Search (7 results, page 1 of 1)

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Abstract

Purpose - This is part II of on-going research, the purpose being to establish a creative information-seeking model. Design/methodology/approach - Two studies were conducted to examine the subjects' creative information seeking behaviours and the extent to which they exhibited the proposed stages in creative information seeking when accomplishing a directed and an open-ended information-seeking task respectively. Findings - Findings seemed to indicate that all the subjects underwent the proposed stages although they seemed to embrace characteristics of these stages in varying degrees. Findings also showed that if subjects performed the proposed stages more iteratively or non-sequentially, then a greater amount of creativity was needed to accomplish the information-seeking task. Originality/value - The paper offers a discussion on the relationships between creativity, complexity of tasks, and levels of expertise in domain knowledge.

Date

23.12.2007 12:22:16

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Abstract

Purpose - This paper proposes a conceptual framework for creative information seeking drawing upon Weisberg's argument that creativity exists in everyone, and mapping the creative process described in the holistic model of creativity to the information seeking activities identified in the behavioural model of information seeking. Design/methodology/approach - Using scenarios of information seeking behaviour, mappings between the creative process and information seeking activities were refined and six stages for creative information seeking were proposed. Scenarios were also used to provide theoretical justifications for stages in creative information seeking. Findings - Evidence gathered from the scenarios seemed to indicate that the type of information seeking task may have an impact on the extent to which an information seeker exhibits all stages in the framework. This is on-going research. Part II of this paper aims to conduct empirical studies and gather evidence to verify the framework and examine this observation in more detail. Originality/value - Proposes a framework for creative information seeking.

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Abstract

This paper describes the application of Carroll's scenario-based design and claims analysis as a means of refinement to the initial design of a digital library of geographical resources (GeogDL) to prepare Singapore students to take a national examination in geography. GeogDL is built on top of G-Portal, a digital library providing services over geospatial and georeferenced Web content. Beyond improving the initial design of GeogDL, a main contribution of the paper is making explicit the use of Carroll's strong theory-based but undercapitalized scenario-based design and claims analysis that inspired recommendations for the refinement of GeogDL. The paper concludes with an overview of the implementation of some of the recommendations identified in the study to address "usability" and "usefulness" design issues in GeogDL, and discusses implications of the findings in relation to geospatial digital libraries in general.

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Abstract

As the online dissemination of scholarly outputs gets faster and easier, altmetrics, social media based indices, have emerged alongside traditional metrics for research evaluation. In a two-phase survey, we investigate scholars' familiarity and usage of traditional metrics and altmetrics. In this paper, we present the second phase with 448 participants. We found few traditional metrics, like the Journal Impact Factor and number of citations, are familiar to and often used by scholars for research evaluation. Among altmetrics, only views/downloads, readers, and followers are known to more than half the respondents. Unseen benefits and lack of time are hindrances to using metrics for the evaluation of research outputs. Although social media are well-known, scholars prefer promoting their research by publishing in journals and attending conferences. We found social media usage, perceived ease of use and usefulness of altmetrics affect the usage of altmetrics. Findings suggest altmetrics have attracted attention in academia and could be considered complementary to traditional metrics. We acknowledge that due to the limited sample size, statistics and demographics in this study, findings cannot be said to be representative of the entire academic population worldwide. Future studies are needed that cover a wider range of academic disciplines around the world.

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Abstract

In order to organise and manage geospatial and georeferenced information on the Web making them convenient for searching and browsing, a digital portal known as G-Portal has been designed and implemented. Compared to other digital libraries, G-Portal is unique for several of its features. It maintains metadata resources in XML with flexible resource schemas. Logical groupings of metadata resources as projects and layers are possible to allow the entire metadata collection to be partitioned differently for users with different information needs. These metadata resources can be displayed in both the classification-based and map-based interfaces provided by G-Portal. G-Portal further incorporates both a query module and an annotation module for users to search metadata and to create additional knowledge for sharing respectively. G-Portal also includes a resource classification module that categorizes resources into one or more hierarchical category trees based on user-defined classification schemas. This paper gives an overview of the G-Portal design and implementation. The portal features will be illustrated using a collection of high school geography examination-related resources.

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Abstract

Recently, social media has become a potentially new way for scholarly journals to disseminate and evaluate research outputs. Scholarly journals have started promoting their research articles to a wide range of audiences via social media platforms. This article aims to investigate the social media presence of scholarly journals across disciplines. We extracted journals from Web of Science and searched for the social media presence of these journals on Facebook and Twitter. Relevant metrics and content relating to the journals' social media accounts were also crawled for data analysis. From our results, the social media presence of scholarly journals lies between 7.1% and 14.2% across disciplines; and it has shown a steady increase in the last decade. The popularity of scholarly journals on social media is distinct across disciplines. Further, we investigated whether social media metrics of journals can predict the Journal Impact Factor (JIF). We found that the number of followers and disciplines have significant effects on the JIF. In addition, a word co-occurrence network analysis was also conducted to identify popular topics discussed by scholarly journals on social media platforms. Finally, we highlight challenges and issues faced in this study and discuss future research directions.

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Abstract

Analyzing and documenting human information behaviors in the context of global public health crises such as the COVID-19 pandemic are critical to informing crisis management. Drawing on the Elaboration Likelihood Model, this study investigates how three types of peripheral cues-content richness, emotional valence, and communication topic-are associated with COVID-19 information sharing on Twitter. We used computational methods, combining Latent Dirichlet Allocation topic modeling with psycholinguistic indicators obtained from the Linguistic Inquiry and Word Count dictionary to measure these concepts and built a research model to assess their effects on information sharing. Results showed that content richness was negatively associated with information sharing. Tweets with negative emotions received more user engagement, whereas tweets with positive emotions were less likely to be disseminated. Further, tweets mentioning advisories tended to receive more retweets than those mentioning support and news updates. More importantly, emotional valence moderated the relationship between communication topics and information sharing-tweets discussing news updates and support conveying positive sentiments led to more information sharing; tweets mentioning the impact of COVID-19 with negative emotions triggered more sharing. Finally, theoretical and practical implications of this study are discussed in the context of global public health communication.