Search (260 results, page 1 of 13)

  • × year_i:[2020 TO 2030}
  1. Koch, C.: Was ist Bewusstsein? (2020) 0.06
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    Date
    17. 1.2020 22:15:11
  2. Zheng, X.; Chen, J.; Yan, E.; Ni, C.: Gender and country biases in Wikipedia citations to scholarly publications (2023) 0.04
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    Date
    22. 1.2023 18:53:32
  3. Ma, L.: Information, platformized (2023) 0.04
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    Abstract
    Scholarly publications are often regarded as "information" by default. They are collected, organized, preserved, and made accessible as knowledge records. However, the instances of article retraction, misconduct and malpractices of researchers and the replication crisis have raised concerns about the informativeness and evidential qualities of information. Among many factors, knowledge production has moved away from "normal science" under the systemic influences of platformization involving the datafication and commodification of scholarly articles, research profiles and research activities. This article aims to understand the platformization of information by examining how research practices and knowledge production are steered by market and platform mechanisms in four ways: (a) ownership of information; (b) metrics for sale; (c) relevance by metrics, and (d) market-based competition. In conclusion, the article argues that information is platformized when platforms hold the dominating power in determining what kinds of information can be disseminated and rewarded and when informativeness is decoupled from the normative agreement or consensus co-constructed and co-determined in an open and public discourse.
    Date
    22. 1.2023 19:01:47
  4. Hottenrott, H.; Rose, M.E.; Lawson, C.: ¬The rise of multiple institutional affiliations in academia (2021) 0.03
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    Abstract
    This study provides the first systematic, international, large-scale evidence on the extent and nature of multiple institutional affiliations on journal publications. Studying more than 15 million authors and 22 million articles from 40 countries we document that: In 2019, almost one in three articles was (co-)authored by authors with multiple affiliations and the share of authors with multiple affiliations increased from around 10% to 16% since 1996. The growth of multiple affiliations is prevalent in all fields and it is stronger in high impact journals. About 60% of multiple affiliations are between institutions from within the academic sector. International co-affiliations, which account for about a quarter of multiple affiliations, most often involve institutions from the United States, China, Germany and the United Kingdom, suggesting a core-periphery network. Network analysis also reveals a number communities of countries that are more likely to share affiliations. We discuss potential causes and show that the timing of the rise in multiple affiliations can be linked to the introduction of more competitive funding structures such as "excellence initiatives" in a number of countries. We discuss implications for science and science policy.
  5. Cox, A.; Fulton, C.: Geographies of information behaviour : a conceptual exploration (2022) 0.03
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    Date
    5. 6.2022 17:20:22
  6. Lee, D.J.; Stvilia, B.; Ha, S.; Hahn, D.: ¬The structure and priorities of researchers' scholarly profile maintenance activities : a case of institutional research information management system (2023) 0.03
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    Abstract
    Research information management systems (RIMS) have become critical components of information technology infrastructure on university campuses. They are used not just for sharing and promoting faculty research, but also for conducting faculty evaluation and development, facilitating research collaborations, identifying mentors for student projects, and expert consultants for local businesses. This study is one of the first empirical investigations of the structure of researchers' scholarly profile maintenance activities in a nonmandatory institutional RIMS. By analyzing the RIMS's log data, we identified 11 tasks researchers performed when updating their profiles. These tasks were further grouped into three activities: (a) adding publication, (b) enhancing researcher identity, and (c) improving research discoverability. In addition, we found that junior researchers and female researchers were more engaged in maintaining their RIMS profiles than senior researchers and male researchers. The results provide insights for designing profile maintenance action templates for institutional RIMS that are tailored to researchers' characteristics and help enhance researchers' engagement in the curation of their research information. This also suggests that female and junior researchers can serve as early adopters of institutional RIMS.
    Date
    22. 1.2023 18:43:02
  7. Yu, C.; Xue, H.; An, L.; Li, G.: ¬A lightweight semantic-enhanced interactive network for efficient short-text matching (2023) 0.03
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    Date
    22. 1.2023 19:05:27
  8. Cerda-Cosme, R.; Méndez, E.: Analysis of shared research data in Spanish scientific papers about COVID-19 : a first approach (2023) 0.03
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    Abstract
    During the coronavirus pandemic, changes in the way science is done and shared occurred, which motivates meta-research to help understand science communication in crises and improve its effectiveness. The objective is to study how many Spanish scientific papers on COVID-19 published during 2020 share their research data. Qualitative and descriptive study applying nine attributes: (a) availability, (b) accessibility, (c) format, (d) licensing, (e) linkage, (f) funding, (g) editorial policy, (h) content, and (i) statistics. We analyzed 1,340 papers, 1,173 (87.5%) did not have research data. A total of 12.5% share their research data of which 2.1% share their data in repositories, 5% share their data through a simple request, 0.2% do not have permission to share their data, and 5.2% share their data as supplementary material. There is a small percentage that shares their research data; however, it demonstrates the researchers' poor knowledge on how to properly share their research data and their lack of knowledge on what is research data.
