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18322 discussions

mailman3 and shutting down wikien-l
by David Gerard 22 Apr '21

22 Apr '21

This list has been dormant for several years now - all traffic has been multiply-cc'ed announcements. As such, I'm going to recommend that with the mailman3 upgrade (which is finally happening!), we shut and archive this list. Past posts should still be available - this list is important historically, but hasn't been a current communications channel for years. - d.

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Fwd: [Wikitech-l] New Feature from Community Tech: Enhanced Password Reset
by Pine W 16 May '20

16 May '20

Forwarding to project email lists. Pine ( https://meta.wikimedia.org/wiki/User:Pine ) ---------- Forwarded message --------- From: Ilana Fried <ifried(a)wikimedia.org> Date: Mon, May 11, 2020 at 10:01 PM Subject: [Wikitech-l] New Feature from Community Tech: Enhanced Password Reset To: <wikitech-l(a)lists.wikimedia.org> Hello everyone, The Community Tech team[1] has released a new feature: Enhanced Password Reset[2]. We developed this feature in response to the #3 wish[3] from the 2019 Community Wishlist Survey[4]. With this feature, you can prevent password reset emails from being sent unless both your username and email address are provided on Special:PasswordReset. This is an optional feature, available in the “Email options” section of Preferences. If you enable the feature, you can reduce harassment through unsolicited password reset emails. For more information, you can visit the Help:Password Reset page[5] and the project page[6]. Thank you, Ilana Fried Product Manager, Community Tech [1]. https://meta.wikimedia.org/wiki/Community_Tech [2]. https://www.mediawiki.org/wiki/Help:Reset_password#I%E2%80%99m_getting_pass… [3]. https://meta.wikimedia.org/wiki/Community_Wishlist_Survey_2019/Anti-harassm… [4]. https://meta.wikimedia.org/wiki/Community_Wishlist_Survey_2019/Results [5] https://www.mediawiki.org/wiki/Help:Reset_password [6] https://meta.wikimedia.org/wiki/Community_Tech/Password_Reset_Update _______________________________________________ Wikitech-l mailing list Wikitech-l(a)lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/wikitech-l

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Fwd: [Wiki-research-l] [Wikimedia Research Showcase] May 20, 2020: Human in the Loop Machine Learning
by Pine W 16 May '20

