Search results

Successful information retrieval is determined by library patrons retrieving accurate, relevant, and up-to-date information stored in documents; this affects their self-efficacy, emotions, and behavior. The purpose of this paper is to examine the impact of mastery experiences, self-evaluation, vicarious observation of others’ experiences, social feedback, and physiological state of library patrons’ emotions after information retrieval.

A structured close-ended questionnaire survey was utilized of which 200 responses were valid and usable for data analysis. Multiple regression analysis was executed to assess the influence of personal self-evaluation, comparisons with others, physiological state, and social feedback, on the library patrons’ emotions after information retrieval.

The findings of this study indicated that social feedback had the greatest influence on the library patrons’ emotions after information retrieval, followed by personal self-evaluation and physiological state.

This study employed quantitative research design utilizing multiple regression analysis which provides useful insight for university librarians on the specific factors that have significant effects on library patrons’ emotions after information retrieval. The outcomes add a new perspective to preceding studies on library patrons’ emotions after information retrieval, which has previously been inadequately researched in the Malaysian setting.

This paper aims to find out how people use hashtags as a medium of information retrieval and dissemination, and how they are used in social media tools, such as Instagram.

A quantitative question estimated the participants’ use of the hashtags during the workshop. Statistical data of the participants and their posts were collected from social network analysis tools. The posts that included the workshop’s designated hashtags were retrieved, recorded, coded and analysed to collect qualitative data.

In total, 74 (46 per cent) participants used the workshop’s hashtags to share posts, the retrieval of the hashtags declined by time and Google search engine retrieved the maximum results. It was found that a hashtag would be common when associated with descriptors, and that its use depends on its popularity, followers and its survival time. Finally, hashtags connect people, allow them to express their enthusiasm to reveal common interests and networks them through social media tools such as Instagram.

The research limitations were in relation to the participants’ demographic information, the non-identification of their gender and hashtags being misspelt.

The research project summarises the experiences that social media has made connecting easier through the right use of hashtags by providing 24/7 free feedback, the possibility to exchange ideas and by their involvement in promoting and organising events. It also indicates interaction among people sharing the same interest by retrieving subject-based hashtags.

When retrieving information related to hashtags, it is recommended that multi-retrieval systems, social media tools and search engines should be consulted and not depend on a solo system or tool. Future research is recommended in search for a multi-retrieval social media and search engine tool that standardises the use of hashtags and will retrieve information from different platforms.

The primary objectives of this research paper are to explore the concept of social search, evaluate the performance of Facebook as a social search engine, and to understand the relationship between social networking sites (SNS) and social search. The author's intention is to examine the possibility that Facebook presents as the future of on‐line search and the implications for libraries.

This study reviews the literature on SNSs, Facebook studies, and the concept of social search. It then explores Facebook as a social search engine through participant observation, personal experience and experiment. The experiment is based on two identified search queries. Both queries are performed, wherein the results retrieved are displayed using tables and evaluated.

Facebook as a people search engine, yields irrelevant results in response to search queries for unknown persons or groups. Facebook may also fail to provide timely and relevant results when attempting to get information from persons with whom the user has a weak relationship. Findings also indicate the limitations of users functioning as quasi‐librarians as it relates to the quality of information retrieval.

The findings are relevant for library and information science academics and professional practitioners.

The author provides an approach for evaluating the quality of information retrieval in social search using the traditional information retrieval evaluation methods of library and information scientists. He also revisits old arguments on the importance of the profession to web information in light of new trends and data.

Social question and answer (social Q&A) sites have become a popular tool for obtaining music information. The purpose of this paper is to investigate what users ask about, what experience the questions convey, and how users specify their questions.

A total of 3,897 music questions from the social Q&A site Yahoo! Answers were categorized according to their question type, user experience, and question specification.

The music questions were diverse with (dis)approval (42 percent), factual (21 percent), and advice (15 percent) questions as the most frequent types. Advice questions were the longest and roughly twice as long as (dis)approval and factual questions. The user experience associated with the questions was most often pragmatic (24 percent) or senso-emotional (12 percent). Pragmatic questions were typically about the user’s own performance of music, while senso-emotional questions were about finding music for listening. Notably, half of the questions did not convey information about the user experience but the absence of such information did not reduce the number of answers. In specifying the questions, the most frequent information was about the music context and the user context.

This study suggests a division of labor between social Q&A sites and search engines for music information retrieval. It should be noted that the study is restricted to one social Q&A site.

Social Q&A sites provide an opportunity for studying what information real users seek about music and what information they specify to retrieve it, thereby elucidating the role of social Q&A in music information seeking.

This paper introduces some of the considerations behind the teaching of research methodology at the Royal School of Library and Information Science at the masters level. The module in research methodology is illustrated in relation to information retrieval experiments. Theoretical and practical problems with experimental settings are analysed in relation to the different approaches of information retrieval research. Sampling problems are extremely relevant both for teaching research methodology and for planning investigations in information retrieval. The concept of a model is introduced and also the elements of the topics of the statistical part of the module in relation to typical research questions in information retrieval.

The purpose of this paper is to investigate users' knowledge and use of social networking sites and folksonomies to discover if social tagging and folksonomies, within the area of independent music, aid in its information retrieval and discovery. The sites examined in this project are MySpace, Lastfm, Pandora and Allmusic. In addition, the ways in which independent record labels utilise social networking sites for promotion are investigated.

Three groups of participants were surveyed using questionnaires. These groups were music concert attendees, people who responded to online postings to social networking sites, and independent record companies. In addition interviews were held with digital music experts.

