18,154 research outputs found
Conceptualising the digital divide
The term âdigital divideâ emerged in the 1990s to define inequalities in access to the Information Communication Technologies (ICTs), framing it as a matter of having or not having access to ICTs (Compaine 2001). The firsts empirical researches have shown how some specific socio-demographic variables, such as employment status, income, education level, geographic location, ethnicity, age, gender and family structure, influenced the access to the ICTs, creating a digital gap or divide among citizens (domestic digital divide) or countries (global digital divide). Such inequalities have widened during the years, despite the fact that the World Summit on the Information Society, held in Geneva (2003) and then in Tunis (2005) has stressed the idea that no one should be left out from the benefits offered by the information society. The importance of the Internet as a pre-requisite for economic and social development, has been further stressed by the United Nations in 2015 when the Internet has been included among its goals for resolving the most persistent social and economic challenges of our time (UN, 2015: 15). Indeed, in a digital enabled society, part of the human activities depends on how we access, generate and process information. It is then worth asking how the phenomenon of digital divide and digital inequalities has been approached and analysed by both scholars and policy makers and how such approach has changed over the years. Hence, the aim of this chapter is to discuss the change of perspectives in analysing and attempting to bridge the digital divide, and reconceptualise this concept by offering a nuanced theoretical approach to analyses the rise and persistence of digital inequalities
Effecting Social Change in the 'Smart City': The West End Connect Community Project
Brisbane has declared itself a 'smart city'. But more and more Brisbane is also becoming a digitally divided city. The Brisbane community is being separated into those who have access to and are comfortable using Information and Communication Technology (ICT) â the 'haves' â and groups who do not have access to and are not comfortable using ICT â the 'have-nots'. The social and economic implications of digitally divided communities cannot be ignored by government or society as whole. The inner city suburb of West End is an example of a socially, culturally and economically diverse community. The suburb has traditionally been home to Indigenous and migrant populations as well as being a refuge for many of Brisbane's homeless people. The demographics of this suburb, however, are being significantly altered by new property developments with wealthier residents choosing to move close to the city. West End is rapidly becoming a digitally divided community. This paper explores a case study in which the Queensland University of Technology and the State Library of Queensland worked in collaboration with a number of community groups in West End to help bridge the growing digital divide. The West End Connect Community Project began in November 2004 with the aim of providing the opportunity for West End community groups to develop the skills and knowledge vital for personal and vocational success in an ever-changing environment of digital information. The paper will discuss and evaluate the strategies used to deliver and develop a community education program that will lead to social change for West End. The paper will discuss the impact of the project on the West End community as a way of bridging the digital divide
The compoundness and sequentiality of digital inequality
Through a survey with a representative sample of Dutch Internet users, this paper examines compound digital exclusion, that is, whether a person who lacks a particular digital skill also lacks another kind of skill; whether a person who does not engage in a particular way online is also less likely to engage in other ways; and whether a person who does not achieve a certain outcome online is also less likely to achieve another type of outcome. We also tested sequential digital exclusion, whether a lower level of digital skills leads to lower levels of engagement with the Internet resulting in a lower likelihood of an individual achieving tangible outcomes. Both types of digital exclusion are a reality. A certain use can have a strong relation with an outcome in a different domain. Furthermore, those who achieve outcomes in one domain do not necessarily achieve outcomes in another domain. To get a comprehensive picture of the nature of digital exclusion, it is necessary to account for different domains in research
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A conceptual study of the factors influencing e-inclusion
With the advancement of the Internet and supporting Information and Communication Technologies, e-inclusion has emerged as an effective means to create opportunities for all and to further individual autonomy and capability in terms of using online services offered by public agencies. The aim of this paper is to offer a critical discussion on the role of e-inclusion from the user perspective, which goes beyond the demographic factors when adopting e-government services. Further, this paper explains the fundamental differences between digital divide and e-inclusion and examines why research focus is now shifting towards studying e-inclusion rather that digital divide in Europe. Through a conceptual analysis the authors examine the relationship between social inclusion and e-inclusion and how they contributes towards promoting the use of ICT to overcome exclusion and improve economic performance, employment opportunities, quality of life, social participation and cohesion
Digital exclusion: coming out from behind closed doors
Government visions of a digital future show little indication of how disabled people, reliant on access technology, will participate. Access technology has the potential to offer independent use of the Internet but many disabled people already face barriers that prevent them having equitable digital experiences. Multiple obstacles include high set-up costs, inadequate technical support and exclusive design practices. Due to the high levels of personalisation required, many disabled people are restricted to using computers at home. As a result their problems with access often remain unacknowledged and hidden behind closed doors. As online governance of welfare gathers pace, so greater awareness of the diversity of ways in which disabled people interact with digital environments is called for. Without this, government expansion into digital-only welfare risks isolating even further those who have the most to gain
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Patient characteristics associated with objective measures of digital health tool use in the United States: A literature review.
The study sought to determine which patient characteristics are associated with the use of patient-facing digital health tools in the United States.We conducted a literature review of studies of patient-facing digital health tools that objectively evaluated use (eg, system/platform data representing frequency of use) by patient characteristics (eg, age, race or ethnicity, income, digital literacy). We included any type of patient-facing digital health tool except patient portals. We reran results using the subset of studies identified as having robust methodology to detect differences in patient characteristics.We included 29 studies; 13 had robust methodology. Most studies examined smartphone apps and text messaging programs for chronic disease management and evaluated only 1-3 patient characteristics, primarily age and gender. Overall, the majority of studies found no association between patient characteristics and use. Among the subset with robust methodology, white race and poor health status appeared to be associated with higher use.Given the substantial investment in digital health tools, it is surprising how little is known about the types of patients who use them. Strategies that engage diverse populations in digital health tool use appear to be needed.Few studies evaluate objective measures of digital health tool use by patient characteristics, and those that do include a narrow range of characteristics. Evidence suggests that resources and need drive use
Calling Doctor Google? Technology Adoption and Health Information Seeking among Low-income African American Older Adults
We conducted focus groups with low-income African American older adults in Kansas City, MO, to examine how this underserved group adopts and uses technology and how technology adoption/use is associated with health information seeking behavior. Low-income African American older adults have been shown to lag behind in terms of their technology access and use. Our findings show that although low-income African American older adults perceive technology to be highly useful, they do not view it as easy to use, thus preventing them from further adopting or using relevant technologies. Consequently, there is skepticism with respect to using technology to search for health information. Our study advances research on underserved groupsâ technology use and health information seeking by looking at the intersectionality of race/ethnicity, age, and income
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