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Based on the study of overall situation of the tagging function in the provincial public libraries and library of major colleges and universities, this paper aims to examine the difference of tagging behaviour of its users in library and social community sites. The authors also want to understand the causes of a variety of annotation behavior in social community sites and libraries.

The authors collected all system log data of tags, comments and ratings users added in Wuhan University library, and then found the tags, comments and rating of corresponding books in Douban. Then, the authors did questionnaire survey to the Wuhan University students.

The authors found that the annotation service in the library is not perfect as that in social community site. Enthusiasm of users annotating books in the library is far less high than that on the social community sites. Lack of understanding of the annotation service is the main reason why users are not concerned or do not use the tagging service. But users have the needs of the organization of personal information in the library using tags.

This paper investigated the library users’ behavior in the using library OPAC course and compared the difference of annotation behavior between library and social community site.

The purpose of this paper is to explore the potential of enriching the library subject headings with folksonomy for enhancing the visibility and usability of the library subject headings.

The WorldCat-million data set and SocialBM0311 are preprocessing and over 210,000 library catalog records and 124,482 non-repeating tags were adopted to construct the matrix to observe the semantic relation between library subject headings and folksonomy. The proposed system is compared with the state-of-the-art methods and the parameters are fixed to obtain effective performance.

The results demonstrate that by integrating different semantic relations from library subject headings and folksonomy, the system’s performance can be improved compared to the benchmark methods. The evaluation results also show that the folksonomy can enrich library subject headings through the semantic relationship.

The proposed method simultaneous weighted matrix factorization can integrate the semantic relation from the library subject headings and folksonomy into one semantic space. The observation of the semantic relation between library subject headings and social tags from folksonomy can help enriching the library subject headings and improving the visibility of the library subject headings.

The purpose of this paper is to explore the information needs of one user group, public library fiction readers, in order to reveal a design of an online community at the local level. Examination of user‐generated metadata can reveal new approaches to information architecture.

A literature review into behaviors of virtual communities; surveying public library readers regarding search behavior characteristics – the survey included a sample “tagging” exercise to determine whether public library communities could create meaningful metadata for retrieval purposes.

The use of relevance as an indicator of tag quality is flawed: in a survey, public library readers “tagged” the novel The Da Vinci Code. The resulting collection of tags provided a richer description of the book than did the social book‐related web site www.librarything.com. Tag collections can be broken down into different categories, each reflecting a different “facet” of the novel: character, plot, subject/topic, setting, and genre. Faceted structure to tags enables users to choose the context of the tag to the novel.

This research is relevant in the world of social networking sites, online communities, or any other such system where users generate descriptive metadata. Examination of such metadata can reveal facets, which can guide the architect/librarian in the design of a versatile architecture.

This research resulted in a manifold design for a public‐library‐based online community that allowed for the full expression of users' information needs. This research introduces a faceted structure to current approaches for user‐generated metadata, adding versatility to search terms.

In the era of social media, users all over the world annotate books with social tags to express their preferences and interests. The purpose of this paper is to explore different tagging behaviours by analysing the book tags in different languages.

This investigation collected nearly 56,000 tags of 1,200 books from one Chinese and two English online bookmarking systems; it combined content analysis and machine-processing methods to evaluate the similarities and differences between different tagging systems from a cross-lingual perspective. Jaccard’s coefficient was adopted to evaluate the similarity level.

The results show that the similarity between mono-lingual tags of the same books is higher than that of cross-lingual tags in different systems and the similarity between tags of books written for specialties is higher than that of books written for the general public.

Those who have more in common annotate books with more similar tags. The similarity between users in tagging systems determines the similarity of the tag sets.

The results and conclusion of this study will benefit users’ cross-lingual information retrieval and cross-lingual book recommendation for online bookmarking systems.

This study may be one of the first to compare cross-lingual tags. Its methodology can be applied to tag comparison between any two languages. The insights of this study will help develop cross-lingual tagging systems and improve information retrieval.

Most studies pertaining to social tagging focus on one platform or platform type, thus limiting the scope of their findings. The purpose of this paper is to explore social tagging practices across four platforms in relation to cultural products associated with the book Casino Royale, by Ian Fleming.

A layered and nested case study approach was used to analyse data from four online platforms: Goodreads, Last.fm, WordPress, and public library social discovery platforms. The top-level case study focuses on the book Casino Royale, by Ian Fleming and its derivative products. The analysis of tagging practices in each of the four online platforms is nested within the top-level case study. Casino Royale was conceptualized as a cultural product (the book), its derived products (e.g. movies, theme songs), as well as a keyword in blogs. A qualitative, inductive, and context-specific approach was chosen to identify commonalities in tagging practices across platforms whilst taking into account the uniqueness of each platform.

