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Luo, L.; Ju, J.; Li, Y.-F.; Haffari, G.; Xiong, B.; Pan, S.: ChatRule: mining logical rules with large language models for knowledge graph reasoning (2023)
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- 23.11.2023 19:07:22
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Noever, D.; Ciolino, M.: ¬The Turing deception (2022)
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- https%3A%2F%2Farxiv.org%2Fabs%2F2212.06721&usg=AOvVaw3i_9pZm9y_dQWoHi6uv0EN
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Brembs, B.; Förstner, K.; Kraker, P.; Lauer, G.; Müller-Birn, C.; Schönbrodt, F.; Siems, R.: Auf einmal Laborratte (2021)
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Engel, B.: Corona-Gesundheitszertifikat als Exitstrategie (2020)
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- Date
- 4. 5.2020 17:22:28
-
Jansen, B.; Browne, G.M.: Navigating information spaces : index / mind map / topic map? (2021)
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Heisig, P.: Informationswissenschaft für Wissensmanager : Was Wissensmanager von der informationswissenschaftlichen Forschung lernen können (2021)
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- Date
- 22. 1.2021 14:38:21
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Schrenk, P.: Gesamtnote 1 für Signal - Telegram-Defizite bei Sicherheit und Privatsphäre : Signal und Telegram im Test (2022)
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- Date
- 22. 1.2022 14:01:14
-
Verma, N.; Fleischmann, K.R.; Zhou, L.; Xie, B.; Lee, M.K.; Rich, K.; Shiroma, K.; Jia, C.; Zimmerman, T.: Trust in COVID-19 public health information (2022)
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- Abstract
- Understanding the factors that influence trust in public health information is critical for designing successful public health campaigns during pandemics such as COVID-19. We present findings from a cross-sectional survey of 454 US adults-243 older (65+) and 211 younger (18-64) adults-who responded to questionnaires on human values, trust in COVID-19 information sources, attention to information quality, self-efficacy, and factual knowledge about COVID-19. Path analysis showed that trust in direct personal contacts (B = 0.071, p = .04) and attention to information quality (B = 0.251, p < .001) were positively related to self-efficacy for coping with COVID-19. The human value of self-transcendence, which emphasizes valuing others as equals and being concerned with their welfare, had significant positive indirect effects on self-efficacy in coping with COVID-19 (mediated by attention to information quality; effect = 0.049, 95% CI 0.001-0.104) and factual knowledge about COVID-19 (also mediated by attention to information quality; effect = 0.037, 95% CI 0.003-0.089). Our path model offers guidance for fine-tuning strategies for effective public health messaging and serves as a basis for further research to better understand the societal impact of COVID-19 and other public health crises.
-
Daquino, M.; Peroni, S.; Shotton, D.; Colavizza, G.; Ghavimi, B.; Lauscher, A.; Mayr, P.; Romanello, M.; Zumstein, P.: ¬The OpenCitations Data Model (2020)
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-
Breuer, T.; Tavakolpoursaleh, N.; Schaer, P.; Hienert, D.; Schaible, J.; Castro, L.J.: Online Information Retrieval Evaluation using the STELLA Framework (2022)
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- Abstract
- Involving users in early phases of software development has become a common strategy as it enables developers to consider user needs from the beginning. Once a system is in production, new opportunities to observe, evaluate and learn from users emerge as more information becomes available. Gathering information from users to continuously evaluate their behavior is a common practice for commercial software, while the Cranfield paradigm remains the preferred option for Information Retrieval (IR) and recommendation systems in the academic world. Here we introduce the Infrastructures for Living Labs STELLA project which aims to create an evaluation infrastructure allowing experimental systems to run along production web-based academic search systems with real users. STELLA combines user interactions and log files analyses to enable large-scale A/B experiments for academic search.
- Type
- p
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Cushing, A.L.; Kerrigan, P.: Personal information management burden : a framework for describing nonwork personal information management in the context of inequality (2022)
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- Abstract
- This research reports on qualitative interviews with 31 participants who are Irish parents, identify as lesbian, gay, bisexual, queer (LGBQ), and who expressed difficulty in the process of obtaining birth certificates for their children. Our aim was to use personal information management (PIM) and personal digital archiving (PDA) as a lens to explore the invisible work that the Irish government requires of a sexual minority parent group to obtain "equal" treatment in the birth registration and birth certificate process. Our findings suggest overlap with existing information behavior research (IB) that explore invisible information work, IB as a burden, information marginalization, information vulnerability, and information overload, and the everyday in IB. We propose a new framework: personal information burden (PIM-B) which is characterized by additional PIM activities, negative affect, lack of identity self extension to the personal information, and additional information seeking. We propose that a PIM-B may be used as an indicator of inequality in future research.
