Diese Datenbank enthält über 40.000 Dokumente zu Themen aus den Bereichen Formalerschließung – Inhaltserschließung – Information Retrieval.
© 2015 W. Gödert, TH Köln, Institut für Informationswissenschaft / Powered by litecat, BIS Oldenburg (Stand: 21. Januar 2019)
1Oh, S. ; Syn, S.Y.: Motivations for sharing information and social support in social media : a comparative analysis of Facebook, Twitter, Delicious, YouTube, and Flickr.
In: Journal of the Association for Information Science and Technology. 66(2015) no.10, S.2045-2060.
Abstract: The success or failure of social media is highly dependent on the active participation of its users. In order to examine the influential factors that inspire dynamic and eager participation, this study investigates what motivates social media users to share their personal experiences, information, and social support with anonymous others. A variety of information-sharing activities in social media, including creating postings, photos, and videos in 5 different types of social media: Facebook, Twitter, Delicious, YouTube, and Flickr, were observed. Ten factors: enjoyment, self-efficacy, learning, personal gain, altruism, empathy, social engagement, community interest, reciprocity, and reputation, were tested to identify the motivations of social media users based on reviews of major motivation theories and models. Findings from this study indicate that all of the 10 motivations are influential in encouraging users' information sharing to some degree and strongly correlate with one another. At the same time, motivations differ across the 5 types of social media, given that they deliver different information content and serve different purposes. Understanding such differences in motivations could benefit social media developers and those organizations or institutes that would like to use social media to facilitate communication among their community members; appropriate types of social media could be chosen that would fit their own purposes and they could develop strategies that would encourage their members to contribute to their communities through social media.
Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23320/abstract.
Themenfeld: Informationsdienstleistungen ; Internet
Objekt: Facebook ; Twitter ; Delicious ; YouTube ; Flickr
2Lin, N. ; Li, D. ; Ding, Y. ; He, B. ; Qin, Z. ; Tang, J. ; Li, J. ; Dong, T.: ¬The dynamic features of Delicious, Flickr, and YouTube.
In: Journal of the American Society for Information Science and Technology. 63(2012) no.1, S.139-162.
Abstract: This article investigates the dynamic features of social tagging vocabularies in Delicious, Flickr, and YouTube from 2003 to 2008. Three algorithms are designed to study the macro- and micro-tag growth as well as the dynamics of taggers' activities, respectively. Moreover, we propose a Tagger Tag Resource Latent Dirichlet Allocation (TTR-LDA) model to explore the evolution of topics emerging from those social vocabularies. Our results show that (a) at the macro level, tag growth in all the three tagging systems obeys power law distribution with exponents lower than 1; at the micro level, the tag growth of popular resources in all three tagging systems follows a similar power law distribution; (b) the exponents of tag growth vary in different evolving stages of resources; (c) the growth of number of taggers associated with different popular resources presents a feature of convergence over time; (d) the active level of taggers has a positive correlation with the macro-tag growth of different tagging systems; and (e) some topics evolve into several subtopics over time while others experience relatively stable stages in which their contents do not change much, and certain groups of taggers continue their interests in them.
Themenfeld: Social tagging
Objekt: Delicious ; Flickr ; YouTube
3Peters, I. ; Schumann, L. ; Terliesner, J.: Folksonomy-basiertes Information Retrieval unter der Lupe.
In: Information - Wissenschaft und Praxis. 63(2012) H.4, S.273-280.
Abstract: Social Tagging ist eine weitverbreitete Methode, um nutzergenerierte Inhalte in Webdiensten zu indexieren. Dieser Artikel fasst die aktuelle Forschung zu Folksonomies und Effektivität von Tags in Retrievalsystemen zusammen. Es wurde ein TREC-ähnlicher Retrievaltest mit Tags und Ressourcen aus dem Social Bookmarking-Dienst delicious durchgeführt, welcher in Recall- und Precisionwerten für ausschließlich Tag-basierte Suchen resultierte. Außerdem wurden Tags in verschiedenen Stufen bereinigt und auf ihre Retrieval-Effektivität getestet. Testergebnisse zeigen, dass Retrieval in Folksonomies am besten mit kurzen Anfragen funktioniert. Hierbei sind die Recallwerte hoch, die Precisionwerte jedoch eher niedrig. Die Suchfunktion "power tags only" liefert verbesserte Precisionwerte.
