Designed Field Experiment Abstract: Can saying “thank you” make online communities stronger & more inclusive? Or does thanking others for their voluntary efforts have little effect? To ask this question, the Citizens and Technology Lab (CAT Lab) organized 344 volunteers to send thanks to Wikipedia contributors across the Arabic, German, Polish, and Persian languages. We then observed the behavior of 15,558 newcomers and experienced contributors to Wikipedia. On average, we found that organizing volunteers to thank others increases two-week retention of newcomers and experienced accounts. It also caused people to send more thanks to others. This study was a field experiment, a randomized trial that sent thanks to some people and not to others. These experiments can help answer questions about the impact of community practices and platform design. But they can sometimes face community mistrust, especially when researchers conduct them without community consent. In this talk, learn more about CAT Lab's approach to community-led research and discuss open questions about best practices. More information: - Volunteers Thanked Thousands of Wikipedia Editors to Learn the Effects of Receiving Thanks <https://citizensandtech.org/2020/06/effects-of-saying-thanks-on-wikipedia/>, blogpost (in EN, DE, AR, PL, FA) <https://osf.io/ueq5f/> - The Diffusion and Influence of Gratitude Expressions in Large-Scale Cooperation: A Field Experiment in Four Knowledge Networks <https://osf.io/ueq5f/>, paper preprint More information: https://www.mediawiki.org/wiki/Wikimedia_Research/Showcase -- Janna Layton (she/her) Administrative Associate - Product & Technology Wikimedia Foundation <https://wikimediafoundation.org/>

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Invitation for Wikimedia Research Office hours September 07, 2021
by Martin Gerlach 07 Sep '21

07 Sep '21

Hi all, Join the Research Team at the Wikimedia Foundation [1] for their monthly Office hours next Tuesday, 2021-09-07, at 16:00-17:00 UTC (9am PT/6pm CEST). To participate, join the video-call via this link [2]. There is no set agenda - feel free to add your item to the list of topics in the etherpad [3] (You can do this after you join the meeting, too.), otherwise you are welcome to also just hang out. More detailed information (e.g. about how to attend) can be found here [4]. Through these office hours, we aim to make ourselves more available to answer some of the research related questions that you as Wikimedia volunteer editors, organizers, affiliates, staff, and researchers face in your projects and initiatives. Some example cases we hope to be able to support you in: - You have a specific research related question that you suspect you should be able to answer with the publicly available data and you don’t know how to find an answer for it, or you just need some more help with it. For example, how can I compute the ratio of anonymous to registered editors in my wiki? - You run into repetitive or very manual work as part of your Wikimedia contributions and you wish to find out if there are ways to use machines to improve your workflows. These types of conversations can sometimes be harder to find an answer for during an office hour, however, discussing them can help us understand your challenges better and we may find ways to work with each other to support you in addressing it in the future. - You want to learn what the Research team at the Wikimedia Foundation does and how we can potentially support you. Specifically for affiliates: if you are interested in building relationships with the academic institutions in your country, we would love to talk with you and learn more. We have a series of programs that aim to expand the network of Wikimedia researchers globally and we would love to collaborate with those of you interested more closely in this space. - You want to talk with us about one of our existing programs [5]. Hope to see many of you, Martin on behalf of the WMF Research Team [1] https://research.wikimedia.org [2] https://meet.jit.si/WMF-Research-Office-Hours [3] https://etherpad.wikimedia.org/p/Research-Analytics-Office-hours [4] https://www.mediawiki.org/wiki/Wikimedia_Research/Office_hours [5] https://research.wikimedia.org/projects.html -- Martin Gerlach Research Scientist Wikimedia Foundation

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