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In our new issue: Bursty edits; how politics beat religion but then lost to sports; notability as a glass ceiling https://blog.wikimedia.org/2016/01/29/research-newsletter-january-2016/ …
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A matter of words: NLP for quality evaluation of Wikipedia medical articles http://arxiv.org/abs/1603.01987v1 …
#arxiv -
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Bookmark: Wikipedia data dumps future thoughts http://ift.tt/1SwO6dy
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Just finished an quick report on what I saw at
#CSCW2016 with a focus on wiki & open-collaboration research. https://meta.wikimedia.org/wiki/User:EpochFail/CSCW_2016_report … -
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Harry Potter pages—~7800 pages; a separate component of Wikipedia; in contrast to (say) Mathematics, which continues to branch out.
#lssp16 -
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Philosophy the *most* internally linked within Wikipedia—more self-obsessed than Harry Potter and Star Wars.
#lssp16 -
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Down the Wiki Rabbit Hole Lucas Mitchell, Ben Nuthak, Will Bernacchi
#lssp16 -
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What advantages do small wikis have over big wikis? (starting a research project)
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Dissertation: Automatic classification of Wikipedia edit categories, contributor roles, edit/talk page comment pairs http://tuprints.ulb.tu-darmstadt.de/5225/
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"Leveraging Semantic Annotations to Link Wikipedia and News Archives" http://pubman.mpdl.mpg.de/pubman/faces/viewItemOverviewPage.jsp?itemId=escidoc:2242961 …
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The making of a review paper on Wikipedia editor roles –
@gpaumier pic.twitter.com/TgtJ0PrJVv
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The map trying to record every battle ever fought http://bit.ly/1RlvBDQ pic.twitter.com/keMHWadN4i
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@Wikimedia analysts rejoice: Wikipedia Tools (https://twitter.com/tomayac/status/699317264684867586 …) now has a WIKIQUARRY function.@WikiResearch pic.twitter.com/W5ZXOnJpnu
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Qui donne
@Wikipedia ? Résultat (en fr) de l'enquête menée avec@gis_marsouin@TelecomBretagne et@Wikimedia_Fr ici: https://nicolasjullien.wp.mines-telecom.fr/2016/03/01/combien-vaut-lacces-a-wikipedia-pour-les-utilisateurs/ … -
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Quarry (https://quarry.wmflabs.org/ ) is mighty: "Run SQL queries against Wikipedia & other databases from your browser" (& from Wikipedia Tools)
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A post-
#cscw2016 gathering of@Wikimedia researchers at WMF HQ pic.twitter.com/zaLdhQeiLV
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Who's the most famous cat? Answer this with BigQuery and
@wikidata+@WikiResearch's data!#KnowledgeInSQL pic.twitter.com/mKH4qYTbr8
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My
#cscw2016 research with Ofer Arazy & Shakked Lev on sequence analysis: Paper: http://www.brianckeegan.com/papers/CSCW_2016.pdf … Slides: http://www.brianckeegan.com/papers/CSCW2016_Presentation.pdf … -
Essay collection about knowledge production on Wikipedia http://www.ntik.dk/2016/Nr1/Nr1_2016.htm …
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The ORES API (machine learning for
@Wikipedia and@Wikidata) just got published on@programmableweb! http://www.programmableweb.com/api/objective-revision-evaluation-service?utm_medium=email&utm_source=transactional&utm_campaign=pww_mandrill … -
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Oscars 2016: Movies that got the most pageviews on Wikipedia https://medium.com/@hoffa/oscars-2016-movies-that-got-the-most-attention-on-wikipedia-151cd56f4fc0 … (playing with BigQuery and
@wikidata, thx@vrandezo!)
WikiResearch
arXiv ML/Stats
Ed Summers
Aaron Halfaker, PhD
Simon DeDeo
Maximilian Klein
BBC News
Thomas Steiner
Nicolas Jullien
Dario Taraborelli
Felipe Hoffa
Brian Keegan
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