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  • × year_i:[2020 TO 2030}
  1. Jörs, B.: Über den Grundbegriff der "Information" ist weiter zu reden und über die Existenzberechtigung der Disziplin auch : das Verlangen nach einer verständlichen Wissenschaftssprache (2020) 0.02 
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    Abstract
    Informationskompetenz in den Bibliotheken und in der Informationswissenschaft. Es ist erschreckend, dass im Zeitalter der vieldiskutierten "Desinformationen" und "Fake News" im Medienbereich der einzige Beitrag der Informationswissenschaft in der Betonung einer irgendwie ausgestalteten "Informationskompetenz", manchmal ergänzt um eine ebenso imaginäre "Medienkompetenz" besteht. Man möchte sich gern zum verbindlichen Entscheider darüber erklären, was wahre und falsche Information, was Hate Speech und Fakten sind. Der Türöffner dafür soll das bibliothekarisch besetzte Feld der "Informationskompetenz" sein, dass man nunmehr für den Gesamtbereich der "Information" besetzen möchte. Die ursprüngliche Beschränkung der bibliothekarischen Domäne der Informationskompetenz auf eine berufsrelevante Vermittlung von InformationsSUCHkompetenz wird dafür geopfert. Der Ursprung des Begriffes "Informationskompetenz" liegt im Bibliotheksbereich und sollte dort beheimatet bleiben.
  2. Michel, A.: Informationsdidaktik für verschiedene Wissenskulturen (2020) 0.02 
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    Abstract
    In den vergangenen Monaten sind in Password Online eine ganze Reihe von Beiträgen erschienen, die sich mit dem Thema Informationskompetenz auseinandergesetzt haben. Sie alle hatten einen unterschiedlichen Fokus, es einte sie jedoch eine eher kritische Perspektive auf ein universelles Kompetenzset, aus dem sich "Informationskompetenz" ergibt. Spannend ist insbesondere im Kontext des aktuellen, lebhaften Diskurses zu Fake News, dass einige Autor*innen explizit soziale und emotionale Faktoren als relevante Kriterien für den Umgang mit Information betonen. (Mit diesem Text und dem sich anschließenden Beitrag von Inka Tappenbeck möchten wir auf die "wissenskulturelle Praxis" als einen weiteren Faktor genauer eingehen, der prägt, was in unterschiedlichen Kontexten als Informationskompetenz zu verstehen ist).
  3. Böck, H.: ¬Eine App, die nicht zuverlässig funktioniert : Corona-Tracing (2020) 0.02 
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    Source
    https://www.golem.de/news/corona-tracing-eine-app-die-nicht-zuverlaessig-funktioniert-2004-148057.html
  4. Mahn, J.: Wenn Maschinen philosophieren - wo bleibt da der Mensch? (2020) 0.02 
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    https://www.heise.de/news/heiseshow-Wenn-Maschinen-philosophieren-wo-bleibt-da-der-Mensch-4974474.html?view=print
  5. Jörs, B.: Informationskompetenz oder Information Literacy : Das große Missverständnis und Versäumnis der Bibliotheks- und Informationswissenschaft im Zeitalter der Desinformation. Teil 3: Wie erst spezifisches Fachwissen zu Medien- und Informationskompetenz führen kann. Ergänzende Anmerkungen zum "16th International Symposium of Information Science" ("ISI 2021", Regensburg 8. März - 10. März 2021) (2021) 0.02 
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    Abstract
    In dieser Reihe wird die Bibliotheks- und Informationswissenschaft und ihr Umgang mit der "Informationskompetenz" kritisiert und die Verwertbarkeit ihrer Beiträge für die Aufdeckung und "Bekämpfung" von Desinformationen und Fake News infrage gestellt (Open Password - nachzutragen). Alternativ dazu wurde in Teil 2 das Forschungsdesign zu einer ersten, nationalen empirischen Untersuchung zum Thema: "Digitale Nachrichten- und Informationskompetenzen der deutschen Bevölkerung im Test" der Stiftung "Neue Verantwortung", einem Berliner Forschungs-"Think Tank für die Gesellschaft im technologischen Wandel" (März 2021), vorgestellt (https://www.stiftung-nv.de/de/publikation/quelle-internet-digitale-nachrichten- und-informationskompetenzen-der-deutschen). In Teil 3 werden die Inhalte und Testverfahren der Berliner Studie interpretiert und bewertet. In Teil 4 werden ausgewählte Ergebnisse der Studie vorgestellt, die in eine Bestandsaufnahme zum Stand der operativen "Informationskompetenz"-Forschung allgemein und in den Nachbarwissenschaften münden sollte.
