-
Das, S.; Paik, J.H.: Gender tagging of named entities using retrieval-assisted multi-context aggregation : an unsupervised approach (2023)
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- Date
- 22. 3.2023 12:00:14
-
Price, L.; Robinson, L.: Tag analysis as a tool for investigating information behaviour : comparing fan-tagging on Tumblr, Archive of Our Own and Etsy (2021)
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- Abstract
- Purpose This article describes the third part of a three-stage study investigating the information behaviour of fans and fan communities, the first stage of which is described in the study by Price and Robinson (2017). Design/methodology/approach Using tag analysis as a method, a comparative case study was undertaken to explore three aspects of fan information behaviour: information gatekeeping; classifying and tagging and entrepreneurship and economic activity. The case studies took place on three sites used by fans-Tumblr, Archive of Our Own (AO3) and Etsy. Supplementary semi-structured interviews with site users were used to augment the findings with qualitative data. Findings These showed that fans used tags in a variety of ways quite apart from classification purposes. These included tags being used on Tumblr as meta-commentary and a means of dialogue between users, as well as expressors of emotion and affect towards posts. On AO3 in particular, fans had developed a practice called "tag wrangling" to mitigate the inherent "messiness" of tagging. Evidence was also found of a "hybrid market economy" on Etsy fan stores. From the study findings, a taxonomy of fan-related tags was developed. Research limitations/implications Findings are limited to the tagging practices on only three sites used by fans during Spring 2016, and further research on other similar sites are recommended. Longitudinal studies of these sites would be beneficial in understanding how or whether tagging practices change over time. Testing of the fan-tag taxonomy developed in this paper is also recommended. Originality/value This research develops a method for using tag analysis to describe information behaviour. It also develops a fan-tag taxonomy, which may be used in future research on the tagging practices of fans, which heretofore have been a little-studied section of serious leisure information users.
-
Noever, D.; Ciolino, M.: ¬The Turing deception (2022)
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- Source
- https%3A%2F%2Farxiv.org%2Fabs%2F2212.06721&usg=AOvVaw3i_9pZm9y_dQWoHi6uv0EN
-
Gomez, J.; Allen, K.; Matney, M.; Awopetu, T.; Shafer, S.: Experimenting with a machine generated annotations pipeline (2020)
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- Abstract
- The UCLA Library reorganized its software developers into focused subteams with one, the Labs Team, dedicated to conducting experiments. In this article we describe our first attempt at conducting a software development experiment, in which we attempted to improve our digital library's search results with metadata from cloud-based image tagging services. We explore the findings and discuss the lessons learned from our first attempt at running an experiment.
-
Oudenaar, H.; Bullard, J.: NOT A BOOK : goodreads and the risks of social cataloging with insufficient direction (2024)
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- Theme
- Social tagging
-
Nicholson, J.; Lake, S.: Implementation of FAST in two digital repositories : breaking silos, unifying subject practices (2023)
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- Abstract
- This study traces evolving approaches to the use of the FAST (Faceted Application of Subject Terminology) in digital repositories at Atkins Library at the University of North Carolina at Charlotte, where changes in staffing, the launch of an institutional repository, and efforts to address problematic language in metadata have necessitated a shift from an in-depth indexing approach to FAST to a lightweight "tagging" model more suited to present-day metadata needs. Despite the subject schema's apparent simplicity, Atkins' experience with FAST has shown that it still requires significant time, effort, and experimentation in order to deploy it to best effect.
-
Sun, J.; Zhu, M.; Jiang, Y.; Liu, Y.; Wu, L.L.: Hierarchical attention model for personalized tag recommendation : peer effects on information value perception (2021)
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- Abstract
- With the development of Web-based social networks, many personalized tag recommendation approaches based on multi-information have been proposed. Due to the differences in users' preferences, different users care about different kinds of information. In the meantime, different elements within each kind of information are differentially informative for user tagging behaviors. In this context, how to effectively integrate different elements and different information separately becomes a key part of tag recommendation. However, the existing methods ignore this key part. In order to address this problem, we propose a deep neural network for tag recommendation. Specifically, we model two important attentive aspects with a hierarchical attention model. For different user-item pairs, the bottom layered attention network models the influence of different elements on the features representation of the information while the top layered attention network models the attentive scores of different information. To verify the effectiveness of the proposed method, we conduct extensive experiments on two real-world data sets. The results show that using attention network and different kinds of information can significantly improve the performance of the recommendation model, and verify the effectiveness and superiority of our proposed model.
-
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.
-
Fugmann, R.: What is information? : an information veteran looks back (2022)
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- Date
- 18. 8.2022 19:22:57
-
Morris, V.: Automated language identification of bibliographic resources (2020)
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- Date
- 2. 3.2020 19:04:22
-
Tay, A.: ¬The next generation discovery citation indexes : a review of the landscape in 2020 (2020)
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- Date
- 17.11.2020 12:22:59
-
Manley, S.: Letters to the editor and the race for publication metrics (2022)
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- Date
- 6. 4.2022 19:22:26
-
Wu, P.F.: Veni, vidi, vici? : On the rise of scrape-and-report scholarship in online reviews research (2023)
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- Date
- 22. 1.2023 18:33:53
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Candela, G.: ¬An automatic data quality approach to assess semantic data from cultural heritage institutions (2023)
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- Date
- 22. 6.2023 18:23:31
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Geras, A.; Siudem, G.; Gagolewski, M.: Should we introduce a dislike button for academic articles? (2020)
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- Date
- 6. 1.2020 18:10:22
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Bullard, J.; Dierking, A.; Grundner, A.: Centring LGBT2QIA+ subjects in knowledge organization systems (2020)
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- Date
- 6.10.2020 21:22:33
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Lorentzen, D.G.: Bridging polarised Twitter discussions : the interactions of the users in the middle (2021)
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- 20. 1.2015 18:30:22
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Park, Y.J.: ¬A socio-technological model of search information divide in US cities (2021)
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- 20. 1.2015 18:30:22
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Cooke, N.A.; Kitzie, V.L.: Outsiders-within-Library and Information Science : reprioritizing the marginalized in critical sociocultural work (2021)
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- Date
- 18. 9.2021 13:22:27
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Zheng, X.; Chen, J.; Yan, E.; Ni, C.: Gender and country biases in Wikipedia citations to scholarly publications (2023)
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- Date
- 22. 1.2023 18:53:32
