Qualitative journal evaluation cumulates content descriptions of single articles. Articles are either represented by author-generated keywords, professionally indexed subject headings, automatically extracted terms or, as recently introduced, by reader-generated tags as used in social bookmarking systems. The study presented here shows that different types of keywords each reflect a different perspective on documents and that tags can be used in journal evaluation to represent a reader-specific view. After providing a broad theoretical background and literature review, methods for extensive automatic term cleaning and calculation of term overlaps are introduced. The efficiency of tags and other metadata for journal content description is illustrated for one particular journal.
These findings confirm our basic assumption that journal and article evaluation can profit from the application of user-generated tags for content analysis, as they add a third layer of perception besides the author and indexer perspectives. Due to the dynamic nature of social bookmarking and tagging, these descriptions evolve in real time.
They offer direct channels for the readers' opinions and depict trends in the language of a specific discipline. However, it is still unclear how tag suggestions in tagging systems affect users' choice of new tags during indexing. Such system-specific properties may lead to distorted article and journal descriptions which must be taken into account before applying tag-based journal content evaluation.
URL de trackback de esta historia http://fernand0.blogalia.com//trackbacks/73387