Chern Li Liew

Bio: Chern Li Liew is an academic researcher from Victoria University of Wellington. The author has contributed to research in topics: Cultural heritage & Metadata. The author has an hindex of 15, co-authored 56 publications receiving 705 citations. Previous affiliations of Chern Li Liew include Emerald Group Publishing & Nanyang Technological University.

A study of graduate student end‐users’ use and perception of electronic journals

Abstract: The growth and diversity of electronic journals (e‐journals) in the past five years has led many to predict the extinction of print journals and that a new paradigm is sweeping scholarship. Some others, however, believe that future electronic scholarly journals will be different from their print antecedents and fill a different niche, and will be necessary for the growth of knowledge. This paper considers the future of e‐journals in the light of the use and perception of graduate student end‐users, and their expectations of future e‐journals. Some results from a recent user study presenting significant implications for the design of future e‐journals are reported. The results show a significantly high acceptance of e‐journals by this category of users. Generally, e‐journals are expected to be different from print journals, with novel forms of functionality not possible in their print counterparts.

Selecting fiction as part of everyday life information seeking

Abstract: – This study seeks to examine, from the viewpoint of 12 adult fiction readers who are members of book clubs, how they go about selecting fiction books to borrow from the public library., – Each participant took part in an individual, semi‐structured, face‐to‐face interview. Using Williamson's Ecological Model of Information Seeking and Use as the conceptual framework, the study examined the role that fiction readers' “internal environments” and “external contexts” played in their book choices., – The selection of fiction books at the public library occurred, to a large extent, outside it. Fiction books were selected as part of everyday life information seeking, influenced by study participants' personal characteristics and circumstances as well as sources from their everyday lives, which typically included family, friends, book club and the mass media. While the public library was the main means by which study participants obtained their fiction books, it was not the first source to which they turned for ideas on what to read., – The study moves from a preoccupation of readers' actions at the public library to examine, more holistically, how everyday life information sources influence their choices of fiction books at the public library. It highlights the purposive and serendipitous dimensions of book selections and also underscores the importance of recognizing trust as a determining factor in book selection.

Digital library research 1997‐2007: Organisational and people issues

Abstract: Purpose – This review aims to provide a snapshot of digital library research of the past 11 years (1997‐2007) that focuses on organisational and people issues, including those concerning the social/cultural, legal, ethical, and use dimensions.Design/methodology/approach – The review covers articles published in mainstream peer‐reviewed library and information science/studies journals. The analysis was done by drawing on a sample of 577 articles published in both academic and professional LIS journals.Findings – The analysis reveals that there are several topics that are dominant in the sample. There are significant research streams into one or more aspects of digital library use and usability, organisational and economical issues, as well as legal issues. In comparison, there is very little research in the sample that addresses ethical issues and social/cultural issues. D‐Lib Magazine tops the list as the journal with the highest number of articles published and in spite of some fluctuations, there was an...

Hunting Suicide Notes in Web 2.0 - Preliminary Findings

Abstract: Blogs provide an outlet for youth to explore and share their emotions with the world. By exploring the possibilities of mining the vast repositories of social networking sites, we hope to be able to identify bloggers who are at risk of suicide so that appropriate intervention can take place. This paper will explore the techniques used by other researchers in the process of identifying emotional content in unstructured data, and will make use of existing technologies to attempt to identify at-risk bloggers. Using a selection of real blog entries harvested from MySpace.com, supplemented with artificial entries from our research, we test the accuracy of a simple algorithm for scoring the presence of certain key words and phrases in blog entries. Despite the simplistic approach taken, the preliminary results of this study were very promising.

Online cultural heritage exhibitions: a survey of information retrieval features

Abstract: Purpose – What kinds of online cultural heritage exhibitions are now available on the internet? How far have these cultural heritage institutions voyaged in terms of harnessing the power of information and communication technology and the interactivity of multimedia systems to exhibit cultural heritage resources? This study aims to highlight the major initiatives and developments across libraries, archives and museums, and to provide an overview of the characteristics and features of current major initiatives – specifically of the objectives and purposes of the exhibitions, their contents, the available information retrieval (search and browse facilities) and interactive features. Design/methodology/approach – Reports the findings of a personal investigation of 15 online exhibitions, conducted between February and June 2004. Findings – A number of key characteristics of the information retrieval features of the surveyed online exhibition sites are identified. Research limitations/implications – This is by...

Multimedia in Learning

Abstract: A wide variety of media can be used in learning, including distance learning, such as print, lectures, conference sections, tutors, pictures, video, sound, and computers. Any one instance of distance learning will make choices among these media, perhaps using several.

Sentiment in short strength detection informal text

Abstract: A huge number of informal messages are posted every day in social network sites, blogs, and discussion forums. Emotions seem to be frequently important in these texts for expressing friendship, showing social support or as part of online arguments. Algorithms to identify sentiment and sentiment strength are needed to help understand the role of emotion in this informal communication and also to identify inappropriate or anomalous affective utterances, potentially associated with threatening behavior to the self or others. Nevertheless, existing sentiment detection algorithms tend to be commercially oriented, designed to identify opinions about products rather than user behaviors. This article partly fills this gap with a new algorithm, SentiStrength, to extract sentiment strength from informal English text, using new methods to exploit the de facto grammars and spelling styles of cyberspace. Applied to MySpace comments and with a lookup table of term sentiment strengths optimized by machine learning, SentiStrength is able to predict positive emotion with 60.6p accuracy and negative emotion with 72.8p accuracy, both based upon strength scales of 1–5. The former, but not the latter, is better than baseline and a wide range of general machine learning approaches. © 2010 Wiley Periodicals, Inc.

Looking for Information: A Survey of Research on Information Seeking, Needs and Behavior

Abstract: Abbreviated Contents Figures and Tables Preface Introduction and Examples Concepts Relevant to Information Behavior Models, Paradigms, and Theories in the Study of Information Behavior Methods for Studying Information Behavior Research Results and Reflections Appendix: Glossary Appendix: Questions for Discussion and Application References Index

Acceptance and adoption of the innovative use of smartphone

Abstract: Purpose – The purpose of this study is to investigate human motivations affecting an adoption decision for smartphone among medical doctors and nurses.Design/methodology/approach – This study investigates smartphone users' perception based on users' perceived adoption under the self‐efficacy, technology acceptance model (TAM) and innovation attributes leading to an adoption attitude under innovation diffusion theory by providing research constructs for the domain of medical doctors and nurses, testing them with reliability and validity, and demonstrating their distinctiveness with hypothesis testing.Findings – The results indicate that behavioral intention to use was largely influenced by perceived usefulness (PU) and attitude toward using smartphone. PU and perceived ease of use positively determine attitude toward using smartphone.Research limitations/implications – For researchers, this study shows the possible and valuable adaptation of TAM constructs into the smartphone acceptance of doctors and nurs...