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Vakkari, P.; Järvelin, K.; Chang, Y.-W.: ¬The association of disciplinary background with the evolution of topics and methods in Library and Information Science research 1995-2015 (2023)
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- Date
- 22. 6.2023 18:15:06
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- e
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Zweig, K.; Luttenberger, J.: KI ist keine Magie (2020)
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- Date
- 6. 1.2020 16:29:35
-
Balakrishnan, U,; Soergel, D.; Helfer, O.: Representing concepts through description logic expressions for knowledge organization system (KOS) mapping (2020)
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- Language
- e
-
Ilhan, A.; Fietkiewicz, K.J.: Data privacy-related behavior and concerns of activity tracking technology users from Germany and the USA (2021)
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- Abstract
- Purpose This investigation aims to examine the differences and similarities between activity tracking technology users from two regions (the USA and Germany) in their intended privacy-related behavior. The focus lies on data handling after hypothetical discontinuance of use, data protection and privacy policy seeking, and privacy concerns. Design/methodology/approach The data was collected through an online survey in 2019. In order to identify significant differences between participants from Germany and the USA, the chi-squared test and the Mann-Whitney U test were applied. Findings The intensity of several privacy-related concerns was significantly different between the two groups. The majority of the participants did not inform themselves about the respective data privacy policies or terms and conditions before installing an activity tracking application. The majority of the German participants knew that they could request the deletion of all their collected data. In contrast, only 35% out of 68 participants from the US knew about this option. Research limitations/implications This study intends to raise awareness about managing the collected health and fitness data after stopping to use activity tracking technologies. Furthermore, to reduce privacy and security concerns, the involvement of the government, companies and users is necessary to handle and share data more considerably and in a sustainable way. Originality/value This study sheds light on users of activity tracking technologies from a broad perspective (here, participants from the USA and Germany). It incorporates not only concerns and the privacy paradox but (intended) user behavior, including seeking information on data protection and privacy policy and handling data after hypothetical discontinuance of use of the technology.
- Date
- 20. 1.2015 18:30:22
- Language
- e
-
Danskin, A.; Seeman, D.; Bouchard, M.; Kammerer, K.; Kilpatrick, L.; Mumbower, K.: FAST the inside track : where we are, where do we want to be, and how do we get there? (2023)
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Meng, K.; Ba, Z.; Ma, Y.; Li, G.: ¬A network coupling approach to detecting hierarchical linkages between science and technology (2024)
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- Abstract
- Detecting science-technology hierarchical linkages is beneficial for understanding deep interactions between science and technology (S&T). Previous studies have mainly focused on linear linkages between S&T but ignored their structural linkages. In this paper, we propose a network coupling approach to inspect hierarchical interactions of S&T by integrating their knowledge linkages and structural linkages. S&T knowledge networks are first enhanced with bidirectional encoder representation from transformers (BERT) knowledge alignment, and then their hierarchical structures are identified based on K-core decomposition. Hierarchical coupling preferences and strengths of the S&T networks over time are further calculated based on similarities of coupling nodes' degree distribution and similarities of coupling edges' weight distribution. Extensive experimental results indicate that our approach is feasible and robust in identifying the coupling hierarchy with superior performance compared to other isomorphism and dissimilarity algorithms. Our research extends the mindset of S&T linkage measurement by identifying patterns and paths of the interaction of S&T hierarchical knowledge.
- Language
- e
-
Gomez, J.; Allen, K.; Matney, M.; Awopetu, T.; Shafer, S.: Experimenting with a machine generated annotations pipeline (2020)
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Gödert, W.; Lepsky, K.: Information literacy and autonomy : a cognitive view (2023)
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Lepsky, K.: Automatisches Indexieren (2023)
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- Date
- 24.11.2022 13:29:16
-
Hertzum, M.: Information seeking by experimentation : trying something out to discover what happens (2023)
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- Date
- 21. 3.2023 19:22:29
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- e
-
Chan, M.; Daniels, J.; Furger, S.; Rasmussen, D.; Shoemaker, E.; Snow, K.: ¬The development and future of the cataloguing code of ethics (2022)
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Herb, U.: Sci-hub = Spy-Hub? (2020)
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- Date
- 29. 6.2019 17:46:17
-
Verch, U.: ¬Das Bildzitat - Fotos und Abbildungen richtig zitieren (2022)
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- Date
- 28. 1.2022 11:05:29
-
Myntti, J.; Lewis, N.; McCormack, A.M.; Rockwell, K.: Regional connections to national authority files (2020)
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Shiri, A.; Kelly, E.J.; Kenfield, A.; Woolcott, L.; Masood, K.; Muglia, C.; Thompson, S.: ¬A faceted conceptualization of digital object reuse in digital repositories (2020)
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Schwarz, S.: Kompetenzvermittlung digital : how to ... RDA? : Konzeption eines digitalen Lernangebots an der Universitäts- und Stadtbibliothek Köln (2021)
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- Abstract
- Die Universitäts- und Stadtbibliothek Köln stellt im Zuge der Coronapandemie und der dadurch beschleunigten Digitalisierungsprozesse ihr universitätsinternes Präsenzschulungsangebot zum Regelwerk RDA auf ein digitales Kursangebot um. Dafür wurden Inhalte, Struktur und Ablauf der bisherigen RDA-Schulungen bedarfsorientiert angepasst, aktualisiert, reorganisiert und anhand mediendidaktischer Standards digital aufbereitet. Der neu entstandene E-Learning-Kurs "How to ... RDA?" bietet ein rein digitales RDA-Lernformat mit dem Fokus auf Flexibilität, Praxisnähe und unterschiedliche Lernbedürfnisse.
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Al-Khatib, K.; Ghosa, T.; Hou, Y.; Waard, A. de; Freitag, D.: Argument mining for scholarly document processing : taking stock and looking ahead (2021)
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Golub, K.: Automated subject indexing : an overview (2021)
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Schönbächler, E.; Strasser, T.; Himpsl-Gutermann, K.: Vom Chat zum Check : Informationskompetenz mit ChatGPT steigern (2023)
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Dobreski, B.; Snow, K.; Moulaison-Sandy, H.: On overlap and otherness : a comparison of three vocabularies' approaches to LGBTQ+ identity (2022)
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