The digital divide refers to the gap between those able to benefit from the digital age and those who are not. The concern is that people without access to the Internet and other information and communication technologies will be disadvantaged, as they are unable or less able to obtain digital information, shop online, participate democratically, or learn skills and offer skills. This resulted in programs to give computers and related services to people without access.
Since the 1990s, a potent global movement, including a series of intergovernmental summit meetings, were conducted to "close the digital divide". Since then, this movement formulated solutions in public policy, technology design, finance and management that would allow all connected citizens to benefit equitably as a global digital economy spreads into the far corners of the world population. Though originally coined to refer merely to the matter of access—who is connected to the Internet and isn't—the term digital-divide has evolved to focus on the division between those who benefit from Information and Communication Technology and those who do not. Thus, the aim of “closing the digital divide” now refers to efforts to provide meaningful access to Internet infrastructures, applications and services. The matter of closing the digital divide nowadays includes the matter of how emergent technologies such as Artificial Intelligence (so-called AI4D), robotics and Internet of things can help societies. As it has become clear that the Internet can harm as well as help citizens, the focus of closing the digital divide had focused on the matter of how to generate "net benefit" (optimal help minimal harm) as a result of the impact of a spreading digital economy.
The divide between differing countries or regions of the world is referred to as the global digital divide, examining this technological gap between developing and developed countries on an international scale. The divide within countries (such as the digital divide in the United States) may refer to inequalities between individuals, households, businesses, or geographic areas, usually at different socioeconomic levels or other demographic categories.
Aspects of the digital divide
There are manifold definitions of the digital divide, all with slightly different emphasis, which is evidenced by related concepts like digital inclusion, digital participation, digital skills and media literacy, and digital accessibility.
A common approach, adopted by leaders in the field like Jan van Dijk, consists in defining the digital divide by the problem it aims to solve: based on different answers to the questions of who, with which kinds of characteristics, connects how and why to what, there are hundreds of alternatives ways to define the digital divide. "The new consensus recognizes that the key question is not how to connect people to a specific network through a specific device, but how to extend the expected gains from new ICTs." In short, the desired impact and "the end justifies the definition" of the digital divide. Some actors, like the US-based National Digital Inclusion Alliance, draw conclusions based on their particular answers to these questions, and defined that for them, it implies: 1) affordable, robust broadband Internet service; 2) Internet-enabled devices that meet the needs of the user; 3) access to digital literacy training; 4) quality technical support; 5) applications and online content designed to enable and encourage self-sufficiency, participation and collaboration.
The infrastructure by which individuals, households, businesses, and communities connect to the Internet address the physical mediums that people use to connect to the Internet such as desktop computers, laptops, basic mobile phones or smartphones, iPods or other MP3 players, gaming consoles such as Xbox or PlayStation, electronic book readers, and tablets such as iPads.
Traditionally, the nature of the divide has been measured in terms of the existing numbers of subscriptions and digital devices. Given the increasing number of such devices, some have concluded that the digital divide among individuals has increasingly been closing as the result of a natural and almost automatic process. Others point to persistent lower levels of connectivity among women, racial and ethnic minorities, people with lower incomes, rural residents, and less educated people as evidence that addressing inequalities in access to and use of the medium will require much more than the passing of time. Recent studies have measured the digital divide not in terms of technological devices, but in terms of the existing bandwidth per individual (in kbit/s per capita).
As shown in the Figure on the side, the digital divide in kbit/s is not monotonically decreasing but re-opens up with each new innovation. For example, "the massive diffusion of narrow-band Internet and mobile phones during the late 1990s" increased digital inequality, as well as "the initial introduction of broadband DSL and cable modems during 2003–2004 increased levels of inequality". This is because a new kind of connectivity is never introduced instantaneously and uniformly to society as a whole at once, but diffuses slowly through social networks. As shown by the Figure, during the mid-2000s, communication capacity was more unequally distributed than during the late 1980s, when only fixed-line phones existed. The most recent increase in digital equality stems from the massive diffusion of the latest digital innovations (i.e. fixed and mobile broadband infrastructures, e.g. 3G and fiber optics FTTH). Measurement methodologies of the digital divide, and more specifically an Integrated Iterative Approach General Framework (Integrated Contextual Iterative Approach – ICI) and the digital divide modeling theory under measurement model DDG (Digital Divide Gap) are used to analyze the gap existing between developed and developing countries, and the gap among the 27 members-states of the European Union.
