-
Tang, R.; Mehra, B.; Du, J.T.; Zhao, Y.C.: Paradigm shift in the field of information (2021)
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- Source
- Journal of the Association for Information Science and Technology. 72(2021) no.10, S.1217-1222
-
Haimson, O.L.; Carter, A.J.; Corvite, S.; Wheeler, B.; Wang, L.; Liu, T.; Lige, A.: ¬The major life events taxonomy : social readjustment, social media information sharing, and online network separation during times of life transition (2021)
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- Date
- 10. 6.2021 19:22:47
- Source
- Journal of the Association for Information Science and Technology. 72(2021) no.7, S.933-947
-
Araújo, P.C. de; Gutierres Castanha, R.C.; Hjoerland, B.: Citation indexing and indexes (2021)
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- Content
- DOI:10.5771/0943-7444-2021-1-72.
- Source
- Knowledge organization. 48(2021) no.1, S.72-101
-
Bu, Y.; Li, M.; Gu, W.; Huang, W.-b.: Topic diversity : a discipline scheme-free diversity measurement for journals (2021)
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- Source
- Journal of the Association for Information Science and Technology. 72(2021) no.5, S.523-539
-
Engel, B.: Corona-Gesundheitszertifikat als Exitstrategie (2020)
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- Date
- 4. 5.2020 17:22:28
-
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
- Source
- Information - Wissenschaft und Praxis. 72(2021) H.1, S.10-18
-
Oesterlund, C.; Jarrahi, M.H.; Willis, M.; Boyd, K.; Wolf, C.T.: Artificial intelligence and the world of work : a co-constitutive relationship (2021)
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- Abstract
- The use of intelligent machines-digital technologies that feature data-driven forms of customization, learning, and autonomous action-is rapidly growing and will continue to impact many industries and domains. This is consequential for communities of researchers, educators, and practitioners concerned with studying, supporting, and educating information professionals. In the face of new developments in artificial intelligence (AI), the research community faces 3 questions: (a) How is AI becoming part of the world of work? (b) How is the world of work becoming part of AI? and (c) How can the information community help address this topic of Work in the Age of Intelligent Machines (WAIM)? This opinion piece considers these 3 questions by drawing on discussion from an engaging 2019 iConference workshop organized by the NSF supported WAIM research coordination network (note: https://waim.network).
- Source
- Journal of the Association for Information Science and Technology. 72(2021) no.1, S.128-135
-
Tang, R.T.; Mehra, B.; BorgmaDun, J.T.; Zhao, Y.(C).: Framing a discussion on paradigm shift(s) in the field of information (2021)
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- Source
- Journal of the Association for Information Science and Technology. 72(2021) no.2, S.253-258
-
Ren, J.; Dong, H.; Padmanabhan, B.; Nickerson, J.V.: How does social media sentiment impact mass media sentiment? : a study of news in the financial markets (2021)
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- Source
- Journal of the Association for Information Science and Technology. 72(2021) no.9, S.1183-1197
-
McDowell, K.: Storytelling wisdom : story, information, and DIKW (2021)
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- Abstract
- Most information science (IS) definitions of information center individual rather than collective meaning-making. Because stories are constituted through narrative experience, and audiences are partly constitutive of the stories told to and with them, storytelling offers a framework for researching collective experiences of information. Stories are simultaneously empirical and socially constructed, bridging a key epistemological divide in IS. Storytelling as paradigm shift is explored and demonstrated in three sections that (a) define story and storytelling, (b) describe how story and storytelling can extend the data, information, knowledge, and wisdom (DIKW) pyramid, and (c) revise DIKW as a new storytelling S-DIKW framework. Future IS storytelling research should account for story and the dynamics of storytelling not merely as a subset of information or of information behavior, but as a fundamental information form.