The results suggest that respondents use social networking sites for music discovery but are not generally aware of folksonomic approaches to music discovery. When users do use and contribute to the folksonomy, most respondents were found to tag for personal retrieval purposes rather than attempting to aid the retrieval purposes of the population of site users as a whole. The four record labels unanimously agreed that social networking sites are having a major impact on independent music discovery. Digital distribution has a major impact on independent record labels. It facilitates discovery but at the same time digital distribution creates new promotional dilemmas.

The project is small scale but the research area is a relatively novel one, and the results are interesting enough to share more generally in the hope that this project will stimulate further research activity in this area.

The purpose of this study was a longitudinal study on knowledge organization (KO) realm structure and cluster concepts and emerging KO events based on co-occurrence analysis.

This longitudinal study uses the co-occurrence analysis. This research population includes keywords of articles indexed in the Web of Science Core Collection 1975–1999 and 2000–2018. Hierarchical clustering, multidimensional scaling and co-occurrence analysis were used to conduct the present research. SPSS, UCINET, VOSviewer and NetDraw were used to analyze and visualize data.

The “Information Technology” in 1975–1999 and the “Information Literacy” in 2000–2018, with the highest frequency, were identified as the most widely used keywords of KO in the world. In the first period, the cluster “Knowledge Management” had the highest centrality, the cluster “Strategic Planning” had the highest density in 2000–2018 and the cluster “Information Retrieval” had the highest centrality and density. The two-dimensional map of KO’s thematic and clustering of KO topics by cluster analysis method indicates that in the periods examined in this study, thematic clusters had much overlap in terms of concept and content.

The present article uses a longitudinal study to examine the KO’s publications in the past half-century. This paper also uses hierarchical clustering and multidimensional scaling methods. Studying the concepts and thematic trends in KO can impact organizing information as the core of libraries, museums and archives. Also, it can scheme information organizing and promote knowledge management. Because the results obtained from this article can help KO policymakers determine and design the roadmap, research planning, and micro and macro budgeting processes.

Purpose — This chapter illustrates and explains the ambiguity and vagueness of the term social search and aims at describing and classifying the heterogeneous landscape of social search implementations on the WWW.

Methodology/approach — We have looked at different definitions as well as the context of social search by carrying out an extensive literature review, and tried to unify and enhance existing ideas and concepts. Our definition of social search is illustrated by a general review of existing social search engines, which are analyzed and described by their specific features and social aspects.

Findings — The chapter presents a discussion of social search as well as a comparison of existing social search engines.

Social implications — The definition of social search and the comparison of social search engines summarize the many ways people can search the web together and allow for an assessment of future developments in this area.

Originality/value of paper — Although different attempts to define social search have been made in the past, we present an argumentation that unifies some existing definitions and which is different from other interpretations of the social search concept. We present an overview and a comparison of the different genres of social search engines.

This study aims to examine the relationship between personality traits and digital literacy skills among university librarians of Punjab, Pakistan.

Five research hypotheses were established to achieve the study objectives. Two instruments; namely, “big five inventory (BFI)” scale of personality traits and a structured questionnaire of digital literacy skills (library literacy, computer literacy, tool literacy, information retrieval literacy and research support literacy) were used to collect the data. Pearson correlation test and correlation research design were used to examine the relationship between digital literacy skills and personality traits of university librarians.

The findings of the study revealed significant relationships between personality traits and all digital literacy skills. The study concluded that librarians having the extraversion trait are more inclined toward digital literacy skills and they can perform well in the libraries as compared to professionals with other traits.

This study measures the digital literacy skills among the librarians of “higher education commission” recognized universities of Punjab, Pakistan. The study conclusions and findings are limited in scope to only the librarians of these universities. Such topic has no previous research.

This study has practical implication for university libraries, library associations, librarians and library professionals. The results of the study are also useful for librarians to acquire digital literacy skills, which are necessary in the current digital environment to manage the libraries.

Library professionals can get digital literacy skills to face the challenges of digital age.

Some researchers examined the relationship of personality traits with the social networking sites, internet addiction, knowledge sharing behavior, information seeking behavior and academic performance. This study in particular identified the relationship of personality traits with the digital literacy skills, which are essential for managing the libraries. It helps libraries to find suitable library professionals and also help managers in assigning the duties based on these personality traits and digital literacy skills.

This paper aims to discuss and test the claim that utilization of the personalization techniques can be valuable to improve the efficiency of collaborative information retrieval (CIR) systems.

A new personalized CIR system, called PERCIRS, is presented based on the user profile similarity calculation (UPSC) formulas. To this aim, the paper proposes several UPSC formulas as well as two techniques to evaluate them. As the proposed CIR system is personalized, it could not be evaluated by Cranfield, like evaluation techniques (e.g. TREC). Hence, this paper proposes a new user‐centric mechanism, which enables PERCIRS to be evaluated. This mechanism is generic and can be used to evaluate any other personalized IR system.

The results show that among the proposed UPSC formulas in this paper, the (query‐document)‐graph based formula is the most effective. After integrating this formula into PERCIRS and comparing it with nine other IR systems, it is concluded that the results of the system are better than the other IR systems. In addition, the paper shows that the complexity of the system is less that the complexity of the other CIR systems.

This system asks the users to explicitly rank the returned documents, while explicit ranking is still not widespread enough. However it believes that the users should actively participate in the IR process in order to aptly satisfy their needs to information.

The value of this paper lies in combining collaborative and personalized IR, as well as introducing a mechanism which enables the personalized IR system to be evaluated. The proposed evaluation mechanism is very valuable for developers of personalized IR systems. The paper also introduces some significant user profile similarity calculation formulas, and two techniques to evaluate them. These formulas can also be used to find the user's community in the social networks.