16 May '20

Forwarding. Pine ( https://meta.wikimedia.org/wiki/User:Pine ) ---------- Forwarded message --------- From: Janna Layton <jlayton(a)wikimedia.org> Date: Fri, May 15, 2020 at 8:05 PM Subject: [Wiki-research-l] [Wikimedia Research Showcase] May 20, 2020: Human in the Loop Machine Learning To: <analytics(a)lists.wikimedia.org>, <wikimedia-l(a)lists.wikimedia.org>, <wiki-research-l(a)lists.wikimedia.org> Hi all, The next Research Showcase will be live-streamed on Wednesday, May 20, at 9:30 AM PDT/16:30 UTC. This month we will learn about recent research on machine learning systems that rely on human supervision for their learning and optimization -- a research area commonly referred to as Human-in-the-Loop ML. In the first talk, Jie Yang will present a computational framework that relies on crowdsourcing to identify influencers in Social Networks (Twitter) by selectively obtaining labeled data. In the second talk, Estelle Smith will discuss the role of the community in maintaining ORES, the machine learning system that predicts the quality in Wikipedia applications. YouTube stream: https://www.youtube.com/watch?v=8nDiu2ebdOI 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: *OpenCrowd: A Human-AI Collaborative Approach for Finding Social Influencers via Open-Ended Answers Aggregation* By: Jie Yang, Amazon (current), Delft University of Technology (starting soon) Finding social influencers is a fundamental task in many online applications ranging from brand marketing to opinion mining. Existing methods heavily rely on the availability of expert labels, whose collection is usually a laborious process even for domain experts. Using open-ended questions, crowdsourcing provides a cost-effective way to find a large number of social influencers in a short time. Individual crowd workers, however, only possess fragmented knowledge that is often of low quality. To tackle those issues, we present OpenCrowd, a unified Bayesian framework that seamlessly incorporates machine learning and crowdsourcing for effectively finding social influencers. To infer a set of influencers, OpenCrowd bootstraps the learning process using a small number of expert labels and then jointly learns a feature-based answer quality model and the reliability of the workers. Model parameters and worker reliability are updated iteratively, allowing their learning processes to benefit from each other until an agreement on the quality of the answers is reached. We derive a principled optimization algorithm based on variational inference with efficient updating rules for learning OpenCrowd parameters. Experimental results on finding social influencers in different domains show that our approach substantially improves the state of the art by 11.5% AUC. Moreover, we empirically show that our approach is particularly useful in finding micro-influencers, who are very directly engaged with smaller audiences. Paper: https://dl.acm.org/doi/fullHtml/10.1145/3366423.3380254 *Keeping Community in the Machine-Learning Loop* By: C. Estelle Smith, MS, PhD Candidate, GroupLens Research Lab at the University of Minnesota On Wikipedia, sophisticated algorithmic tools are used to assess the quality of edits and take corrective actions. However, algorithms can fail to solve the problems they were designed for if they conflict with the values of communities who use them. In this study, we take a Value-Sensitive Algorithm Design approach to understanding a community-created and -maintained machine learning-based algorithm called the Objective Revision Evaluation System (ORES)—a quality prediction system used in numerous Wikipedia applications and contexts. Five major values converged across stakeholder groups that ORES (and its dependent applications) should: (1) reduce the effort of community maintenance, (2) maintain human judgement as the final authority, (3) support differing peoples’ differing workflows, (4) encourage positive engagement with diverse editor groups, and (5) establish trustworthiness of people and algorithms within the community. We reveal tensions between these values and discuss implications for future research to improve algorithms like ORES. Paper: https://commons.wikimedia.org/wiki/File:Keeping_Community_in_the_Loop-_Unde… -- Janna Layton (she, her) Administrative Assistant - Product & Technology Wikimedia Foundation <https://wikimediafoundation.org/> _______________________________________________ Wiki-research-l mailing list Wiki-research-l(a)lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/wiki-research-l

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In the press: Wikipedia, WikiProject Medicine, and misinformation
by Pine W 15 Mar '20

15 Mar '20

FYI: *https://www.wired.co.uk/article/wikipedia-coronavirus *https://www.wired.com/story/how-wikipedia-prevents-spread-coronavirus-misinformation/ Pine ( https://meta.wikimedia.org/wiki/User:Pine )

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Passing of User:Brianboulton
by Pine W 05 Jan '20

05 Jan '20

Dear colleagues, The English Wikipedia community received news that User:Brianboulton <https://en.wikipedia.org/wiki/User:Brianboulton> passed. Quoting User:Schrocat <https://en.wikipedia.org/wiki/User:SchroCat>: "I have just received an email from Brian's daughter to say that he died peacefully on 9 December, following a long illness. Requiescat in pace. 106 FAs, 2 FLs, gawd knows how many source and prose reviews at FA, and countless numbers of editors helped, encouraged and improved over the years. A good friend to all who met him, and this place is a little less appealing now he won't be here anymore." Comments may be left on his talk page <https://en.wikipedia.org/wiki/User talk:Brianboulton>. Regards, Pine ( https://meta.wikimedia.org/wiki/User:Pine )

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Passing of User:Angusmclellan
by Pine W 05 Jan '20

05 Jan '20

Dear colleagues, I am writing to share the news of the passing <https://en.wikipedia.org/w/index.php?title=Wikipedia%3ABureaucrats%27_notic…> of User:Angusmclellan <https://en.wikipedia.org/wiki/User:Angusmclellan>. He made more than 64,000 contributions to English Wikipedia and more than 8,000 contributions to Wikimedia Commons. He became an administrator on English Wikipedia in 2007, and he was noted for work on topics related to Scotland and the Middle Ages. Comments may be left on his talk page <https://en.wikipedia.org/wiki/User_talk:Angusmclellan>. Regards, Pine ( https://meta.wikimedia.org/wiki/User:Pine )

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Fwd: [Wikimedia-l] RfC: binding desysop procedure on English Wikipedia
by Pine W 19 Oct '19

