Search (112 results, page 1 of 6)

  • × year_i:[2020 TO 2030}
  1. Das, S.; Paik, J.H.: Gender tagging of named entities using retrieval-assisted multi-context aggregation : an unsupervised approach (2023) 0.08 
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    Date
    22. 3.2023 12:00:14
  2. Peters, I.: Folksonomies & Social Tagging (2023) 0.06 
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    Abstract
    Die Erforschung und der Einsatz von Folksonomies und Social Tagging als nutzerzentrierte Formen der Inhaltserschließung und Wissensrepräsentation haben in den 10 Jahren ab ca. 2005 ihren Höhenpunkt erfahren. Motiviert wurde dies durch die Entwicklung und Verbreitung des Social Web und der wachsenden Nutzung von Social-Media-Plattformen (s. Kapitel E 8 Social Media und Social Web). Beides führte zu einem rasanten Anstieg der im oder über das World Wide Web auffindbaren Menge an potenzieller Information und generierte eine große Nachfrage nach skalierbaren Methoden der Inhaltserschließung.
    Theme
    Social tagging
  3. 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) 0.05 
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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.
  4. Noever, D.; Ciolino, M.: ¬The Turing deception (2022) 0.04 
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    Source
    https%3A%2F%2Farxiv.org%2Fabs%2F2212.06721&usg=AOvVaw3i_9pZm9y_dQWoHi6uv0EN
  5. Gomez, J.; Allen, K.; Matney, M.; Awopetu, T.; Shafer, S.: Experimenting with a machine generated annotations pipeline (2020) 0.04 
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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.
  6. Oudenaar, H.; Bullard, J.: NOT A BOOK : goodreads and the risks of social cataloging with insufficient direction (2024) 0.03 
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    Theme
    Social tagging
  7. Nicholson, J.; Lake, S.: Implementation of FAST in two digital repositories : breaking silos, unifying subject practices (2023) 0.03 
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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.
  8. Dietz, K.: en.wikipedia.org > 6 Mio. Artikel (2020) 0.03 
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    Content
    "Die Englischsprachige Wikipedia verfügt jetzt über mehr als 6 Millionen Artikel. An zweiter Stelle kommt die deutschsprachige Wikipedia mit 2.3 Millionen Artikeln, an dritter Stelle steht die französischsprachige Wikipedia mit 2.1 Millionen Artikeln (via Researchbuzz: Firehose <https://rbfirehose.com/2020/01/24/techcrunch-wikipedia-now-has-more-than-6-million-articles-in-english/> und Techcrunch <https://techcrunch.com/2020/01/23/wikipedia-english-six-million-articles/?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+Techcrunch+%28TechCrunch%29&guccounter=1&guce_referrer=aHR0cHM6Ly9yYmZpcmVob3NlLmNvbS8yMDIwLzAxLzI0L3RlY2hjcnVuY2gtd2lraXBlZGlhLW5vdy1oYXMtbW9yZS10aGFuLTYtbWlsbGlvbi1hcnRpY2xlcy1pbi1lbmdsaXNoLw&guce_referrer_sig=AQAAAK0zHfjdDZ_spFZBF_z-zDjtL5iWvuKDumFTzm4HvQzkUfE2pLXQzGS6FGB_y-VISdMEsUSvkNsg2U_NWQ4lwWSvOo3jvXo1I3GtgHpP8exukVxYAnn5mJspqX50VHIWFADHhs5AerkRn3hMRtf_R3F1qmEbo8EROZXp328HMC-o>). 250120 via digithek ch = #fineBlog s.a.: Angesichts der Veröffentlichung des 6-millionsten Artikels vergangene Woche in der englischsprachigen Wikipedia hat die Community-Zeitungsseite "Wikipedia Signpost" ein Moratorium bei der Veröffentlichung von Unternehmensartikeln gefordert. Das sei kein Vorwurf gegen die Wikimedia Foundation, aber die derzeitigen Maßnahmen, um die Enzyklopädie gegen missbräuchliches undeklariertes Paid Editing zu schützen, funktionierten ganz klar nicht. *"Da die ehrenamtlichen Autoren derzeit von Werbung in Gestalt von Wikipedia-Artikeln überwältigt werden, und da die WMF nicht in der Lage zu sein scheint, dem irgendetwas entgegenzusetzen, wäre der einzige gangbare Weg für die Autoren, fürs erste die Neuanlage von Artikeln über Unternehmen zu untersagen"*, schreibt der Benutzer Smallbones in seinem Editorial <https://en.wikipedia.org/wiki/Wikipedia:Wikipedia_Signpost/2020-01-27/From_the_editor> zur heutigen Ausgabe."
