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Noever, D.; Ciolino, M.: ¬The Turing deception (2022)
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- Source
- https%3A%2F%2Farxiv.org%2Fabs%2F2212.06721&usg=AOvVaw3i_9pZm9y_dQWoHi6uv0EN
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Eadon, Y.M.: ¬(Not) part of the system : resolving epistemic disconnect through archival reference (2020)
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- Part of a special issue: The politics of knowledge organization, Part 2; guest editors: Robert D. Montoya and Gregory H. Leazer. DOI:10.5771/0943-7444-2020-6-441.
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- e
-
Wagner, E.: Über Impfstoffe zur digitalen Identität? (2020)
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- Date
- 4. 5.2020 17:22:40
-
Fugmann, R.: What is information? : an information veteran looks back (2022)
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- Date
- 18. 8.2022 19:22:57
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-
Soos, C.; Leazer, H.H.: Presentations of authorship in knowledge organization (2020)
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- Part of a special issue: The politics of knowledge organization, Part 2; guest editors: Robert D. Montoya and Gregory H. Leazer. DOI:10.5771/0943-7444-2020-6-486.
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- e
-
Hjoerland, B.: Political versus apolitical epistemologies in knowledge organization (2020)
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- Part of a special issue: The politics of knowledge organization, Part 2; guest editors: Robert D. Montoya and Gregory H. Leazer. DOI:10.5771/0943-7444-2020-6-461.
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- e
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Pech, G.; Delgado, C.; Sorella, S.P.: Classifying papers into subfields using Abstracts, Titles, Keywords and KeyWords Plus through pattern detection and optimization procedures : an application in Physics (2022)
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- Abstract
- Classifying papers according to the fields of knowledge is critical to clearly understand the dynamics of scientific (sub)fields, their leading questions, and trends. Most studies rely on journal categories defined by popular databases such as WoS or Scopus, but some experts find that those categories may not correctly map the existing subfields nor identify the subfield of a specific article. This study addresses the classification problem using data from each paper (Abstract, Title, Keywords, and the KeyWords Plus) and the help of experts to identify the existing subfields and journals exclusive of each subfield. These "exclusive journals" are critical to obtain, through a pattern detection procedure that uses machine learning techniques (from software NVivo), a list of the frequent terms that are specific to each subfield. With that list of terms and with the help of optimization procedures, we can identify to which subfield each paper most likely belongs. This study can contribute to support scientific policy-makers, funding, and research institutions-via more accurate academic performance evaluations-, to support editors in their tasks to redefine the scopes of journals, and to support popular databases in their processes of refining categories.
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-
Navarrete, T.; Villaespesa, E.: Image-based information : paintings in Wikipedia (2021)
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- Abstract
- Purpose This study aimed at understanding the use of paintings outside of an art-related context, in the English version of Wikipedia. Design/methodology/approach For this investigation, the authors identified 8,104 paintings used in 10,008 articles of the English Wikipedia edition. The authors manually coded the topic of the article in question, documented the number of monthly average views and identified the originating museum. They analysed the use of images based on frequency of use, frequency of view, associated topics and location. Early in the analysis three distinct perspectives emerged: the readers of the online encyclopaedia, the editors of the articles and the museum organisations providing the painting images (directly or indirectly). Findings Wikipedia is a widely used online information resource where images of paintings serve as visual reference to illustrate articles, notably also beyond an art-related topic and where no alternative image is available - as in the case of historic portraits. Editors used paintings as illustration of the work itself or art-related movement, but also as illustration of past events, as alternative to photographs, as well as to represent a concept or technique. Images have been used to illustrate up to 76 articles, evidencing the polysemic nature of paintings. The authors conclude that images of paintings are highly valuable information sources, also beyond an art-related context. They also find that Wikipedia is an important dissemination channel for museum collections. While art-related articles contain greater number of paintings, these receive less views than non-art-related articles containing fewer paintings. Readers of all topics, predominantly history, science and geographic articles, viewed art pieces outside of an art context. Painting images in Wikipedia receive a much larger online audience than the physical painting does when compared to the number of museum onsite visitors. The authors' results confirm the presence of a strong long-tail pattern in the frequency of image use (only 3% of painting images are used in a Wikipedia article), image view and museums represented, characteristic of network dynamics of the Internet.