    Date
    21. 3.2023 19:22:02
  9. Noever, D.; Ciolino, M.: ¬The Turing deception (2022) 0.03
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    Source
    https%3A%2F%2Farxiv.org%2Fabs%2F2212.06721&usg=AOvVaw3i_9pZm9y_dQWoHi6uv0EN
  10. Hocker, J.; Schindler, C.; Rittberger, M.: Participatory design for ontologies : a case study of an open science ontology for qualitative coding schemas (2020) 0.02
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    Date
    20. 1.2015 18:30:22
  11. Dietz, K.: en.wikipedia.org > 6 Mio. Artikel (2020) 0.02
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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."
  12. Gabler, S.: Vergabe von DDC-Sachgruppen mittels eines Schlagwort-Thesaurus (2021) 0.02
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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.
  13. ¬Der Student aus dem Computer (2023) 0.02
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    Date
    27. 1.2023 16:22:55
  14. Jaeger, L.: Wissenschaftler versus Wissenschaft (2020) 0.02
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    Date
    2. 3.2020 14:08:22
  15. Ibrahim, G.M.; Taylor, M.: Krebszellen manipulieren Neurone : Gliome (2023) 0.02
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    Source
    Spektrum der Wissenschaft. 2023, H.10, S.22-24
  16. Hobohm, H.-C.: Zensur in der Digitalität - eine Überwindung der Moderne? : Die Rolle der Bibliotheken (2020) 0.02
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  17. Metz, C.: ¬The new chatbots could change the world : can you trust them? (2022) 0.02
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  18. Grundlagen der Informationswissenschaft (2023) 0.02
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    Content
    Hans-Christian Jetter: B 13 Informationsvisualisierung und Visual Analytics - 295 / Melanie Siegel: B 14 Maschinelle Übersetzung - 307 / Ulrich Herb: B 15 Verfahren der wissenschaftlichen Qualitäts-/ Relevanzsicherung / Evaluierung - 317 / Thomas Mandl: B 16 Text Mining und Data Mining - 327 / Heike Neuroth: B 17 Forschungsdaten - 339 / Isabella Peters: B 18 Folksonomies & Social Tagging - 351 / Christa Womser-Hacker: C 1 Informationswissenschaftliche Perspektiven des Information Retrieval - 365 / Norbert Fuhr: C 2 Modelle im Information Retrieval - 379 / Dirk Lewandowski: C 3 Suchmaschinen - 391 / David Elsweiler & Udo Kruschwitz: C 4 Interaktives Information Retrieval - 403 / Thomas Mandl & Sebastian Diem: C 5 Bild- und Video-Retrieval - 413 / Maximilian Eibl, Josef Haupt, Stefan Kahl, Stefan Taubert & Thomas Wilhelm-Stein: C 6 Audio- und Musik-Retrieval - 423 / Christa Womser-Hacker: C 7 Cross-Language Information Retrieval (CLIR) - 433 / Vivien Petras & Christa Womser-Hacker: C 8 Evaluation im Information Retrieval - 443 / Philipp Schaer: C 9 Sprachmodelle und neuronale Netze im Information Retrieval - 455 / Stefanie Elbeshausen: C 10 Modellierung von Benutzer*innen, Kontextualisierung, Personalisierung - 467 / Ragna Seidler-de Alwis: C 11 Informationsrecherche - 477 / Ulrich Reimer: C 12 Empfehlungssysteme - 485 / Elke Greifeneder & Kirsten Schlebbe: D 1 Information Behaviour - 499 / Nicola Döring: D 2 Computervermittelte Kommunikation - 511 / Hans-Christian Jetter: D 3 Mensch-Computer-Interaktion, Usability und User Experience - 525 / Gabriele Irle: D 4 Emotionen im Information Seeking - 535 /
    Editor
    Womser-Hacker, C.
  19. Petras, V.; Womser-Hacker, C.: Evaluation im Information Retrieval (2023) 0.02
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    Abstract
    Das Ziel einer Evaluation ist die Überprüfung, ob bzw. in welchem Ausmaß ein Informationssystem die an das System gestellten Anforderungen erfüllt. Informationssysteme können aus verschiedenen Perspektiven evaluiert werden. Für eine ganzheitliche Evaluation (als Synonym wird auch Evaluierung benutzt), die unterschiedliche Qualitätsaspekte betrachtet (z. B. wie gut ein System relevante Dokumente rankt, wie schnell ein System die Suche durchführt, wie die Ergebnispräsentation gestaltet ist oder wie Suchende durch das System geführt werden) und die Erfüllung mehrerer Anforderungen überprüft, empfiehlt es sich, sowohl eine perspektivische als auch methodische Triangulation (d. h. der Einsatz von mehreren Ansätzen zur Qualitätsüberprüfung) vorzunehmen. Im Information Retrieval (IR) konzentriert sich die Evaluation auf die Qualitätseinschätzung der Suchfunktion eines Information-Retrieval-Systems (IRS), wobei oft zwischen systemzentrierter und nutzerzentrierter Evaluation unterschieden wird. Dieses Kapitel setzt den Fokus auf die systemzentrierte Evaluation, während andere Kapitel dieses Handbuchs andere Evaluationsansätze diskutieren (s. Kapitel C 4 Interaktives Information Retrieval, C 7 Cross-Language Information Retrieval und D 1 Information Behavior).
  20. Wagner, E.: Über Impfstoffe zur digitalen Identität? (2020) 0.02
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    Date
    4. 5.2020 17:22:40

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