19 Oct '19

Hi Aron, Thanks for sharing your thoughts. However, I think that the more appropriate mailing list for this is WikiEN-l. I'm forwarding this thread there. Regarding your second point, I think that many admins are not selfish people and are often willing to criticize other admins, so I am not concerned that admins are participating in this discussion. I would be concerned if I felt that admins as a group are power hungry and are more interested in defending each other than in working for the best interests of the encyclopedia, but that is not my impression. I think that many admins are highly skilled, generous with their time, and willing to volunteer for thankless and sometimes personally risky activities. Those admins that cause problems are, sooner or later, usually in trouble with the Arbitration Committee. That is not to say that I'm opposed to a new desysop procedure, but I believe that most English Wikipedia admins are competent and act in good faith. Pine ( https://meta.wikimedia.org/wiki/User:Pine ) ---------- Forwarded message --------- From: Aron Manning <aronmanning5(a)gmail.com> Date: Sat, Oct 19, 2019 at 10:06 AM Subject: [Wikimedia-l] RfC: binding desysop procedure on English Wikipedia To: Wikimedia Mailing List <wikimedia-l(a)lists.wikimedia.org> https://en.wikipedia.org/wiki/Wikipedia:Requests_for_comment/2019_community… So far about 60% of the commenters are administrators, which role comes with an inherent and unavoidable conflict-of-interest. Although the discussion is quite neutral, administrators are a minor part of the community, thus hopefully editors will join the discussion as well, and share their views and suggestions on the topic. Aron _______________________________________________ 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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Fwd: [Wikitech-l] s1 (enwiki) primary master switchover (read-only required) 14th Nov 05:00 AM UTC
by Pine W 10 Oct '19

10 Oct '19

Early warning of planned technical maintenance window for ENWP. Pine ( https://meta.wikimedia.org/wiki/User:Pine ) ---------- Forwarded message --------- From: Manuel Arostegui <marostegui(a)wikimedia.org> Date: Mon, Oct 7, 2019 at 9:20 AM Subject: [Wikitech-l] s1 (enwiki) primary master switchover (read-only required) 14th Nov 05:00 AM UTC To: Operations Engineers <ops(a)lists.wikimedia.org>, Wikimedia developers < wikitech-l(a)lists.wikimedia.org> Hello, We have requested a 30 minutes read-only window for s1 (enwiki) (T234801) for the 14th November from 05:00-05:30 AM UTC to switchover that section primary database master (T234800) db1067 is an old host and out of warranty that will be decommissioned (T217396). The new master will be db1083 We are going to do this on Thursday 14th Nov from 05:00 to 05:30 AM UTC (we do not expect to use the 30 minutes window, if everything goes as expected). Impact: Writes will be blocked on the following wiki: enwiki Reads will remain unaffected. Communication will happen at #wikimedia-operations If you are around at that time and want to help with the monitoring, please join us! Thanks _______________________________________________ Wikitech-l mailing list Wikitech-l(a)lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/wikitech-l

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Fwd: [Analytics] [Wikimedia Research Showcase] October 16, 2019 at 9:30 AM PDT, 16:30 UTC
by Pine W 10 Oct '19

10 Oct '19

Forwarding in case this is of interest to others. Pine ( https://meta.wikimedia.org/wiki/User:Pine ) ---------- Forwarded message --------- From: Janna Layton <jlayton(a)wikimedia.org> Date: Thu, Oct 10, 2019 at 9:58 PM Subject: [Analytics] [Wikimedia Research Showcase] October 16, 2019 at 9:30 AM PDT, 16:30 UTC To: <wikimedia-l(a)lists.wikimedia.org>, <analytics(a)lists.wikimedia.org>, < wiki-research-l(a)lists.wikimedia.org> Hi all, The next Research Showcase will be live-streamed next Wednesday, October 16, at 9:30 AM PDT/16:30 UTC. YouTube stream: https://www.youtube.com/watch?v=KZ35weAVlIU 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: Elections Without Fake: Deploying Real Systems to Counter Misinformation Campaigns By Fabrício Benevenuto, Computer Science Department, Universidade Federal de Minas Gerais (UFMG), Brazil The political debate and electoral dispute in the online space during the 2018 Brazilian elections were marked by an information war. In order to mitigate the misinformation problem, we created the project Elections Without Fake <http://www.eleicoes-sem-fake.dcc.ufmg.br/> and developed a few technological solutions able to reduce the abuse of misinformation campaigns in the online space. Particularly, we created a system to monitor public groups in WhatsApp and a system to monitor ads in Facebook. Our systems showed to be fundamental for fact-checking and investigative journalism, and are currently being used by over 150 journalists with editorial lines and various fact-checking agencies. More info on second talk by Francesca Spezzano to come -- Janna Layton (she, her) Administrative Assistant - Product & Technology Wikimedia Foundation <https://wikimediafoundation.org/> _______________________________________________ Analytics mailing list Analytics(a)lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/analytics