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- e
-
Morris, V.: Automated language identification of bibliographic resources (2020)
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- Date
- 2. 3.2020 19:04:22
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- e
-
Tay, A.: ¬The next generation discovery citation indexes : a review of the landscape in 2020 (2020)
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- Date
- 17.11.2020 12:22:59
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- e
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Bargmann, S.; Blumesberger, S.; Gruber, A.; Luef, E.; Steltzer, R.: Sacherschließung geschlechtergerecht?! : Rückblick auf den Online-Workshop am 11. Mai 2022 und Aufruf zu gemeinsamen Aktivitäten (2022)
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- Date
- 15. 2.2023 14:30:22
-
Manley, S.: Letters to the editor and the race for publication metrics (2022)
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- Date
- 6. 4.2022 19:22:26
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Wu, P.F.: Veni, vidi, vici? : On the rise of scrape-and-report scholarship in online reviews research (2023)
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- Date
- 22. 1.2023 18:33:53
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Candela, G.: ¬An automatic data quality approach to assess semantic data from cultural heritage institutions (2023)
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- Date
- 22. 6.2023 18:23:31
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Zheng, X.; Chen, J.; Yan, E.; Ni, C.: Gender and country biases in Wikipedia citations to scholarly publications (2023)
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- Date
- 22. 1.2023 18:53:32
- Language
- e
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Cheti, A.; Viti, E.: Functionality and merits of a faceted thesaurus : the case of the Nuovo soggettario (2023)
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- Date
- 26.11.2023 18:59:22
- Language
- e
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Dietz, K.: en.wikipedia.org > 6 Mio. Artikel (2020)
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- Content
- "Die Englischsprachige Wikipedia verfügt jetzt über mehr als 6 Millionen Artikel. An zweiter Stelle kommt die deutschsprachige Wikipedia mit 2.3 Millionen Artikeln, an dritter Stelle steht die französischsprachige Wikipedia mit 2.1 Millionen Artikeln (via Researchbuzz: Firehose <https://rbfirehose.com/2020/01/24/techcrunch-wikipedia-now-has-more-than-6-million-articles-in-english/> und Techcrunch <https://techcrunch.com/2020/01/23/wikipedia-english-six-million-articles/?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+Techcrunch+%28TechCrunch%29&guccounter=1&guce_referrer=aHR0cHM6Ly9yYmZpcmVob3NlLmNvbS8yMDIwLzAxLzI0L3RlY2hjcnVuY2gtd2lraXBlZGlhLW5vdy1oYXMtbW9yZS10aGFuLTYtbWlsbGlvbi1hcnRpY2xlcy1pbi1lbmdsaXNoLw&guce_referrer_sig=AQAAAK0zHfjdDZ_spFZBF_z-zDjtL5iWvuKDumFTzm4HvQzkUfE2pLXQzGS6FGB_y-VISdMEsUSvkNsg2U_NWQ4lwWSvOo3jvXo1I3GtgHpP8exukVxYAnn5mJspqX50VHIWFADHhs5AerkRn3hMRtf_R3F1qmEbo8EROZXp328HMC-o>). 250120 via digithek ch = #fineBlog s.a.: Angesichts der Veröffentlichung des 6-millionsten Artikels vergangene Woche in der englischsprachigen Wikipedia hat die Community-Zeitungsseite "Wikipedia Signpost" ein Moratorium bei der Veröffentlichung von Unternehmensartikeln gefordert. Das sei kein Vorwurf gegen die Wikimedia Foundation, aber die derzeitigen Maßnahmen, um die Enzyklopädie gegen missbräuchliches undeklariertes Paid Editing zu schützen, funktionierten ganz klar nicht. *"Da die ehrenamtlichen Autoren derzeit von Werbung in Gestalt von Wikipedia-Artikeln überwältigt werden, und da die WMF nicht in der Lage zu sein scheint, dem irgendetwas entgegenzusetzen, wäre der einzige gangbare Weg für die Autoren, fürs erste die Neuanlage von Artikeln über Unternehmen zu untersagen"*, schreibt der Benutzer Smallbones in seinem Editorial <https://en.wikipedia.org/wiki/Wikipedia:Wikipedia_Signpost/2020-01-27/From_the_editor> zur heutigen Ausgabe."
-
Gabler, S.: Vergabe von DDC-Sachgruppen mittels eines Schlagwort-Thesaurus (2021)
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- Content
- Master thesis Master of Science (Library and Information Studies) (MSc), Universität Wien. Advisor: Christoph Steiner. Vgl.: https://www.researchgate.net/publication/371680244_Vergabe_von_DDC-Sachgruppen_mittels_eines_Schlagwort-Thesaurus. DOI: 10.25365/thesis.70030. Vgl. dazu die Präsentation unter: https://www.google.com/url?sa=i&rct=j&q=&esrc=s&source=web&cd=&ved=0CAIQw7AJahcKEwjwoZzzytz_AhUAAAAAHQAAAAAQAg&url=https%3A%2F%2Fwiki.dnb.de%2Fdownload%2Fattachments%2F252121510%2FDA3%2520Workshop-Gabler.pdf%3Fversion%3D1%26modificationDate%3D1671093170000%26api%3Dv2&psig=AOvVaw0szwENK1or3HevgvIDOfjx&ust=1687719410889597&opi=89978449.
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Geras, A.; Siudem, G.; Gagolewski, M.: Should we introduce a dislike button for academic articles? (2020)
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- Date
- 6. 1.2020 18:10:22
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Bullard, J.; Dierking, A.; Grundner, A.: Centring LGBT2QIA+ subjects in knowledge organization systems (2020)
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- Date
- 6.10.2020 21:22:33
- Language
- e
