Adaptive Information Visualization for Personalized Access to Educational Digital Libraries

Personalization is one of the emerging ways to increase the power of modern Digital Libraries. The Knowledge Sea II system presented in this paper explores social navigation support, an approach for providing personalized guidance within the open corpus of educational resources. Following the concepts of social navigation we have attempted to organize a personalized navigation support that is based on past learners’ interaction with the system. The study indicates that Knowledge Sea II became the students' primary tool for accessing the open corpus documents used in a programming course. The social navigation support implemented in this system was considered useful by students participating in the study of Knowledge Sea II. At the same time, some user comments indicated the need to provide more powerful navigational support, such as the ability to rank the usefulness of a page

Exploring social gambling: scoping, classification and evidence review

The aim of this report is to speculate on the level of concern we might have regarding consumer risk in relation to ‘social gambling.’ In doing so, this report is intended to help form the basis to initiate debate around a new and under-researched social issue; assist in setting a scientific research agenda; and, where appropriate, highlight concerns about any potential areas that need to be considered in terms of precautionary regulation. This report does not present a set of empirical research findings regarding ‘social gambling’ but rather gathers information to improve stakeholder understanding

Youth and Digital Media: From Credibility to Information Quality

Building upon a process-and context-oriented information quality framework, this paper seeks to map and explore what we know about the ways in which young users of age 18 and under search for information online, how they evaluate information, and how their related practices of content creation, levels of new literacies, general digital media usage, and social patterns affect these activities. A review of selected literature at the intersection of digital media, youth, and information quality -- primarily works from library and information science, sociology, education, and selected ethnographic studies -- reveals patterns in youth's information-seeking behavior, but also highlights the importance of contextual and demographic factors both for search and evaluation. Looking at the phenomenon from an information-learning and educational perspective, the literature shows that youth develop competencies for personal goals that sometimes do not transfer to school, and are sometimes not appropriate for school. Thus far, educational initiatives to educate youth about search, evaluation, or creation have depended greatly on the local circumstances for their success or failure

The state-of-the-art in personalized recommender systems for social networking

With the explosion of Web 2.0 application such as blogs, social and professional networks, and various other types of social media, the rich online information and various new sources of knowledge flood users and hence pose a great challenge in terms of information overload. It is critical to use intelligent agent software systems to assist users in finding the right information from an abundance of Web data. Recommender systems can help users deal with information overload problem efficiently by suggesting items (e.g., information and products) that match users’ personal interests. The recommender technology has been successfully employed in many applications such as recommending films, music, books, etc. The purpose of this report is to give an overview of existing technologies for building personalized recommender systems in social networking environment, to propose a research direction for addressing user profiling and cold start problems by exploiting user-generated content newly available in Web 2.0

A categorisation framework for a feature-level analysis of social network sites

Social media (SM) have enabled new forms of communication, interaction, and connectivity that affect individuals on a personal and professional level. But SM is a broad term that encompasses a wide range of technologies with both distinct and shared capabilities. In addition, while there is an agreed-upon definition of these systems, a comprehensive list of features and their affordances does not exist. Hence, this study sought to create a feature-level categorisation framework for analysing the use of social network sites (SNS). This categorisation was undertaken using the concept of affordances, which framed the high-level characteristics as well as distinct SNS features, to better understand the divergence in SNS capabilities and inform the study of different types of SM. The framework was created from an analysis of the literature on SNS affordances and a system investigation into three types of SNS (Facebook, YouTube and Twitter). The comprehensive review was undertaken using two families of SNS affordances (social and content affordances) identified in the literature to categorise and compare the platforms. The study reveals a diverse collection of features which afford behaviour in six areas of activity: profile building, social connectivity, social interactivity, content discovery, content sharing and content aggregation. Finally, the framework provides a basis from which the usage and management of SM within organisations can be more rigorously investigated

Interests Diffusion in Social Networks

Understanding cultural phenomena on Social Networks (SNs) and exploiting the implicit knowledge about their members is attracting the interest of different research communities both from the academic and the business side. The community of complexity science is devoting significant efforts to define laws, models, and theories, which, based on acquired knowledge, are able to predict future observations (e.g. success of a product). In the mean time, the semantic web community aims at engineering a new generation of advanced services by defining constructs, models and methods, adding a semantic layer to SNs. In this context, a leapfrog is expected to come from a hybrid approach merging the disciplines above. Along this line, this work focuses on the propagation of individual interests in social networks. The proposed framework consists of the following main components: a method to gather information about the members of the social networks; methods to perform some semantic analysis of the Domain of Interest; a procedure to infer members' interests; and an interests evolution theory to predict how the interests propagate in the network. As a result, one achieves an analytic tool to measure individual features, such as members' susceptibilities and authorities. Although the approach applies to any type of social network, here it is has been tested against the computer science research community. The DBLP (Digital Bibliography and Library Project) database has been elected as test-case since it provides the most comprehensive list of scientific production in this field.Comment: 30 pages 13 figs 4 table

Offline Student Political Activism: Supported or Thwarted by Online Political Engagement?

Social media is an integral part of everyday life for the current generation of college-age students. Researchers debate whether the time invested into these sites has a positive or negative influence on offline political activism. Drawing on an original survey of undergraduate students at Illinois Wesleyan University, this study finds that online political engagement has a significant, positive relationship with offline political activism, and this relationship holds even when controlling for the respondent’s political efficacy and natural political inclination. There is a positive relationship between online and offline political activism for students who believe that social media is an appropriate platform for political content; this indicator conditions the strength of online political engagement. Most importantly, observing political content on social media and searching for political information on social media both positively correlated with offline political activism. These results support the theory that the time and energy spent on social media positively influences offline political activism. Therefore, social networking sites should be considered positive mobilization and educational tools for United States college students

Gender and usage of instagram / Nurul Atiqah Mohd Azlan, Zaridah Abdullah and Jalilah Jaafar Sidek.

Social media plays such an important role in modern society that it has become an important aspect in one’s lifestyle, as well as changed the manner in which people interact and do things on a daily basis. Given rapid advancement in social media and communication technology, it is no surprise that social networking has become a key method of communication in contemporary society. A key mobile application to note is Instagram, which is widely used for personal and business purposes. In this study, quantitative method was adopted by means of a survey to elicit gender differences in the usage of Instagram for 150 Malaysian teenagers. It serves to identify gender preferences, as well as gratifications sought when using Instagram. Results indicate that the most gratification sought after by the respondents were affective needs, followed by personal and cognitive needs. There are no significant differences when it comes to personal gratifications for using Instagram between males and females in order to fulfil all of their needs. In a conclusion, although uses and gratifications theory is and old theory, it is still relevant to explain the reason people use or choose any type of media they believe are able to satisfy their needs especially with the existence of the social media