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Prikvačeni tweet
The latest issue of our monthly newsletter is out, covering 15 recent publications: • A look back at
@WikiWorkshop 2019 • Traffic impact of a Wikipedia awareness campaign • Wikipedia's war coverage "shows greater conciliatory potential" than museums https://meta.wikimedia.org/wiki/Research:Newsletter/2019/December …pic.twitter.com/P9veGReA2G
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Excited to release the Kensho Derived Wikimedia Dataset (KDWD) for NLP! English corpus annotated with page and knowledge graph links (2.3B tokens, 5.3M pages, 51M nodes, 120M edges).
@WikiResearch@Wikipedia@wikidata read more athttps://medium.com/@gabriel.altay/announcing-the-kensho-derived-wikimedia-dataset-5d1197d72bcf …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
"Analysis of the quotation corpus of the Russian Wiktionary" https://arxiv.org/abs/2002.00734 Top authors: 1. Chekhov 2. Tolstoy 3. Pushkin 4. Dostoyevsky 5. Turgenevpic.twitter.com/JvnO1fJpfi
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Today we're excited to be introducing the Kensho Derived Wikimedia Dataset (KDWD) for NLP, an English corpus annotated with page and knowledge graph links (2.3B tokens, 5.3M pages, 51M nodes, 120M edges).
@WikiResearch@Wikipedia@wikidatahttps://medium.com/@gabriel.altay/announcing-the-kensho-derived-wikimedia-dataset-5d1197d72bcf …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
"Quantifying Engagement with Citations on Wikipedia" English Wikipedia readers click more on citations when reading low quality articles, when looking at people's private lives or recent facts, and when references are open access. (Piccardi et al, 2020) https://arxiv.org/pdf/2001.08614.pdf …pic.twitter.com/Lj4YnT25jL
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English
@Wikipedia pageviews for articles related to the#coronarvirus.pic.twitter.com/zwYfxscUjE
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"OpenCitations, an infrastructure organization for open scholarship" dedicated to the publication of open citation data as Linked Open Data using Semantic Web technologies. (Peroni and Shotton, 2019) https://arxiv.org/pdf/1906.11964.pdf …pic.twitter.com/ZoqJhlOeQY
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In an upcoming
#TheWebConf2020 paper with@tizianopiccardi,@mad_astronaut,@giovanni1085, we for the first time investigate how Wikipedia readers engage with citations. Spoiler: they rarely do; and when they do, they do more so on low-quality articles. https://dlab.epfl.ch/people/west/pub/Piccardi-Redi-Colavizza-West_WWW-20.pdf …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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Dynamical systems' models for the prediction of multi-variable time series. Wikipedia's traffic example. (arXiv:1912.06939v2 [math.DS] UPDATED) https://ift.tt/38MTpSg
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"Uneven Coverage of Natural Disasters in Wikipedia: the Case of Flood" - ' we show how the coverage of floods in Wikipedia is skewed towards rich, English-speaking countries, in particular the US and Canada.' (Lorini, et al, 2020) https://arxiv.org/abs/2001.08810 pic.twitter.com/Uc7l5elN9S
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"Computational Fact Validation from Knowledge Graph using Structured and Unstructured Information" (Khandelwal and Kumar, 2020) https://dl.acm.org/doi/abs/10.1145/3371158.3371187 …pic.twitter.com/61GVXpaNTn
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"A perspective on Wikipedia: Approaches for educational use". An overview covering: • classroom assignments • "one-shot" editing sprints • Workshops • Wikipedia clubs • Wikipedians in Residence • Interns •
#1lib1ref https://doi.org/10.1016/j.acalib.2019.102090 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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What is the central bank of Wikipedia?. Demidov, Frahm, Shepelyansky: http://arxiv.org/abs/1902.07920 pic.twitter.com/TYyMsntqFW
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Political polarization produces better Wikipedia articles: "politically polarized teams engage in longer, more constructive, competitive, and substantively focused but linguistically diverse debates than political moderates." link: https://arxiv.org/abs/1712.06414 pic.twitter.com/99GQweYTSh
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#WikiRank upgraded to version 0.99! Now together with daily ranking of#Wikipedia articles of selected language version you can see also the number of the visits from each country. See example: https://wikirank.net/top/en/2020-01-24 …pic.twitter.com/1q6J0v3M7V
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An important new tool for Wikipedia readers and editors, based on the "Wikiwho" algorithm developed by
@ffloeck and other researchers (see e.g. this review in our monthly newsletter: https://meta.wikimedia.org/wiki/Research:Newsletter/2017/August … )https://twitter.com/mediawiki/status/1220764820951031810 …
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There is a surprisingly easy way to influence the future with very little work - write or edit a Wikipedia article! Don't believe me? Here is a thread of studies showing that small changes to Wikipedia articles impact where people go and what people do... 1/5pic.twitter.com/yC7fpMRBvP
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The top 0.1% of all Wikipedia pages earn 25% of the pageviews. The bottom 99% only get 42% of all the views. And the bottom 80% - only get 4%. I just published "Inequality: How to draw a Lorenz curve with SQL, BigQuery, and Data Studio" https://medium.com/@hoffa/inequality-how-to-draw-a-lorenz-curve-with-sql-bigquery-and-data-studio-c70824b0748d …pic.twitter.com/oUopWT0w8y
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Wikipedia now has more than 6 million articles in English https://tcrn.ch/2unSOGR by
@refsrcpic.twitter.com/eCjcbnEAbO
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Congratulations to English
@Wikipedia for hitting the six million article mark today! The landmark page — created by@Rosiestep of@WikiWomenInRed — is a biography of Marie "Toofie" Lauder, a well-traveled and philanthropic 19th century writer: https://en.wikipedia.org/wiki/Maria_Elise_Turner_Lauder …pic.twitter.com/N87CsDQvdH
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Of course these estimates provide at best a lower bound as they don’t include the value generated by Wikipedia through 3rd party platforms reusing its contents. How much more would users be willing to pay to retain access to all Wikipedia-powered products by Google or Apple?
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