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Fwd: [Analytics] [Wikimedia Research Showcase] July 17, 2019 at 11:30 AM PDT, 18:30 UTC
by Pine W 11 Jul '19

11 Jul '19

Forwarding an announcement. (Personal comments: what might appear to be consistent application of policies to one person might appear to be bullying to someone else. If I find the time to watch this video, I will be interested to hear from the researchers regarding this issue. I think that both of the presentations sound interesting.) Regards, Pine ( https://meta.wikimedia.org/wiki/User:Pine ) ---------- Forwarded message --------- From: Janna Layton <jlayton(a)wikimedia.org> Date: Thu, Jul 11, 2019 at 11:46 PM Subject: [Analytics] [Wikimedia Research Showcase] July 17, 2019 at 11:30 AM PDT, 18:30 UTC To: <wikimedia-l(a)lists.wikimedia.org>, <analytics(a)lists.wikimedia.org>, < wiki-research-l(a)lists.wikimedia.org> Hi all, The next Research Showcase will be live-streamed next Wednesday, July 17, at 11:30 AM PDT/18:30 UTC. YouTube stream: https://www.youtube.com/watch?v=i9vvwV5KfW4 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: Characterizing Incivility on Wikipedia Elizabeth Whittaker, University of Michigan School of Information In a society whose citizens have a variety of viewpoints, there is a question of how citizens can govern themselves in ways that allow these viewpoints to co-exist. Online deliberation has been posited as a problem solving mechanism in this context, and civility can be thought of as a mechanism that facilitates this deliberation. Civility can thus be thought of as a method of interaction that encourages collaboration, while incivility disrupts collaboration. However, it is important to note that the nature of online civility is shaped by its history and the technical architecture scaffolding it. Civility as a concept has been used both to promote equal deliberation and to exclude the marginalized from deliberation, so we should be careful to ensure that our conceptualizations of incivility reflect what we intend them to in order to avoid unintentionally reinforcing inequality. To this end, we examined Wikipedia editors’ perceptions of interactions that disrupt collaboration through 15 semi-structured interviews. Wikipedia is a highly deliberative platform, as editors need to reach consensus about what will appear on the article page, a process that often involves deliberation to coordinate, and any disruption to this process should be apparent. We found that incivility on Wikipedia typically occurs in one of three ways: through weaponization of Wikipedia’s policies, weaponization of Wikipedia’s technical features, and through more typical vitriolic content. These methods of incivility were gendered, and had the practical effect of discouraging women from editing. We implicate this pattern as one of the underlying causes of Wikipedia’s gender gap. Hidden Gems in the Wikipedia Discussions: The Wikipedians’ Rationales Lu Xiao, Syracuse University School of Information Studies I will present a series of completed and ongoing studies that are aimed at understanding the role of the Wikipedians’ rationales in Wikipedia discussions. We define a rationale as one’s justification of her viewpoint and suggestions. Our studies demonstrate the potential of leveraging the Wikipedians’ rationales in discussions as resources for future decision-making and as resources for eliciting knowledge about the community’s norms, practices and policies. Viewed as rich digital traces in these environments, we consider them to be beneficial for the community members, such as helping newcomers familiarize themselves on the commonly accepted justificatory reasoning styles. We call for more research attention to the discussion content from this rationale study perspective. -- Janna Layton (she, her) Administrative Assistant - Audiences & Technology Wikimedia Foundation <https://wikimediafoundation.org/> _______________________________________________ Analytics mailing list Analytics(a)lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/analytics

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