Wikimedia Learning (@WikiEval) header
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The Learning & Evaluation Team @Wikimedia helps monitor the impact of movement programs, and guides other teams in executing effective grants.

San Francisco
Joined May 2014
Photo by Wikimedia Learning (@WikiEval)Photo by Wikimedia Learning (@WikiEval)Photo by Wikimedia Learning (@WikiEval)Photo by Wikimedia Learning (@WikiEval)Photo by Wikimedia Learning (@WikiEval)Photo by Wikimedia Learning (@WikiEval)Photo by Wikimedia Learning (@WikiEval)Photo by Wikimedia Learning (@WikiEval)
Wikimedia Learning retweeted
"Testing the validity of Wikipedia categories for subject matter labeling of open-domain corpus data" results show that taxonomies derived from #Wikipedia categories are not valid instruments for manual labeling of text corpora (Aghaebrahimian et al, 2020) journals.sagepub.com/doi/10.…
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Wikimedia Learning retweeted
The @Wikipedia community has remain committed to the free knowledge movement, thru pandemics, world challenges, and even pure exhaustion. The work goes on. Thank you to the @Wikimedia staff and the volunteer hero’s! Thank you to all who support. We are, because of all of you.
Right now, we are relying on the readers who can afford to help. For almost two decades, the world has looked to Wikipedia for reliable information, and it has consistently delivered. Can we count on you to be there for Wikipedia today? medium.com/freely-sharing-th…
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Wikimedia Learning retweeted
The role of Wikipedia in the current state of the art in AI research is hard to overstate.
This Post is from an account that no longer exists. Learn more
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Wikimedia Learning retweeted
Registration is open for the 2nd & final session of the largest #Wikimedia event of 2020! It will happen Dec. 5/6! Registration deadline is Dec.4 at 9:00 UTC Note:Those who registered in November session must register again Link:docs.google.com/forms/d/e/1F… #Wikipedia #wikidata
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Wikimedia Learning retweeted
"Consensus-Based Encyclopedic Virtue: #Wikipedia and the Production of Authority in Encyclopedias". #PhD thesis by Ryan McGrady at NC State Communication, Rhetoric, & Digital Media. repository.lib.ncsu.edu/bits…
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The world relies on Wikipedia. Wikipedia relies on YOU reading this, yes YOU 🙂
Right now, we are relying on the readers who can afford to help. For almost two decades, the world has looked to Wikipedia for reliable information, and it has consistently delivered. Can we count on you to be there for Wikipedia today? medium.com/freely-sharing-th…
Wikimedia Learning retweeted
"Zero-shot Learning for Relation Extraction" recognize new relations based on prototypical networks that are modified to utilize auxiliary information from #Wikidata, WordNet and Merriam Webster. (Gong and Eldardiry, 2020) arxiv.org/abs/2011.07126
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Wikimedia Learning retweeted
So many initiatives around the world, 10 recommendations, and many thanks to the designer's team and affiliates which participated in the discussion on the prioritization @wikimedia @wikipedia
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Wikimedia Learning retweeted
"Ontology-driven Event Type Classification in Images" exploit structured information from #Wikidata to learn relevant event relations using deep neural networks. (Müller-Budack et al, 2020) arxiv.org/pdf/2011.04714.pdf @sherzodhakimov
Wikimedia Learning retweeted
"Is #Wikipedia succeeding in reducing gender bias? Assessing changes in gender bias in Wikipedia using word embeddings" (Schmahl et al, 2020) aclweb.org/anthology/2020.nl… #GenderBias
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RSVP NOW 👇🏽
Register now for #Wikimedia's largest event this year! It will happen this weekend (Nov 21-22) and Dec 6-7! docs.google.com/forms/d/e/1F… Telegram chat link: t.me/joinchat/NV8jtxZkQB7aN8… More info meta.wikimedia.org/wiki/Stra… Image taken by Jason Krüger for Wikimedia Deutschland #Wikipedia
Wikimedia Learning retweeted
Wikipedia editors put an enormous amount of care and dedication into getting information correct. One contributor invested 90 hours and read through 3,000 pages of scientific literature to rewrite just one section of Wikipedia's climate change article. mashable.com/feature/climate…
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Wikimedia Learning retweeted
"Spontaneous versus interaction-driven burstiness in human dynamics: The case of Wikipedia edit history" Quantifying and analyzing the degree of initiative of editors in #Wikipedia articles. (Choi et al, 2020) arxiv.org/pdf/2011.01562.pdf
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Wikimedia Learning retweeted
The first #wikicite eScholarship team has just completed a major development round on the #CiteQ template: making it easier to use @Wikidata items as @Wikipedia references
Replying to @pigsonthewing
We've just published another big batch of changes - including lots of language-handing (for non-English works on en.Wikipedia; but that works for non-Portuguese works on pt.Wikipedia, and so on). Also hadnling for papers with many authors, and much more besides. #CiteQ
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Wikimedia Learning retweeted
"Wikipedia settles arguments and ignites debate. It sends you down rabbit holes so fathomless that you emerge gasping, astonished at what other people know and consider important." You've got that right, @EsquireUK. Read more ⬇️ esquire.com/uk/culture/a3441…
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Wikimedia Learning retweeted
The #WikiCite virtual conference 2020 begins on Monday. Full details of each session at: w.wiki/gwo YouTube playlist: youtube.com/playlist?list=PL… Summary of the program:
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Wikimedia Learning retweeted
"Wikipedia Edit-a-thons as Sites of Public Pedagogy" personal values inspire edit-a-thons facilitators towards broader goals, such as fostering information literacy and establishing community relationships outside Wikipedia March and @sayamindu, #cscw2020 dl.acm.org/doi/10.1145/34151…
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Wikimedia Learning retweeted
"Here, I was needed. Here, I could do something." Librarian Mary Mann shares how she found renewed purpose during the pandemic by contributing to @Wikipedia. Get ready to feel inspired ⬇️ nytimes.com/2020/10/23/opini…
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Wikimedia Learning retweeted
"Multilingual Contextual Affective Analysis of LGBT People Portrayals in Wikipedia", showing differences among English, Russian, and Spanish Wikipedias on how LGBT people are portrayed along dimensions of power, agency, and sentiment. (Park et al, 2020) arxiv.org/pdf/2010.10820.pdf