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  • × year_i:[2020 TO 2030}
  1. Noever, D.; Ciolino, M.: ¬The Turing deception (2022) 0.07 
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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
    Type
    a
  2. ¬Der Student aus dem Computer (2023) 0.05 
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    Date
    27. 1.2023 16:22:55
    Type
    a
  3. Jaeger, L.: Wissenschaftler versus Wissenschaft (2020) 0.05 
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    Date
    2. 3.2020 14:08:22
    Type
    a
  4. Ibrahim, G.M.; Taylor, M.: Krebszellen manipulieren Neurone : Gliome (2023) 0.05 
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    Source
    Spektrum der Wissenschaft. 2023, H.10, S.22-24
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    a
  5. Bodoff, D.; Richter-Levin, Y.: Viewpoints in indexing term assignment (2020) 0.04 
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    Abstract
    The literature on assigned indexing considers three possible viewpoints-the author's viewpoint as evidenced in the title, the users' viewpoint, and the indexer's viewpoint-and asks whether and which of those views should be reflected in an indexer's choice of terms to assign to an item. We study this question empirically, as opposed to normatively. Based on the literature that discusses whose viewpoints should be reflected, we construct a research model that includes those same three viewpoints as factors that might be influencing term assignment in actual practice. In the unique study design that we employ, the records of term assignments made by identified indexers in academic libraries are cross-referenced with the results of a survey that those same indexers completed on political views. Our results indicate that in our setting, variance in term assignment was best explained by indexers' personal political views.
    Type
    a
  6. Sokolow, A.: Es menschelt in der KI-Welt (2023) 0.04 
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    Date
    27. 1.2023 16:22:55
    Type
    a
  7. Sokolow, A.: Chaostage bei ChatGPT (2023) 0.04 
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    27. 1.2023 16:22:55
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  8. Koch, C.: Was ist Bewusstsein? (2020) 0.04 
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    Date
    17. 1.2020 22:15:11
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  9. Wagner, E.: Über Impfstoffe zur digitalen Identität? (2020) 0.04 
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    Date
    4. 5.2020 17:22:40
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  10. Engel, B.: Corona-Gesundheitszertifikat als Exitstrategie (2020) 0.04 
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    4. 5.2020 17:22:28
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  11. Arndt, O.: Totale Telematik (2020) 0.04 
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    22. 6.2020 19:11:24
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  12. Arndt, O.: Erosion der bürgerlichen Freiheiten (2020) 0.04 
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    22. 6.2020 19:16:24
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  13. Baecker, D.: ¬Der Frosch, die Fliege und der Mensch : zum Tod von Humberto Maturana (2021) 0.04 
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    7. 5.2021 22:10:24
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  14. Eyert, F.: Mathematische Wissenschaftskommunikation in der digitalen Gesellschaft (2023) 0.04 
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    Source
    Mitteilungen der Deutschen Mathematiker-Vereinigung. 2023, H.1, S.22-25
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  15. Wüllner, J.: Obsidian - das Organisationstalent : Ideen, Notizen, Planungen, Projekte - diese App kann für Schule, Uni und Beruf hilfreich sein (2023) 0.04 
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    27. 1.2023 16:22:55
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  16. Fugmann, R.: What is information? : an information veteran looks back (2022) 0.04 
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    18. 8.2022 19:22:57
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  17. Zilm, G.: "Kl ist ein glorifizierter Taschenrechner" (2023) 0.04 
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    27. 1.2023 16:22:55
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  18. Vakkari, P.; Völske, M.; Potthast, M.; Hagen, M.; Stein, B.: Predicting essay quality from search and writing behavior (2021) 0.04 
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    Abstract
    Few studies have investigated how search behavior affects complex writing tasks. We analyze a dataset of 150 long essays whose authors searched the ClueWeb09 corpus for source material, while all querying, clicking, and writing activity was meticulously recorded. We model the effect of search and writing behavior on essay quality using path analysis. Since the boil-down and build-up writing strategies identified in previous research have been found to affect search behavior, we model each writing strategy separately. Our analysis shows that the search process contributes significantly to essay quality through both direct and mediated effects, while the author's writing strategy moderates this relationship. Our models explain 25-35% of the variation in essay quality through rather simple search and writing process characteristics alone, a fact that has implications on how search engines could personalize result pages for writing tasks. Authors' writing strategies and associated searching patterns differ, producing differences in essay quality. In a nutshell: essay quality improves if search and writing strategies harmonize-build-up writers benefit from focused, in-depth querying, while boil-down writers fare better with a broader and shallower querying strategy.
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    a
  19. He, C.; Wu, J.; Zhang, Q.: Research leadership flow determinants and the role of proximity in research collaborations (2020) 0.04 
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    Abstract
    Characterizing the leadership in research is important to revealing the interaction pattern and organizational structure through research collaboration. This research defines the leadership role based on the corresponding author's affiliation, and presents the first quantitative research on the factors and evolution of 5 proximity dimensions (geographical, cognitive, institutional, social, and economic) of research leadership. The data to capture research leadership consist of a set of multi-institution articles in the fields of "Life Sciences & Biomedicine," "Technology," "Physical Sciences," "Social Sciences," and "Humanities & Arts" during 2013-2017 from the Web of Science Core Citation Database. A Tobit regression-based gravity model indicates that the mass of research leadership of both the leading and participating institutions and the geographical, cognitive, institutional, social, and economic proximities are important factors for the flow of research leadership among Chinese institutions. In general, the effect of these proximities for research leadership flow has been declining recently. The outcome of this research sheds light on the leadership evolution and flow among Chinese institutions, and thus can provide evidence and support for grant allocation policies to facilitate scientific research and collaborations.
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    a
  20. Mehra, B.: Toward an impact-driven framework to operationalize social justice and implement ICT4D in the field of information (2023) 0.03 
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    Abstract
    Information researchers can further social justice and social equity to meet the needs of minority and underserved populations experiencing intersecting modes of cultural marginalization. Scholars of information and communication technologies for development (ICT4D) can find overlooked intersections with social justice in "community networking" research since the 1980s to overcome the digital divides between the haves and have-nots. To frame social justice initiatives within a consolidated vision of ICT4D in the field of information, this article proposes an impact-driven framework, expounded through five interrelated elements: why (motivations), with who (engaged constituencies), how (at external and internal levels to change traditional practices), and toward what (goal). It is explicated through select historical instances of "community networking" and digital divides, ICT4D, and social justice intersections. Significance of the elements is also demonstrated via this author's select information-related social justice research conducted in the United States. The urgency for critical and reflective conversations is important owing to historically abstracted human information behavior theory development within information research outdated in multiple contextualized needs of contemporary times. Historically situating impact-driven social justice research is important to further the relevance, existence, and growth of the information field as it strengthens its ties with ICT4D.
    Type
    a

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