Search (24 results, page 1 of 2)

  • × year_i:[2020 TO 2030}
  • × type_ss:"el"
  1. 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."
  2. Pampel, H.: Empfehlungen für transformative Zeitschriftenverträge mit Publikationsdienstleistern veröffentlicht (2022) 0.02 
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    Abstract
    Mailtext: "Im Rahmen der Schwerpunktinitiative "Digitale Information" der Allianz der Wissenschaftsorganisationen wurden jetzt "Empfehlungen für transformative Zeitschriftenverträge mit Publikationsdienstleistern" veröffentlicht. Die formulierten Kriterien dienen als gemeinsamer und handlungsleitender Rahmen der Akteur:innen aus allen Wissenschaftsorganisationen, d.h. Hochschulen ebenso wie außeruniversitäre Forschungseinrichtungen, für Verhandlungen mit Publikationsdienstleistern. Dabei bildet die Forderung nach größtmöglicher Kostentransparenz und Kosteneffizienz im Gesamtsystem den Kern des Handelns der Wissenschaftsorganisationen im Kontext ihrer Open-Access-Strategie für die Jahre 2021-2025. Diese Kriterien gliedern sich in die Aspekte Transformation von Zeitschriften, Preisgestaltung, Transparenz, Workflow, Preprints, Qualitätssicherung, Metadaten und Schnittstellen, Statistiken, Tracking und Waiver. Deutsche Version: https://doi.org/10.48440/allianzoa.045 Englische Version: https://doi.org/10.48440/allianzoa.046 Siehe auch: Empfehlungen für transformative Zeitschriftenverträge mit Publikationsdienstleistern veröffentlicht https://www.allianzinitiative.de/2022/11/24/empfehlungen-fuer-transformative-zeitschriftenvertraege-mit-publikationsdienstleistern-veroeffentlicht/ Recommendations for Transformative Journal Agreements with Providers of Publishing Services published https://www.allianzinitiative.de/2022/11/24/recommendations-for-transformative-journal-agreements-with-providers-of-publishing-services-published/?lang=en"
  3. Lund, B.D.: ¬A chat with ChatGPT : how will AI impact scholarly publishing? (2022) 0.02 
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  4. Jaeger, L.: Wissenschaftler versus Wissenschaft (2020) 0.01 
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    Date
    2. 3.2020 14:08:22
  5. Franke, F.: Informationskompetenz gegen Fake Science : wie steht es, was sagen die Beteiligten und welche Taktik ist nun gefordert? (2023) 0.01 
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    Abstract
    Der Beitrag analysiert die Aktivitäten deutscher Bibliotheken drei Jahre nach der sehr kritischen Berichterstattung in den Medien über Predatory Publishing ("Wissenschaftsskandal") dahingehend, wie sie über das Thema Fake Science informieren und Wissenschaftler*innen unterstützen. Dies geschieht vorwiegend in spezifischen Veranstaltungen, die vor allem die Zielgruppen erreichen, die zumindest rudimentär schon sensibilisiert sind. Vorgestellt werden die Ergebnisse einer Befragung unter Teaching Librarians dazu, wie sie ihre Kompetenzen zur Erkennung von Fake Science einschätzen und wie sie ihre Rolle und die Aufgaben der Bibliotheken bei der Bekämpfung von Fake Science sehen. Der Beitrag diskutiert Best-Practice-Beispiele für die Förderung einer kritischen Informationskompetenz in Bibliotheken auf Basis des Frameworks Informationskompetenz, die weit über die Vermittlung von Recherchefähigkeiten hinausgeht.