- Source
- Journal of the Association for Information Science and Technology. 72(2021) no.10, S.1223-1233
-
Patin, B.; Sebastian, M.; Yeon, J.; Bertolini, D.; Grimm, A.: Interrupting epistemicide : a practical framework for naming, identifying, and ending epistemic injustice in the information professions (2021)
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- Abstract
- The information professions need a paradigmatic shift to address the epistemicide happening within our field and the ways we have systematically undermined knowledge systems falling outside of Western traditions. Epistemicide is the killing, silencing, annihilation, or devaluing of a knowledge system. We argue epistemicide happens when epistemic injustices are persistent and systematic and collectively work as a structured and systemic oppression of particular ways of knowing. We present epistemicide as a conceptual approach for understanding and analyzing ways knowledge systems are silenced or devalued within Information Science. We extend Fricker's framework by: (a) identifying new types of epistemic injustices, and (b) by adding to Fricker's concepts of Primary and Secondary Harm and introducing the concept of a Third Harm happening at an intergenerational level. Addressing epistemicide is critical for information professionals because we task ourselves with handling knowledge from every field. Acknowledgement of and taking steps to interrupt epistemic injustices and these specific harms are supportive of the social justice movements already happening. This paper serves as an interruption of epistemic injustice by presenting actions toward justice in the form of operationalized interventions of epistemicide.
- Source
- Journal of the Association for Information Science and Technology. 72(2021) no.10, S.1306-1318
-
Ma, J.; Lund, B.: ¬The evolution and shift of research topics and methods in library and information science (2021)
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- Footnote
- Erratum aus no.10: The articles listed above, intended for publication in Journal of the Association for Information Science and Technology volume 72, number 10, were erroneously published in Journal of the Association for Information Science and Technology, volume 72, number 8. The articles will remain as part of their prior issues and can be accessed by following the DOI links found in the references listed above. The Publisher apologizes for this error. https://doi.org/10.1002/asi.24474.
- Source
- Journal of the Association for Information Science and Technology. 72(2021) no.8, S.1059-1074
-
Vegt, A. van der; Zuccon, G.; Koopman, B.: Do better search engines really equate to better clinical decisions? : If not, why not? (2021)
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- Source
- Journal of the Association for Information Science and Technology. 72(2021) no.2, S.141-155
-
Rodríguez-Vidal, J.; Carrillo-de-Albornoz, J.; Gonzalo, J.; Plaza, L.: Authority and priority signals in automatic summary generation for online reputation management (2021)
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- Abstract
- Online reputation management (ORM) comprises the collection of techniques that help monitoring and improving the public image of an entity (companies, products, institutions) on the Internet. The ORM experts try to minimize the negative impact of the information about an entity while maximizing the positive material for being more trustworthy to the customers. Due to the huge amount of information that is published on the Internet every day, there is a need to summarize the entire flow of information to obtain only those data that are relevant to the entities. Traditionally the automatic summarization task in the ORM scenario takes some in-domain signals into account such as popularity, polarity for reputation and novelty but exists other feature to be considered, the authority of the people. This authority depends on the ability to convince others and therefore to influence opinions. In this work, we propose the use of authority signals that measures the influence of a user jointly with (a) priority signals related to the ORM domain and (b) information regarding the different topics that influential people is talking about. Our results indicate that the use of authority signals may significantly improve the quality of the summaries that are automatically generated.
- Source
- Journal of the Association for Information Science and Technology. 72(2021) no.5, S.583-594
-
Steichen, B.; Lowe, R.: How do multilingual users search? : An investigation of query and result list language choices (2021)
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- Source
- Journal of the Association for Information Science and Technology. 72(2021) no.6, S.759-776
-
Vakkari, P.; Völske, M.; Potthast, M.; Hagen, M.; Stein, B.: Predicting essay quality from search and writing behavior (2021)
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- Source
- Journal of the Association for Information Science and Technology. 72(2021) no.7, S.839-852
-
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.
- Source
- Journal of the Association for Information Science and Technology. 72(2021) no.7, S.853-869
-
Stvilia, B.; Lee, D.J.; Han, N.-e.: "Striking out on your own" : a study of research information management problems on university campuses (2021)
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- Source
- Journal of the Association for Information Science and Technology. 72(2021) no.8, S.963-978
-
Rieder, B.: Engines of order : a mechanology of algorithmic techniques (2020)
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- Footnote
- Rez. in: JASIST 72(2021) no.8, S.1092-1095 (Ryan Shaw).
-
Menin, B.: Construction of a model as an information channel between the physical phenomenon and observer (2021)
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- Source
- Journal of the Association for Information Science and Technology. 72(2021) no.9, S.1198-1210
