This article examines the linguistic structure of folksonomy tags collected over a thirty-day period from the daily tag logs of Del.icio.us, Furl, and Technorati

No abstract

No abstract

No abstract

This article examines the contribution of social discovery platforms and user-generated content (UGC) on readers' advisory (RA) services in Canadian public libraries. Grounded Theory was used to conduct a content analysis of library-assigned subject headings and UGC of 22 adult fiction titles in 43 Canadian public libraries that use BiblioCommons, SirsiDynix, and Encore social discovery platforms. Findings indicate that UGC complements the MARC bibliographic record as it provides insight into the subject of a work, itsprotagonists, and the effect the book has on readers. User-generated reviews provide a rich data set that clearly connects to known RA access points.

The era of the COVID-19 pandemic has resulted in a variety of individual lifestyle and behavioural changes, and could, therefore, potentially involve a shift towards more sustainable food systems. This research was conducted through an online survey of cross-sectional design. We surveyed 8272 Canadians in August of 2020. Participants answered questions about socio-demographic food waste amounts in kilograms, and food-waste-management behaviours. In this exploratory study, we assessed the relationships between socio-demographic variables, and self-reported food-waste behaviours through two-tailed significance testing. Results indicated that Canadian households self-reported an insignificant decrease in food waste during the pandemic. Respondents reported allowing food to expire, not utilizing leftovers, and not finishing meals. Understanding food-waste behaviour changes is key to designing effective mitigation strategies to reduce household food waste and to minimize the environmental consequences with which food waste is associated.

Purpose The purpose of this paper is to provide an examination of emotional experiences, particularly how they are situated in the readers’ advisory (RA) literature and the literatures from a variety of outside disciplines in order to create taxonomies of affect from this context. Design/methodology/approach The approach of this study is twofold. First, this work reviews the literature on affect in Library and Information Science (LIS) and ancillary disciplines in order to understand the definition of affect. Second, using extant taxonomies and resources noted from the literature review, taxonomies are created for three aspects of affect: emotions, tones, and associations. Findings This paper contextualises and defines affect for the LIS discipline. Further, a result of the work is the creation of three taxonomies through an RA lens by which affective experiences can be classified. The resulting three taxonomies focus on emotion, tone, and associations. Practical implications The taxonomies of emotion, tone, and associations can be applied to the practical work of bibliographic description, helping to expand access and organisation through an affective lens. These taxonomies of affect could be used by readers’ advisors to help readers describe their desired reading experiences. As the taxonomies have been constructed from an RA perspective, and can be applied to the RA literature, they could expand the understanding of RA theory, especially that of appeal. Originality/value This study furthers the exploration of affect in LIS and provides tangible taxonomies of affect for the LIS discipline in an RA context, which have not been previously produced.

An increasingly difficult challenge in social tagging applications is negotiating the number of existing tags. This article examines the use of facets to facilitate the efficient organization and browsing of tags into manageable and distinct categories. Current and proposed methodologies for the application of facets in social tagging applications are evaluated. Results of this analysis indicate that these methodologies provide insufficient guidelines for the choice, evaluation, and maintenance of the facets. Suggestions are made to guide the design of a more rigorous methodology for the application of facets to social tagging applications.