  6. Holland, M.: Sechs Jahre nach AlphaGo : Mensch besiegt erneut "zuverlässig" stärkste Go-KIs (2023) 0.02 
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    https://www.heise.de/news/Sechs-Jahre-nach-AlphaGo-Mensch-besiegt-erneut-zuverlaessig-staerkste-Go-KIs-7520941.html?view=print
  7. Jaeger, L.: Wissenschaftler versus Wissenschaft (2020) 0.02 
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    Date
    2. 3.2020 14:08:22
  8. Çetta, D.; Griesbaum, J.; Montanari, E.G.; Mandl, T.: Selbstbestimmt durch Informationskompetenz (2021) 0.02 
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    Abstract
    Das Internet verändert die Informationswelt und Gesellschaft. Es bietet zum einen umfassenden Zugriff auf Informationen, zugleich stellt es einen komplexen, interessengesteuerten und teilweise intransparenten Informationsraum dar. Die Menge an verfügbaren Informationen nimmt stetig zu, was auch daran liegt, dass Informationen von jeder Person mühelos ins Netz gestellt werden können. So gelangen auch ungeprüfte Informationen in Umlauf, was wiederum die Bewertung und Bestimmung der Glaubwürdigkeit von Informationen erschwert. Das Internet macht es einfach, Fake News und Desinformation zu verbreiten. Im privaten Bereich haben Nutzer_innen es mit Phishing- oder Spammails, falschen Online-Shops oder irreführenden Gesundheitsinformationen zu tun. Im aktuellen Corona-Kontext kursieren diverse Falschinformationen zu gesundheitsbezogenen Themen. Kurz: Das Internet ist eine fordernde Informationsumwelt. Eine Informationsumwelt, die Nutzer_innen auch überfordern kann. Verfügt man nicht über hinreichende Informationskompetenz so läuft man Gefahr sich manipulieren zu lassen und sich dabei noch für informiert zu halten.
  9. Griesbaum, J.; März, S.; Woltermann, T.: Wie man Fake News und eigene Vorurteile überwindet : Die Pandemie trifft die Armen, die Bildungswilligen und die ländlichen Räume am Schlimmsten. "Intercultural Perspectives on Information Literacy": Ein deutsch-indischer Vergleich (2021) 0.02 
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  10. Frederick, D.E.: ChatGPT: a viral data-driven disruption in the information environment (2023) 0.02 
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    Source
    Library Hi Tech News. 40(7951) [10.1108/LHTN-04-2023-0063]
  11. Wagner, E.: Über Impfstoffe zur digitalen Identität? (2020) 0.02 
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    Date
    4. 5.2020 17:22:40
  12. Engel, B.: Corona-Gesundheitszertifikat als Exitstrategie (2020) 0.02 
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    4. 5.2020 17:22:28
  13. Arndt, O.: Totale Telematik (2020) 0.02 
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    Date
    22. 6.2020 19:11:24
  14. Arndt, O.: Erosion der bürgerlichen Freiheiten (2020) 0.02 
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    22. 6.2020 19:16:24
  15. Baecker, D.: ¬Der Frosch, die Fliege und der Mensch : zum Tod von Humberto Maturana (2021) 0.02 
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    Date
    7. 5.2021 22:10:24
  16. Eyert, F.: Mathematische Wissenschaftskommunikation in der digitalen Gesellschaft (2023) 0.02 
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    Mitteilungen der Deutschen Mathematiker-Vereinigung. 2023, H.1, S.22-25
  17. Brown, T.B.; Mann, B.; Ryder, N.; Subbiah, M.; Kaplan, J.; Dhariwal, P.; Neelakantan, A.; Shyam, P.; Sastry, G.; Askell, A.; Agarwal, S.; Herbert-Voss, A.; Krueger, G.; Henighan, T.; Child, R.; Ramesh, A.; Ziegler, D.M.; Wu, J.; Winter, C.; Hesse, C.; Chen, M.; Sigler, E.; Litwin, M.; Gray, S.; Chess, B.; Clark, J.; Berner, C.; McCandlish, S.; Radford, A.; Sutskever, I.; Amodei, D.: Language models are few-shot learners (2020) 0.02 
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    Abstract
    Recent work has demonstrated substantial gains on many NLP tasks and benchmarks by pre-training on a large corpus of text followed by fine-tuning on a specific task. While typically task-agnostic in architecture, this method still requires task-specific fine-tuning datasets of thousands or tens of thousands of examples. By contrast, humans can generally perform a new language task from only a few examples or from simple instructions - something which current NLP systems still largely struggle to do. Here we show that scaling up language models greatly improves task-agnostic, few-shot performance, sometimes even reaching competitiveness with prior state-of-the-art fine-tuning approaches. Specifically, we train GPT-3, an autoregressive language model with 175 billion parameters, 10x more than any previous non-sparse language model, and test its performance in the few-shot setting. For all tasks, GPT-3 is applied without any gradient updates or fine-tuning, with tasks and few-shot demonstrations specified purely via text interaction with the model. GPT-3 achieves strong performance on many NLP datasets, including translation, question-answering, and cloze tasks, as well as several tasks that require on-the-fly reasoning or domain adaptation, such as unscrambling words, using a novel word in a sentence, or performing 3-digit arithmetic. At the same time, we also identify some datasets where GPT-3's few-shot learning still struggles, as well as some datasets where GPT-3 faces methodological issues related to training on large web corpora. Finally, we find that GPT-3 can generate samples of news articles which human evaluators have difficulty distinguishing from articles written by humans. We discuss broader societal impacts of this finding and of GPT-3 in general.
  18. Donath, A.: Nutzungsverbote für ChatGPT (2023) 0.02 
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    https://www.golem.de/news/schule-und-wissenschaft-nutzungsverbote-gegen-chatgpt-ausgesprochen-2301-171004.html
  19. 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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  20. 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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