  6. Wagner, E.: Über Impfstoffe zur digitalen Identität? (2020) 0.01 
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    Date
    4. 5.2020 17:22:40
  7. Engel, B.: Corona-Gesundheitszertifikat als Exitstrategie (2020) 0.01 
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    Date
    4. 5.2020 17:22:28
  8. Arndt, O.: Totale Telematik (2020) 0.01 
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    Date
    22. 6.2020 19:11:24
  9. Arndt, O.: Erosion der bürgerlichen Freiheiten (2020) 0.01 
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    Date
    22. 6.2020 19:16:24
  10. Baecker, D.: ¬Der Frosch, die Fliege und der Mensch : zum Tod von Humberto Maturana (2021) 0.01 
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    Date
    7. 5.2021 22:10:24
  11. Eyert, F.: Mathematische Wissenschaftskommunikation in der digitalen Gesellschaft (2023) 0.01 
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    Source
    Mitteilungen der Deutschen Mathematiker-Vereinigung. 2023, H.1, S.22-25
  12. Hauff-Hartig, S.: Automatische Transkription von Videos : Fernsehen 3.0: Automatisierte Sentimentanalyse und Zusammenstellung von Kurzvideos mit hohem Aufregungslevel KI-generierte Metadaten: Von der Technologiebeobachtung bis zum produktiven Einsatz (2021) 0.01 
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    Date
    22. 5.2021 12:43:05
  13. Hauff-Hartig, S.: Wissensrepräsentation durch RDF: Drei angewandte Forschungsbeispiele : Bitte recht vielfältig: Wie Wissensgraphen, Disco und FaBiO Struktur in Mangas und die Humanities bringen (2021) 0.01 
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    Date
    22. 5.2021 12:43:05
  14. Schrenk, P.: Gesamtnote 1 für Signal - Telegram-Defizite bei Sicherheit und Privatsphäre : Signal und Telegram im Test (2022) 0.01 
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    Date
    22. 1.2022 14:01:14
  15. Bager, J.: ¬Die Text-KI ChatGPT schreibt Fachtexte, Prosa, Gedichte und Programmcode (2023) 0.01 
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    Date
    29.12.2022 18:22:55
  16. Rieger, F.: Lügende Computer (2023) 0.01 
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    Date
    16. 3.2023 19:22:55
  17. Hobert, A.; Jahn, N.; Mayr, P.; Schmidt, B.; Taubert, N.: Open access uptake in Germany 2010-2018 : adoption in a diverse research landscape (2021) 0.01 
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    Content
    This study investigates the development of open access (OA) to journal articles from authors affiliated with German universities and non-university research institutions in the period 2010-2018. Beyond determining the overall share of openly available articles, a systematic classification of distinct categories of OA publishing allowed us to identify different patterns of adoption of OA. Taking into account the particularities of the German research landscape, variations in terms of productivity, OA uptake and approaches to OA are examined at the meso-level and possible explanations are discussed. The development of the OA uptake is analysed for the different research sectors in Germany (universities, non-university research institutes of the Helmholtz Association, Fraunhofer Society, Max Planck Society, Leibniz Association, and government research agencies). Combining several data sources (incl. Web of Science, Unpaywall, an authority file of standardised German affiliation information, the ISSN-Gold-OA 3.0 list, and OpenDOAR), the study confirms the growth of the OA share mirroring the international trend reported in related studies. We found that 45% of all considered articles during the observed period were openly available at the time of analysis. Our findings show that subject-specific repositories are the most prevalent type of OA. However, the percentages for publication in fully OA journals and OA via institutional repositories show similarly steep increases. Enabling data-driven decision-making regarding the implementation of OA in Germany at the institutional level, the results of this study furthermore can serve as a baseline to assess the impact recent transformative agreements with major publishers will likely have on scholarly communication.
  18. Aydin, Ö.; Karaarslan, E.: OpenAI ChatGPT generated literature review: : digital twin in healthcare (2022) 0.01 
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    Abstract
    Literature review articles are essential to summarize the related work in the selected field. However, covering all related studies takes too much time and effort. This study questions how Artificial Intelligence can be used in this process. We used ChatGPT to create a literature review article to show the stage of the OpenAI ChatGPT artificial intelligence application. As the subject, the applications of Digital Twin in the health field were chosen. Abstracts of the last three years (2020, 2021 and 2022) papers were obtained from the keyword "Digital twin in healthcare" search results on Google Scholar and paraphrased by ChatGPT. Later on, we asked ChatGPT questions. The results are promising; however, the paraphrased parts had significant matches when checked with the Ithenticate tool. This article is the first attempt to show the compilation and expression of knowledge will be accelerated with the help of artificial intelligence. We are still at the beginning of such advances. The future academic publishing process will require less human effort, which in turn will allow academics to focus on their studies. In future studies, we will monitor citations to this study to evaluate the academic validity of the content produced by the ChatGPT. 1. Introduction OpenAI ChatGPT (ChatGPT, 2022) is a chatbot based on the OpenAI GPT-3 language model. It is designed to generate human-like text responses to user input in a conversational context. OpenAI ChatGPT is trained on a large dataset of human conversations and can be used to create responses to a wide range of topics and prompts. The chatbot can be used for customer service, content creation, and language translation tasks, creating replies in multiple languages. OpenAI ChatGPT is available through the OpenAI API, which allows developers to access and integrate the chatbot into their applications and systems. OpenAI ChatGPT is a variant of the GPT (Generative Pre-trained Transformer) language model developed by OpenAI. It is designed to generate human-like text, allowing it to engage in conversation with users naturally and intuitively. OpenAI ChatGPT is trained on a large dataset of human conversations, allowing it to understand and respond to a wide range of topics and contexts. It can be used in various applications, such as chatbots, customer service agents, and language translation systems. OpenAI ChatGPT is a state-of-the-art language model able to generate coherent and natural text that can be indistinguishable from text written by a human. As an artificial intelligence, ChatGPT may need help to change academic writing practices. However, it can provide information and guidance on ways to improve people's academic writing skills.
  19. Tay, A.: ¬The next generation discovery citation indexes : a review of the landscape in 2020 (2020) 0.01 
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    Date
    17.11.2020 12:22:59
  20. Krüger, N.; Pianos, T.: Lernmaterialien für junge Forschende in den Wirtschaftswissenschaften als Open Educational Resources (OER) (2021) 0.01 
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    Date
    22. 5.2021 12:43:05

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