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Oh, H.; Nam, S.; Zhu, Y.: Structured abstract summarization of scientific articles : summarization using full-text section information (2023)
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- Date
- 22. 1.2023 18:57:12
-
Pekar, V.; Binner, J.; Najafi, H.: Early detection of heterogeneous disaster events using social media (2020)
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- Editor
- Hale, C.
-
Soos, C.; Leazer, H.H.: Presentations of authorship in knowledge organization (2020)
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- Content
- Part of a special issue: The politics of knowledge organization, Part 2; guest editors: Robert D. Montoya and Gregory H. Leazer. DOI:10.5771/0943-7444-2020-6-486.
-
Liu, Y.; Qin, C.; Ma, X.; Liang, H.: Serendipity in human information behavior : a systematic review (2022)
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Tang, M.-C.; Liao, I.-H.: Preference diversity and openness to novelty : scales construction from the perspective of movie recommendation (2022)
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Xu, H.; Bu, Y.; Liu, M.; Zhang, C.; Sun, M.; Zhang, Y.; Meyer, E.; Salas, E.; Ding, Y.: Team power dynamics and team impact : new perspectives on scientific collaboration using career age as a proxy for team power (2022)
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Qin, C.; Liu, Y.; Ma, X.; Chen, J.; Liang, H.: Designing for serendipity in online knowledge communities : an investigation of tag presentation formats and openness to experience (2022)
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-
Potnis, D.; Halladay, M.: Information practices of administrators for controlling information in an online community of new mothers in rural America (2022)
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- Abstract
- Rarely does any empirical investigation show how administrators routinely control information in online communities and alleviate misinformation, hate speech, and information overload supported by profit-driven algorithms. Thematic analysis of in-depth phone interviews with members and administrators of a "Vaginal Birth After Cesarean" (VBAC) group with over 500 new mothers on Facebook shows that the administrators make 19 choices for recurring, authoritative but evolving 19 information-related activities when (a) forming the VBAC group over Facebook for local new mothers, (b) actively recruiting women who had a VBAC or have related competencies, (c) removing doctors and solicitors from the group, (d) setting up and revising guidelines for interactions in the group, (e) maintaining the focus of the group, (f) initiating distinct threads of conversations on the group, (g) tagging experts during conversations in the group, and (h) correcting misinformation. Thirty-eight information practices of the administrators indicate their nine gatekeeping roles, seven of these roles help administrators alleviate misinformation, hate speech, and information overload. Findings also show that the management of members and their interactions is a prerequisite to controlling information in online communities. Prescriptions to social networking companies and guidelines for administrators of online communities are discussed at the end.
-
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)
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- Abstract
- The information schools, also referred to as iField schools, are leaders in data science education. This study aims to develop a data science graduate curriculum model from an information science perspective to support iField schools in developing data science graduate education. In June 2020, information about 96 data science graduate programs from iField schools worldwide was collected and analyzed using a mixed research method based on inductive content analysis. A wide range of data science competencies and skills development and 12 knowledge topics covered by the curriculum were obtained. The humanistic model is further taken as the theoretical and methodological basis for course model construction, and 12 course knowledge topics are reconstructed into 4 course modules, including (a) data-driven methods and techniques; (b) domain knowledge; (c) legal, moral, and ethical aspects of data; and (d) shaping and developing personal traits, and human-centered data science graduate curriculum model is formed. At the end of the study, the wide application prospect of this model is discussed.
-
Qin, H.; Wang, H.; Johnson, A.: Understanding the information needs and information-seeking behaviours of new-generation engineering designers for effective knowledge management (2020)
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- Date
- 20. 1.2015 18:30:22
-
Metz, C.: ¬The new chatbots could change the world : can you trust them? (2022)
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-
Fugmann, R.: What is information? : an information veteran looks back (2022)
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- Date
- 18. 8.2022 19:22:57
-
Cole, C.: ¬A rebuttal of the book review of the book titled "The Consciousness' Drive: Information Need and the Search for Meaning" : mapping cognitive and document spaces (2020)
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Post, C.; Henry, T.; Nunnally, K.; Lanham, C.: ¬A colossal catalog adventure : representing Indie video games and game creators in library catalogs (2023)
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-
Satija, M.P.: Kim H. Veltman (1948-2020) : In Memoriam (2020)
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- Biographed
- Veltman, Kim H.
-
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).
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Jarrahi, M.H.; Lutz, C.; Boyd, K.; Oesterlund, C.; Willis, M.: Artificial intelligence in the work context (2023)
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Butlin, P.; Long, R.; Elmoznino, E.; Bengio, Y.; Birch, J.; Constant, A.; Deane, G.; Fleming, S.M.; Frith, C.; Ji, X.; Kanai, R.; Klein, C.; Lindsay, G.; Michel, M.; Mudrik, L.; Peters, M.A.K.; Schwitzgebel, E.; Simon, J.; VanRullen, R.: Consciousness in artificial intelligence : insights from the science of consciousness (2023)
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Morris, V.: Automated language identification of bibliographic resources (2020)
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- 2. 3.2020 19:04:22
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Oliver, C.: Leveraging KOS to extend our reach with automated processes (2021)
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