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  • × year_i:[2020 TO 2030}
  1. Noever, D.; Ciolino, M.: ¬The Turing deception (2022) 0.06 
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    Abstract
    This research revisits the classic Turing test and compares recent large language models such as ChatGPT for their abilities to reproduce human-level comprehension and compelling text generation. Two task challenges- summary and question answering- prompt ChatGPT to produce original content (98-99%) from a single text entry and sequential questions initially posed by Turing in 1950. We score the original and generated content against the OpenAI GPT-2 Output Detector from 2019, and establish multiple cases where the generated content proves original and undetectable (98%). The question of a machine fooling a human judge recedes in this work relative to the question of "how would one prove it?" The original contribution of the work presents a metric and simple grammatical set for understanding the writing mechanics of chatbots in evaluating their readability and statistical clarity, engagement, delivery, overall quality, and plagiarism risks. While Turing's original prose scores at least 14% below the machine-generated output, whether an algorithm displays hints of Turing's true initial thoughts (the "Lovelace 2.0" test) remains unanswerable.
    Source
    https%3A%2F%2Farxiv.org%2Fabs%2F2212.06721&usg=AOvVaw3i_9pZm9y_dQWoHi6uv0EN
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  2. ¬Der Student aus dem Computer (2023) 0.05 
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    Date
    27. 1.2023 16:22:55
    Type
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  3. Jaeger, L.: Wissenschaftler versus Wissenschaft (2020) 0.04 
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    Date
    2. 3.2020 14:08:22
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  4. Ibrahim, G.M.; Taylor, M.: Krebszellen manipulieren Neurone : Gliome (2023) 0.04 
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    Source
    Spektrum der Wissenschaft. 2023, H.10, S.22-24
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  5. Sokolow, A.: Es menschelt in der KI-Welt (2023) 0.04 
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    Date
    27. 1.2023 16:22:55
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  6. Sokolow, A.: Chaostage bei ChatGPT (2023) 0.04 
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    27. 1.2023 16:22:55
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  7. Koch, C.: Was ist Bewusstsein? (2020) 0.03 
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    Date
    17. 1.2020 22:15:11
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  8. Wagner, E.: Über Impfstoffe zur digitalen Identität? (2020) 0.03 
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    4. 5.2020 17:22:40
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  9. Engel, B.: Corona-Gesundheitszertifikat als Exitstrategie (2020) 0.03 
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    4. 5.2020 17:22:28
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  10. Arndt, O.: Totale Telematik (2020) 0.03 
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    22. 6.2020 19:11:24
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  11. Arndt, O.: Erosion der bürgerlichen Freiheiten (2020) 0.03 
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    22. 6.2020 19:16:24
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  12. Baecker, D.: ¬Der Frosch, die Fliege und der Mensch : zum Tod von Humberto Maturana (2021) 0.03 
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    7. 5.2021 22:10:24
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  13. Eyert, F.: Mathematische Wissenschaftskommunikation in der digitalen Gesellschaft (2023) 0.03 
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    Source
    Mitteilungen der Deutschen Mathematiker-Vereinigung. 2023, H.1, S.22-25
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  14. Wüllner, J.: Obsidian - das Organisationstalent : Ideen, Notizen, Planungen, Projekte - diese App kann für Schule, Uni und Beruf hilfreich sein (2023) 0.03 
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    27. 1.2023 16:22:55
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  15. Fugmann, R.: What is information? : an information veteran looks back (2022) 0.03 
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    18. 8.2022 19:22:57
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  16. Zilm, G.: "Kl ist ein glorifizierter Taschenrechner" (2023) 0.03 
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    Date
    27. 1.2023 16:22:55
    Type
    a
  17. Tay, A.: ¬The next generation discovery citation indexes : a review of the landscape in 2020 (2020) 0.03 
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    Abstract
    Conclusion There is a reason why Google Scholar and Web of Science/Scopus are kings of the hills in their various arenas. They have strong brand recogniton, a head start in development and a mass of eyeballs and users that leads to an almost virtious cycle of improvement. Competing against such well established competitors is not easy even when one has deep pockets (Microsoft) or a killer idea (scite). It will be interesting to see how the landscape will look like in 2030. Stay tuned for part II where I review each particular index.
    Date
    17.11.2020 12:22:59
    Type
    a
  18. Morris, V.: Automated language identification of bibliographic resources (2020) 0.03 
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    Date
    2. 3.2020 19:04:22
    Type
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  19. Heisig, P.: Informationswissenschaft für Wissensmanager : Was Wissensmanager von der informationswissenschaftlichen Forschung lernen können (2021) 0.03 
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    Date
    22. 1.2021 14:38:21
    Type
    a
  20. 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) 0.03 
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    Date
    22. 5.2021 12:43:05
    Type
    a

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