-
Böker, E.; Brettschneider, P.; Axtmann, A.; Mohammadianbisheh, N.: Kooperation im Forschungsdatenmanagement : Dimensionen der Vernetzung im Forschungsdatenmanagement am Beispiel der baden-württembergischen Landesinitiative bw2FDM (2020)
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- Location
- B-W
-
Albrecht, R.; Block, B.; Kratzer, M.; Thiessen, P.: Quantität als Qualität : was die Verbünde zur Verbesserung der Inhaltserschließung beitragen können (2021)
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-
Brettschneider, P.: Urheberrecht (2023)
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- Abstract
- In einer digitalen Wissensgesellschaft kommt dem Urheberrecht eine herausragende Bedeutung zu. Es ist - wie auch das Datenschutzrecht (s. Kapitel F 4 Informationelle Selbstbestimmung und Informationsfreiheit) - Kernbestandteil eines Kommunikationsrechts, das die Weitergabe und Nutzung von Informationen regelt. Daher mag es paradox klingen, dass das Urheberrecht Informationen - wie auch Ideen oder (wissenschaftliche) Theorien - überhaupt nicht schützt.1 Vielmehr greift sein Schutz erst, wenn sich Information z. B. in Form eines gedruckten oder digitalen Textes oder auch einer Rede manifestiert. Dieser richtet sich dann aber nicht auf den Informationsgehalt an sich, sondern seine Verkörperung in Form eines originellen und individuellen Werkes (s. Abschnitt 2 und 3).
-
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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- Source
- Cataloging and classification quarterly. 60(2022) no.6-7, p.490-513
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Bullard, J.; Watson, B.; Purdome, C.: Misrepresentation in the surrogate : author critiques of "Indians of North America" subject headings (2022)
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- Source
- Cataloging and classification quarterly. 60(2022) no.6-7, p.599-619
-
Sjögårde, P.; Ahlgren, P.; Waltman, L.: Algorithmic labeling in hierarchical classifications of publications : evaluation of bibliographic fields and term weighting approaches (2021)
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- Abstract
- Algorithmic classifications of research publications can be used to study many different aspects of the science system, such as the organization of science into fields, the growth of fields, interdisciplinarity, and emerging topics. How to label the classes in these classifications is a problem that has not been thoroughly addressed in the literature. In this study, we evaluate different approaches to label the classes in algorithmically constructed classifications of research publications. We focus on two important choices: the choice of (a) different bibliographic fields and (b) different approaches to weight the relevance of terms. To evaluate the different choices, we created two baselines: one based on the Medical Subject Headings in MEDLINE and another based on the Science-Metrix journal classification. We tested to what extent different approaches yield the desired labels for the classes in the two baselines. Based on our results, we recommend extracting terms from titles and keywords to label classes at high levels of granularity (e.g., topics). At low levels of granularity (e.g., disciplines) we recommend extracting terms from journal names and author addresses. We recommend the use of a new approach, term frequency to specificity ratio, to calculate the relevance of terms.
-
Lee, D.J.; Stvilia, B.; Ha, S.; Hahn, D.: ¬The structure and priorities of researchers' scholarly profile maintenance activities : a case of institutional research information management system (2023)
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- Abstract
- Research information management systems (RIMS) have become critical components of information technology infrastructure on university campuses. They are used not just for sharing and promoting faculty research, but also for conducting faculty evaluation and development, facilitating research collaborations, identifying mentors for student projects, and expert consultants for local businesses. This study is one of the first empirical investigations of the structure of researchers' scholarly profile maintenance activities in a nonmandatory institutional RIMS. By analyzing the RIMS's log data, we identified 11 tasks researchers performed when updating their profiles. These tasks were further grouped into three activities: (a) adding publication, (b) enhancing researcher identity, and (c) improving research discoverability. In addition, we found that junior researchers and female researchers were more engaged in maintaining their RIMS profiles than senior researchers and male researchers. The results provide insights for designing profile maintenance action templates for institutional RIMS that are tailored to researchers' characteristics and help enhance researchers' engagement in the curation of their research information. This also suggests that female and junior researchers can serve as early adopters of institutional RIMS.
- Date
- 22. 1.2023 18:43:02
-
Ma, L.: Information, platformized (2023)
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- Abstract
- Scholarly publications are often regarded as "information" by default. They are collected, organized, preserved, and made accessible as knowledge records. However, the instances of article retraction, misconduct and malpractices of researchers and the replication crisis have raised concerns about the informativeness and evidential qualities of information. Among many factors, knowledge production has moved away from "normal science" under the systemic influences of platformization involving the datafication and commodification of scholarly articles, research profiles and research activities. This article aims to understand the platformization of information by examining how research practices and knowledge production are steered by market and platform mechanisms in four ways: (a) ownership of information; (b) metrics for sale; (c) relevance by metrics, and (d) market-based competition. In conclusion, the article argues that information is platformized when platforms hold the dominating power in determining what kinds of information can be disseminated and rewarded and when informativeness is decoupled from the normative agreement or consensus co-constructed and co-determined in an open and public discourse.
- Date
- 22. 1.2023 19:01:47
-
Milard, B.; Pitarch, Y.: Egocentric cocitation networks and scientific papers destinies (2023)
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- Date
- 21. 3.2023 19:22:14