  9. Gabler, S.: Vergabe von DDC-Sachgruppen mittels eines Schlagwort-Thesaurus (2021) 0.03 
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    Content
    Master thesis Master of Science (Library and Information Studies) (MSc), Universität Wien. Advisor: Christoph Steiner. Vgl.: https://www.researchgate.net/publication/371680244_Vergabe_von_DDC-Sachgruppen_mittels_eines_Schlagwort-Thesaurus. DOI: 10.25365/thesis.70030. Vgl. dazu die Präsentation unter: https://www.google.com/url?sa=i&rct=j&q=&esrc=s&source=web&cd=&ved=0CAIQw7AJahcKEwjwoZzzytz_AhUAAAAAHQAAAAAQAg&url=https%3A%2F%2Fwiki.dnb.de%2Fdownload%2Fattachments%2F252121510%2FDA3%2520Workshop-Gabler.pdf%3Fversion%3D1%26modificationDate%3D1671093170000%26api%3Dv2&psig=AOvVaw0szwENK1or3HevgvIDOfjx&ust=1687719410889597&opi=89978449.
  10. Voß, J.: Datenqualität als Grundlage qualitativer Inhaltserschließung (2021) 0.03 
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    Abstract
    Spätestens mit Beginn des 21. Jahrhunderts findet die inhaltliche Erschließung von Dokumenten praktisch ausschließlich in digitaler Form statt. Dies gilt sowohl für die fachliche Inhaltserschließung durch Bibliotheken und andere Dokumentationseinrichtungen als auch für die verschiedensten Formen inhaltlicher Beschreibung in Datenbanken - von Produktbeschreibungen im Internethandel bis zum Social Tagging. Selbst dort, wo analoge Ursprünge vorhanden sind, beispielsweise handschriftliche Notizen oder retrokonvertierte Findmittel, liegt die Sacherschließung am Ende in Form von Daten vor. Für die konkrete Ausprägung dieser Daten gibt es allerdings viele verschiedene Möglichkeiten. Der vorliegende Beitrag soll einen Überblick darüber geben, wie unterschiedliche Praktiken der Datenverarbeitung die Qualität von Inhaltserschließung beeinflussen und wie die Qualität von Erschließungsdaten beurteilt werden kann. Der Fokus liegt also nicht auf den Inhalten von Erschließungsdaten, sondern auf ihrer Form. Die Form von Daten ist keine rein technische Nebensächlichkeit, sondern durchaus relevant: So ist eine inhaltlich hervorragende Erschließung unbrauchbar, wenn die Erschließungsdaten aufgrund inkompatibler Datenformate nicht verwendet werden können. Zur qualitativen Einschätzung von Inhaltserschließung ist es daher notwendig, sich auch darüber im Klaren zu sein, wie und in welcher Form die Erschließungsdaten verarbeitet werden.
  11. 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) 0.02 
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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.
  12. Potnis, D.; Halladay, M.: Information practices of administrators for controlling information in an online community of new mothers in rural America (2022) 0.02 
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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.
  13. ¬Der Student aus dem Computer (2023) 0.02 
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    Date
    27. 1.2023 16:22:55
  14. Jaeger, L.: Wissenschaftler versus Wissenschaft (2020) 0.02 
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    2. 3.2020 14:08:22
  15. Ibrahim, G.M.; Taylor, M.: Krebszellen manipulieren Neurone : Gliome (2023) 0.02 
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    Source
    Spektrum der Wissenschaft. 2023, H.10, S.22-24
  16. Koch, C.: Was ist Bewusstsein? (2020) 0.02 
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    Date
    17. 1.2020 22:15:11
  17. Wagner, E.: Über Impfstoffe zur digitalen Identität? (2020) 0.02 
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  18. Engel, B.: Corona-Gesundheitszertifikat als Exitstrategie (2020) 0.02 
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  19. Arndt, O.: Totale Telematik (2020) 0.02 
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