The bit as the unifying variable
Instead of tracking various kinds of digital divides among fixed and mobile phones, narrow- and broadband Internet, digital TV, etc., it has recently been suggested to simply measure the amount of kbit/s per actor. This approach has shown that the digital divide in kbit/s per capita is actually widening in relative terms: "While the average inhabitant of the developed world counted with some 40 kbit/s more than the average member of the information society in developing countries in 2001, this gap grew to over 3 Mbit/s per capita in 2010."
The upper graph of the Figure on the side shows that the divide between developed and developing countries has been diminishing when measured in terms of subscriptions per capita. In 2001, fixed-line telecommunication penetration reached 70% of society in developed OECD countries and 10% of the developing world. This resulted in a ratio of 7 to 1 (divide in relative terms) or a difference of 60% (divide in absolute terms). During the next decade, fixed-line penetration stayed almost constant in OECD countries (at 70%), while the rest of the world started a catch-up, closing the divide to a ratio of 3.5 to 1. The lower graph shows the divide not in terms of ICT devices, but in terms of kbit/s per inhabitant. While the average member of developed countries counted with 29 kbit/s more than a person in developing countries in 2001, this difference got multiplied by a factor of one thousand (to a difference of 2900 kbit/s). In relative terms, the fixed-line capacity divide was even worse during the introduction of broadband Internet at the middle of the first decade of the 2000s, when the OECD counted with 20 times more capacity per capita than the rest of the world. This shows the importance of measuring the divide in terms of kbit/s, and not merely to count devices. The International Telecommunications Union concludes that "the bit becomes a unifying variable enabling comparisons and aggregations across different kinds of communication technologies".
Skills and digital literacy
However, research shows that the digital divide is more than just an access issue and cannot be alleviated merely by providing the necessary equipment. There are at least three factors at play: information accessibility, information utilization, and information receptiveness. More than just accessibility, individuals need to know how to make use of the information and communication tools once they exist within a community. Information professionals have the ability to help bridge the gap by providing reference and information services to help individuals learn and utilize the technologies to which they do have access, regardless of the economic status of the individual seeking help.
Gender digital divide
Due to the rapidly declining price of connectivity and hardware, skills deficits have eclipsed barriers of access as the primary contributor to the gender digital divide. Studies show that women are less likely to know how to leverage devices and Internet access to their full potential, even when they do use digital technologies. In rural India, for example, a study found that the majority of women who owned mobile phones only knew how to answer calls. They could not dial numbers or read messages without assistance from their husbands, due to a lack of literacy and numeracy skills. Research conducted across 25 countries found that adolescent boys with mobile phones used them for a wider range of activities, from playing games to accessing financial services online, while adolescent girls tended to use just the basic functionalities such as making phone calls and using the calculator. Similar trends can be seen even in areas where Internet access is near-universal. A survey of women in nine cities around the world revealed that although 97% of women were using social media, only 48% of them were expanding their networks, and only 21% of Internet-connected women had searched online for information related to health, legal rights or transport. In some cities, less than one quarter of connected women had used the Internet to look for a job.
Studies show that despite strong performance in computer and information literacy (CIL), girls do not have confidence in their ICT abilities. According to the International Computer and Information Literacy Study (ICILS) assessment girls' self-efficacy scores (their perceived as opposed to their actual abilities) for advanced ICT tasks were lower than boys'.
