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  1. Rösch, H.: Informationsethik (2023) 0.00 
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  2. Cui, Y.; Wang, Y.; Liu, X.; Wang, X.; Zhang, X.: Multidimensional scholarly citations : characterizing and understanding scholars' citation behaviors (2023) 0.00 
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    Abstract
    This study investigates scholars' citation behaviors from a fine-grained perspective. Specifically, each scholarly citation is considered multidimensional rather than logically unidimensional (i.e., present or absent). Thirty million articles from PubMed were accessed for use in empirical research, in which a total of 15 interpretable features of scholarly citations were constructed and grouped into three main categories. Each category corresponds to one aspect of the reasons and motivations behind scholars' citation decision-making during academic writing. Using about 500,000 pairs of actual and randomly generated scholarly citations, a series of Random Forest-based classification experiments were conducted to quantitatively evaluate the correlation between each constructed citation feature and citation decisions made by scholars. Our experimental results indicate that citation proximity is the category most relevant to scholars' citation decision-making, followed by citation authority and citation inertia. However, big-name scholars whose h-indexes rank among the top 1% exhibit a unique pattern of citation behaviors-their citation decision-making correlates most closely with citation inertia, with the correlation nearly three times as strong as that of their ordinary counterparts. Hopefully, the empirical findings presented in this paper can bring us closer to characterizing and understanding the complex process of generating scholarly citations in academia.
  3. Ali, C.B.; Haddad, H.; Slimani, Y.: Multi-word terms selection for information retrieval (2022) 0.00 
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  4. Wu, D.; Xu, H.; Sun, Y.; Lv, S.: What should we teach? : A human-centered data science graduate curriculum model design for iField schools (2023) 0.00 
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  5. Garrel, J. von; Mayer, J.; Mühlfeld, M.: Künstliche Intelligenz im Studium : eine quantitative Befragung von Studierenden zur Nutzung von ChatGPT & Co. (2023) 0.00 
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    Source
    https://opus4.kobv.de/opus4-h-da/frontdoor/deliver/index/docId/395/file/befragung_ki-im-studium.pdf
  6. Safder, I.; Ali, M.; Aljohani, N.R.; Nawaz, R.; Hassan, S.-U.: Neural machine translation for in-text citation classification (2023) 0.00 
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    Abstract
    The quality of scientific publications can be measured by quantitative indices such as the h-index, Source Normalized Impact per Paper, or g-index. However, these measures lack to explain the function or reasons for citations and the context of citations from citing publication to cited publication. We argue that citation context may be considered while calculating the impact of research work. However, mining citation context from unstructured full-text publications is a challenging task. In this paper, we compiled a data set comprising 9,518 citations context. We developed a deep learning-based architecture for citation context classification. Unlike feature-based state-of-the-art models, our proposed focal-loss and class-weight-aware BiLSTM model with pretrained GloVe embedding vectors use citation context as input to outperform them in multiclass citation context classification tasks. Our model improves on the baseline state-of-the-art by achieving an F1 score of 0.80 with an accuracy of 0.81 for citation context classification. Moreover, we delve into the effects of using different word embeddings on the performance of the classification model and draw a comparison between fastText, GloVe, and spaCy pretrained word embeddings.
  7. Zhang, Y.; Zheng, G.; Yan, H.: Bridging information and communication technology and older adults by social network : an action research in Sichuan, China (2023) 0.00 
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  8. Jiao, H.; Qiu, Y.; Ma, X.; Yang, B.: Dissmination effect of data papers on scientific datasets (2024) 0.00 
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  9. Grundlagen der Informationswissenschaft (2023) 0.00 
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    Footnote
    Vgl.: https://doi.org/10.1515/9783110769043. Rez. in: o-bib. 10(2023), H.2 (A. Oßwald) [https://www.o-bib.de/bib/article/view/5934/8904]; Bibliothek: Forschung und Praxis. 47(2023) H.2, S.415-417 (D. Weisbrod) [https://www.degruyter.com/document/doi/10.1515/bfp-2023-0031/html].
  10. Levy, S.: Facebook : Weltmacht am Abgrund - Der unzensierte Blick auf den Tech-Giganten (2020) 0.00 
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    Footnote
    Originaltitel: Facebook: The Inside Story. Rez. in: Spektrum der Wissenschaft. 2020, H.5, S.888-89 (Adrain Lobe)
  11. Falavarjani, S.A.M.; Jovanovic, J.; Fani, H.; Ghorbani, A.A.; Noorian, Z.; Bagheri, E.: On the causal relation between real world activities and emotional expressions of social media users (2021) 0.00 
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  12. Seemann, M.: ¬Die Macht der Plattformen : Politik in Zeiten der Internetgiganten (2021) 0.00 
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    Content
    Vgl.: Rez. unter: https://www.perlentaucher.de/buch/michael-seemann/die-macht-der-plattformen.html; https://www.rkm-journal.de/archives/23149 (H.-D. Kübler)).
  13. Kissinger, H.A.; Schmidt, E.; Huttenlocher, D.: ¬The age of AI : and our human future (2021) 0.00 
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    Footnote
    Rez. in Spektrum der Wissenschaft 2022, H.6, S.89-90 (A. Lobe) u.d.T.: Auf dem Weg in eine neue Wissensgesellschaft.
  14. Cho, H.; Pham, M.T.N.; Leonard, K.N.; Urban, A.C.: ¬A systematic literature review on image information needs and behaviors (2022) 0.00 
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  15. Aleksander, K.; Bucher, M.; Dornick, S.; Franke-Maier, M.; Strickert, M.: Mehr Wissen sichtbar machen : Inhaltserschließung in Bibliotheken und alternative Zukünfte. (2022) 0.00 
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    Source
    027.7 Zeitschrift für Bibliothekskultur. 9(2022), H.4
  16. Huber, W.: Menschen, Götter und Maschinen : eine Ethik der Digitalisierung (2022) 0.00 
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    Footnote
    Rez. in Spektrum der Wissenschaft. 2022, H.11, S.86 (M. Springer).
  17. Kratochwil, F.; Peltonen, H.: Constructivism (2022) 0.00 
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  18. Weßels, D.: ChatGPT - ein Meilenstein der KI-Entwicklung (2022) 0.00 
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    Content
    Vgl. auch den Abdruck des Beitrages in: Mitteilungen der Deutschen Mathematiker-Vereinigung. 2023, H.1, S.17-19. Vgl. auch ihr Video bei Youtube: https://www.youtube.com/watch?v=cMuBo_rH15c.
  19. Fielitz, M.; Marcks, H.: Digitaler Faschismus : die sozialen Medien afs Motor des Rechtsextremismus (2020) 0.00 
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  20. Kerst, V.; Ruhose, F.: Schleichender Blackout : wie wir das digitale Desaster verhindern (2023) 0.00 
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    Footnote
    Rez. in: Spektrum der Wissenschaft. 2024, H.1 (Wolfgang Skrandies): "Die Autoren analysieren die Faktoren, die die digitale Transformation in Deutschland bremsen und zeigen Lösungsmöglichkeiten auf".

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