"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)
https://t.co/BkvEDaY2b1
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.
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:https://t.co/XJ5RqTPsK3
#Wikipedia#wikidata
"Consensus-Based Encyclopedic Virtue: #Wikipedia and the Production of Authority in Encyclopedias".
#PhD thesis by Ryan McGrady at NC State Communication, Rhetoric, & Digital Media.
https://t.co/UkVdQ9Tzqr
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? https://t.co/n3WRPjCEGV
"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)
https://t.co/FI6RnNJyA3
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
"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)
https://t.co/fUFEN6wBqI
@sherzodhakimov
"Is #Wikipedia succeeding in reducing gender bias?
Assessing changes in gender bias in Wikipedia using word embeddings"
(Schmahl et al, 2020)
https://t.co/DPSwxZA9lk
#GenderBias
Register now for #Wikimedia's largest event this year! It will happen this weekend (Nov 21-22) and Dec 6-7!
https://t.co/AgnfRyzkXP
Telegram chat link:
https://t.co/bakpmagAXk
More info https://t.co/bzoGCSve0H
Image taken by Jason Krüger for Wikimedia Deutschland
#Wikipedia
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. https://t.co/phFAiwGdOA
"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)
https://t.co/lR80RihTH0
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
"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 ⬇️ https://t.co/Fwa7cAe09a
The #WikiCite virtual conference 2020 begins on Monday.
Full details of each session at: https://t.co/xk1smZ2gWo
YouTube playlist: https://t.co/YGcjTKBAet
Summary of the program:
"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
https://t.co/yGzOzGg4WU
"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 ⬇️ https://t.co/Tcx3QgHd5r
"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)
https://t.co/FyOJIuTELD