Relationships among category semantics, perceptions of term utility, and term length and order in a social content creation system.
ABSTRACT While there are increased efforts to extend existing controlled vocabularies through harvesting socially created image metadata from content creation communities (e.g., Flickr), questions remain about the quality and reuse value of this metadata. Data from a controlled experiment was used to examine relationships among categories of image tags, tag assignment order, and users' perception of usefulness of preassigned image index terms. Preliminary findings indicate that, on average, "Group" category terms were assigned first, and were also rated highest in usefulness. Other broad tag categories that were assigned earlier and rated more useful were Human Attributes and People, but others were more variable. However, the study found no correlation between tag length and assignment order, or term length and its perceived usefulness. The study's findings can inform the design of controlled vocabularies, indexing processes, and retrieval systems for images.
Full-textDOI: · Available from: Besiki Stvilia, Feb 21, 2014
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ABSTRACT: With the recent interest in socially created metadata as a potentially complementary resource for image description in relation to established tools such as thesauri and other forms of controlled vocabulary, questions remain about the quality and reuse value of these metadata. This study describes and examines a set of tags using quantitative and qualitative methods and assesses relationships among categories of image tags, tag assignment order, and users' perceptions of usefulness of index terms and user-contributed tags. The study found that tags provide much descriptive information about an image but that users also value and trust controlled vocabulary terms. The study found no correlation between tag length and assignment order, and tag length and its perceived usefulness. The findings of this study can contribute to the design of controlled vocabularies, indexing processes, and retrieval systems for images. In particular, the findings of the study can advance the understanding of image tagging practices, tag facet/category distributions, relative usefulness and importance of these categories to the user, and potential mechanisms for identifying useful terms.Journal of the American Society for Information Science and Technology 04/2014; 65(4). DOI:10.1002/asi.23029 · 2.23 Impact Factor