The four platforms comprise different communities of users, each platform with its own cultural norms and tagging practices. Traditional access points in the library catalogues focused on the subject, location, and fictitious characters of the book. User-generated content across the four platforms emphasized historical events and periods related to the book, and highlighted more subjective access points, such as recommendations, tone, mood, reaction, and reading experience. Revealing shifts occur in the tags between the original book and its cultural derivatives: Goodreads and library catalogues focus almost exclusively on the book, while Last.fm and WordPress make in addition cross-references to a wider range of different cultural products, including books, movies, and music. The analyses also yield apparent similarities in certain platforms, such as recurring terms, phrasing and composite or multifaceted tags, as well as a strong presence of genre-related terms for the book and music.

The layered and nested case study approach presents a more comprehensive theoretical viewpoint and methodological framework by which to explore the study of user-generated metadata pertaining to a range of related cultural products across a variety of online platforms.

The paper aims to explore the reading behavior among LibraryThing users through the linked book-recommendations of 15 popular books.

The research was approached by using the normality test as an index regarding the current reading situation that expresses the intensity of reading preferences upon specific or various topics. The selected variable was the number of book members that is automatically referred by LT statistics. First, 15 popular book titles were included in the research. Second, the combined book recommendations associated with the books under study and appearing in LibraryThing were selected, and their members' data was analyzed.

In order to evaluate the normality, data were plotted and they showed that the combined recommended books do not follow the curve of normal distribution. The lack of normality shape in all the books studied indicates that 25 percent of reading preferences are based on books with a specific theme, and are closely related to the book under study, while 75 percent are related to various subjects.

Approaches to reading preferences of LT users are partially unexplored, and this research examines one of its aspects.

The purpose of this paper is to investigate the behaviour preferences and patterns of the organisation of information by taggers, including usage of tags, tag categories and implicit patterns embedded in social tags.

The sample was 4,390 social tags (1,777 unique) from 1,661 articles published in 16 library and information science journals selected from CiteULike between February and March 2011. Using application profiles, a tag category model served as a framework to develop two sets of hybrid tag categories for analysing the distribution of tag categories and their implicit patterns.

The frequency of tag categories was consistent with that of individual tags and obeyed a power law distribution. In total, six implicit patterns embedded in tags – syntactical, semantic, mnemonic, genre, contextual hybrid relations and split term – were discovered.

Although this study focused solely on investigating taggers' behaviour preferences and patterns, the results of this study may shed light on tagging practice, query formulation and construction of controlled vocabularies.

A set of hybrid tag categories consisting of title, function, content and topic‐related categories is proposed to delineate the distribution of social tags and taggers' behaviour preferences, and implicit patterns embedded in tags are generalised. These patterns may be useful for tagging practice, query formulation and construction of controlled vocabularies.

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).

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.

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.

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.

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.

Social library systems are Web 2.0 sites where users discover interesting books, movies, and music, etc., collect these resources to their personal libraries, and share their collections with others. The purpose of this study is to identify the information seeking modes adopted by users in this context as well as to reveal the characteristics of the users who are dominated by each mode.

An online survey was conducted to capture the background and behavior data of regular users from Douban, the most influential Chinese‐language social library system. The “friend‐of‐a‐friend” recruitment technique resulted in a total of 129 responses, 112 of which were valid and analyzed to generate both descriptive and inferential statistics.

Searching, browsing, encountering, and monitoring are the four major information seeking modes adopted by social library system users. The majority of the users tend to combine two or more modes, but each user has a dominating one that helps define him/her as a searcher, browser, encounterer, or monitor. While searching is the most widely adopted mode, browsers are the most prevalent type of information seekers. Different information seekers do not demonstrate significantly different characteristics by and large, however with some exceptions.

This study is one of the first to investigate how users look for resources in social library systems, a problem neglected by previous studies mostly focusing on how users organize and tag resources. The research findings enrich our understanding of social library systems as diverse and dynamic information seeking environments. This in turn will provide useful implications for their interface design to more effectively address the needs and expectations of special types of information seekers.

This paper addresses the role of corporate social responsibility (CSR) performance as a potential mechanism for reducing firms' likelihood of engaging in tax aggressiveness (TAG). The paper also contributes to the existing literature by addressing the moderating effect of national cultures on the link between CSR performance and corporate TAG.

The focus is placed on an unbalanced panel of 2,696 companies distributed in 30 countries and seven economic sectors over the period of 2002–2014.

The results provide support for those companies achieving high corporate social performance (CSP), corporate environmental performance (CEP) and corporate governance performance (CGP) being less likely to engage in aggressive tax practices. Finally, the results identify some national cultural dimensions moderating the link between disaggregated measures of CSR performance and firms' TAG.

The difficulty of accessing CSR and TAG data for non-listed companies could bias the data set towards a compliant company profile because of the higher visibility. In addition, the use of effective tax rates to examine firms' TAG should be interpreted with some caution.

The paper's findings provide unique and useful information for company stakeholders and managers aiming to address the factors that enhance firms' incentives to engage in aggressive tax practices.

This paper addresses the multidimensional nature of CSR performance by analysing the links between CSP, CEP and CGP and corporations' TAG. Furthermore, the research addresses the way in which national culture moderates the links between disaggregated measures of CSR performance and corporate TAG.