Search (122 results, page 1 of 7)

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Date

22. 3.2023 12:00:14

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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

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Abstract

Purpose Public attitudes towards COVID-19 and social distancing are critical in reducing its spread. It is therefore important to understand public reactions and information dissemination in all major forms, including on social media. This article investigates important issues reflected on Twitter in the early stages of the public reaction to COVID-19. Design/methodology/approach A thematic analysis of the most retweeted English-language tweets mentioning COVID-19 during March 10-29, 2020. Findings The main themes identified for the 87 qualifying tweets accounting for 14 million retweets were: lockdown life; attitude towards social restrictions; politics; safety messages; people with COVID-19; support for key workers; work; and COVID-19 facts/news. Research limitations/implications Twitter played many positive roles, mainly through unofficial tweets. Users shared social distancing information, helped build support for social distancing, criticised government responses, expressed support for key workers and helped each other cope with social isolation. A few popular tweets not supporting social distancing show that government messages sometimes failed. Practical implications Public health campaigns in future may consider encouraging grass roots social web activity to support campaign goals. At a methodological level, analysing retweet counts emphasised politics and ignored practical implementation issues. Originality/value This is the first qualitative analysis of general COVID-19-related retweeting.

Date

20. 1.2015 18:30:22

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Abstract

Purpose With the shift to an information-based society and to the de-centralisation of information, information overload has attracted a growing interest in the computer and information science research communities. However, there is no clear understanding of the meaning of the term, and while there have been many proposed definitions, there is no consensus. The goal of this work was to define the concept of "information overload". In order to do so, a concept analysis using Rodgers' approach was performed. Design/methodology/approach A concept analysis using Rodgers' approach based on a corpus of documents published between 2010 and September 2020 was conducted. One surrogate for "information overload", which is "cognitive overload" was identified. The corpus of documents consisted of 151 documents for information overload and ten for cognitive overload. All documents were from the fields of computer science and information science, and were retrieved from three databases: Association for Computing Machinery (ACM) Digital Library, SCOPUS and Library and Information Science Abstracts (LISA). Findings The themes identified from the authors' concept analysis allowed us to extract the triggers, manifestations and consequences of information overload. They found triggers related to information characteristics, information need, the working environment, the cognitive abilities of individuals and the information environment. In terms of manifestations, they found that information overload manifests itself both emotionally and cognitively. The consequences of information overload were both internal and external. These findings allowed them to provide a definition of information overload. Originality/value Through the authors' concept analysis, they were able to clarify the components of information overload and provide a definition of the concept.

Date

22. 4.2023 19:27:56

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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.

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Source

https%3A%2F%2Farxiv.org%2Fabs%2F2212.06721&usg=AOvVaw3i_9pZm9y_dQWoHi6uv0EN

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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.

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Theme

Social tagging

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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.

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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."

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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.

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Abstract

Since 2015, the United Nations Educational, Scientific and Cultural Organization (UNESCO) began the process of inculcating culture as part of the United Nations' (UN) post-2015 Sustainable (former Millennium) Development Goals, which member countries agreed to achieve by 2030. By conducting a thematic analysis of the 25 UN commissioned reports and policy documents, this research identifies 14 broad cultural heritage information themes that need to be practiced in order to achieve cultural sustainability, of which information platforms, information sharing, information broadcast, information quality, information usage training, information access, information collection, and contribution appear to be the significant themes. An investigation of education on cultural heritage informatics and digital humanities at iSchools (www.ischools.org) using a gap analysis framework demonstrates the core information science skills required for cultural heritage education. The research demonstrates that: (i) a thematic analysis of cultural heritage policy documents can be used to explore the key themes for cultural informatics education and research that can lead to sustainable development; and (ii) cultural heritage information education should cover a series of skills that can be categorized in five key areas, viz., information, technology, leadership, application, and people and user skills.

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Abstract

In traditional classification, fictional works are indexed only by their form, genre, and language, while their subject content is believed to be irrelevant. However, recent research suggests that this may not be the best approach. We tested indexing of a small sample of selected fictional works by Integrative Levels Classification (ILC2), a freely faceted system based on phenomena instead of disciplines and considered the structure of the resulting classmarks. Issues in the process of subject analysis, such as selection of relevant vs. non-relevant themes and citation order of relevant ones, are identified and discussed. Some phenomena that are covered in scholarly literature can also be identified as relevant themes in fictional literature and expressed in classmarks. This can allow for hybrid search and retrieval systems covering both fiction and nonfiction, which will result in better leveraging of the knowledge contained in fictional works.

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Abstract

This article provides a conclusion to the special issue on Artificial Intelligence (AI) and Automated Processes for Subject Access. The authors who contributed to this special issue have provoked interesting questions as well as bringing attention to important issues. This concluding article looks at common themes and highlights some of the questions raised.

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Abstract

This special issue on the "Implementation of Faceted Vocabularies: An Introduction" focuses on strategies and methods for implementing faceted vocabularies in MARC and non-MARC environments in library related settings. The following introduction provides a brief description of each article in the issue. The articles are grouped around three themes: Introduction to Faceted Vocabularies, Faceted Application of Subject Terminology (FAST), and Genre Terms and Other Faceted Vocabularies.

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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.

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Abstract

The purpose of this paper is to analyse George Orwell's diaries through an information literacy lens. Orwell is well known for his dedication to freedom of speech and objective truth, and his novel Nineteen Eighty-Four is often used as a lens through which to view the fake news phenomenon. This paper will examine Orwell's diaries in relation to UNESCO's Five Laws of Media and Information Literacy to examine how information literacy concepts can be traced in historical documents. Design/methodology/approach This paper will use a content analysis method to explore Orwell's relationship to information literacy. Two of Orwell's political diaries from the period 1940-42 were coded for key themes related to the ways in which Orwell discusses and evaluates information and news. These themes were then compared to UNESCO Five Laws of Media and Information Literacy. Textual analysis software NVivo 12 was used to perform keyword searches and word frequency queries in the digitised diaries. Findings The findings show that while Orwell's diaries and the Five Laws did not share terminology, they did share ideas on bias and access to information. They also extend the history of information literacy research and practice by illustrating how concerns about the need to evaluate information sources are represented within historical literature. Originality/value This paper combines historical research with textual analysis to bring a unique historical perspective to information literacy, demonstrating that "fake news" is not a recent phenomenon, and that the tools to fight it may also lie in historical research.

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Abstract

The COVID-19 pandemic emptied classrooms across the globe and pushed administrators, students, educators, and parents into an uneasy alliance with online learning systems already committing serious privacy and intellectual property violations, and actively promoted the precarity of educational labor. In this article, we use methods and theories derived from critical informatics to examine Rutgers University's deployment of seven online learning platforms commonly used in higher education to uncover five themes that result from the deployment of corporate learning platforms. We conclude by suggesting ways ahead to meaningfully address the structural power and vulnerabilities extended by higher education's use of these platforms.

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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.

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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.