Inhalt: Vgl.: http://www.degruyter.com/view/j/iwp.2012.63.issue-4/iwp-2012-0047/iwp-2012-0047.xml?format=INT.
Themenfeld: Social tagging ; Folksonomies
4Yi, K.: Harnessing collective intelligence in social tagging using Delicious.
In: Journal of the American Society for Information Science and Technology. 63(2012) no.12, S.2488-2502.
Abstract: A new collaborative approach in information organization and sharing has recently arisen, known as collaborative tagging or social indexing. A key element of collaborative tagging is the concept of collective intelligence (CI), which is a shared intelligence among all participants. This research investigates the phenomenon of social tagging in the context of CI with the aim to serve as a stepping-stone towards the mining of truly valuable social tags for web resources. This study focuses on assessing and evaluating the degree of CI embedded in social tagging over time in terms of two-parameter values, number of participants, and top frequency ranking window. Five different metrics were adopted and utilized for assessing the similarity between ranking lists: overlapList, overlapRank, Footrule, Fagin's measure, and the Inverse Rank measure. The result of this study demonstrates that a substantial degree of CI is most likely to be achieved when somewhere between the first 200 and 400 people have participated in tagging, and that a target degree of CI can be projected by controlling the two factors along with the selection of a similarity metric. The study also tests some experimental conditions for detecting social tags with high CI degree. The results of this study can be applicable to the study of filtering social tags based on CI; filtered social tags may be utilized for the metadata creation of tagged resources and possibly for the retrieval of tagged resources.
Themenfeld: Social tagging
5Feinberg, M.: Expressive bibliography : personal collections in public space.
In: Knowledge organization. 38(2011) no.2, S.123-134.
Abstract: This paper examines collections of citations that individual users contribute to social tagging systems such as Delicious and LibraryThing. I characterize these personal collections, furnished with various forms of metadata and arranged for Web display, as a means of communication, where a particular sensibility molds guiding principles for resource selection, description, and categorization. Using several analytic frameworks from museum studies, I present three brief case studies that interrogate both the substance and the means of expression achieved in such collections, which I term "expressive bibliographies." In considering these case studies, I explore how an explicit rhetorical perspective might inform purposeful design of expressive bibliography.
Inhalt: Vgl.: http://www.ergon-verlag.de/isko_ko/downloads/ko_38_2011_2_d.pdf.
Themenfeld: Social tagging
Objekt: Delicious ; LibraryThing
6Sauperl, A.: UDC and Folksonomies.
In: Knowledge organization. 37(2010) no.4, S.307-317.
Abstract: Social tagging systems, known as "folksonomies," represent an important part of web resource discovery as they enable free and unrestricted browsing through information space. Folksonomies consisting of subject designators (tags) assigned by users, however, have one important drawback: they do not express semantic relationships, either hierarchical or associative, between tags. As a consequence, the use of tags to browse information resources requires moving from one resource to another, based on coincidence and not on the pre-established meaningful or logical connections that may exist between related resources. We suggest that the semantic structure of the Universal Decimal Classification (UDC) may be used in complementing and supporting tag-based browsing. In this work, two specific questions were investigated: 1) Are terms used as tags in folksonomies included in the UDC?; and, 2) Which facets of UDC match the characteristics of documents or information objects that are tagged in folksonomies? A collection of the most popular tags from Amazon, LibraryThing, Delicious, and 43Things was investigated. The universal nature of UDC was examined through the universality of topics and facets covering diverse human interests which are at the same time interconnected and form a rich and intricate semantic structure. The results suggest that UDC-supported folksonomies could be implemented in resource discovery, in particular in library portals and catalogues.
Inhalt: Teil von: Papers from Classification at a Crossroads: Multiple Directions to Usability: International UDC Seminar 2009-Part 2
Anmerkung: Vgl. unter: http://www.ergon-verlag.de/isko_ko/downloads/ko37_2010_4_g.pdf.
Objekt: UDC ; 43Things ; Delicious ; LibraryThing ; Amazon