Internet connectivity can be utilized at a variety of locations such as homes, offices, schools, libraries, public spaces, Internet cafe and others. There are also varying levels of connectivity in rural, suburban, and urban areas.
Common Sense Media, a nonprofit group based in San Francisco, surveyed almost 1,400 parents and reported in 2011 that 47 percent of families with incomes more than $75,000 had downloaded apps for their children, while only 14 percent of families earning less than $30,000 had done so.
Reasons and correlating variables
The gap in a digital divide may exist for a number of reasons. Obtaining access to ICTs and using them actively has been linked to a number of demographic and socio-economic characteristics: among them income, education, race, gender, geographic location (urban-rural), age, skills, awareness, political, cultural and psychological attitudes. Multiple regression analysis across countries has shown that income levels and educational attainment are identified as providing the most powerful explanatory variables for ICT access and usage. Evidence was found that Caucasians are much more likely than non-Caucasians to own a computer as well as have access to the Internet in their homes. As for geographic location, people living in urban centers have more access and show more usage of computer services than those in rural areas. Gender was previously thought to provide an explanation for the digital divide, many thinking ICT were male gendered, but controlled statistical analysis has shown that income, education and employment act as confounding variables and that women with the same level of income, education and employment actually embrace ICT more than men (see Women and ICT4D). However, each nation has its own set of causes or the digital divide. For example, the digital divide in Germany is unique because it is not largely due to difference in quality of infrastructure.
One telling fact is that "as income rises so does Internet use ...", strongly suggesting that the digital divide persists at least in part due to income disparities. Most commonly, a digital divide stems from poverty and the economic barriers that limit resources and prevent people from obtaining or otherwise using newer technologies.
In research, while each explanation is examined, others must be controlled in order to eliminate interaction effects or mediating variables, but these explanations are meant to stand as general trends, not direct causes. Each component can be looked at from different angles, which leads to a myriad of ways to look at (or define) the digital divide. For example, measurements for the intensity of usages, such as incidence and frequency, vary by study. Some report usage as access to Internet and ICTs while others report usage as having previously connected to the Internet. Some studies focus on specific technologies, others on a combination (such as Infostate, proposed by Orbicom-UNESCO, the Digital Opportunity Index, or ITU's ICT Development Index).
Economic gap in the United States
During the mid-1990s, the US Department of Commerce, National Telecommunications & Information Administration (NTIA) began publishing reports about the Internet and access to and usage of the resource. The first of three reports is entitled "Falling Through the Net: A Survey of the 'Have Nots' in Rural and Urban America" (1995), the second is "Falling Through the Net II: New Data on the Digital Divide" (1998), and the final report "Falling Through the Net: Defining the Digital Divide" (1999). The NTIA's final report attempted clearly to define the term digital divide; "the digital divide—the divide between those with access to new technologies and those without—is now one of America's leading economic and civil rights issues. This report will help clarify which Americans are falling further behind so that we can take concrete steps to redress this gap." Since the introduction of the NTIA reports, much of the early, relevant literature began to reference the NTIA's digital divide definition. The digital divide is commonly defined as being between the "haves" and "have-nots." The economic gap really comes into play when referring to the older generations.
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Although many groups in society are affected by a lack of access to computers or the Internet, communities of color are specifically observed to be negatively affected by the digital divide. This is evident when it comes to observing home Internet access among different races and ethnicities. 81% of Whites and 83% of Asians have home Internet access, compared to 70% of Hispanics, 68% of Blacks, 72% of American Indian/Alaska Natives, and 68% of Native Hawaiian/Pacific Islanders. Although income is a factor in home Internet access disparities, there are still racial and ethnic inequalities that are present among those within lower income groups. 58% of low income Whites are reported to have home Internet access in comparison to 51% of Hispanics and 50% of Blacks. This information is reported in a report titled "Digital Denied: The Impact of Systemic Racial Discrimination on Home-Internet Adoption" which was published by the DC-based public interest group Fress Press. The report concludes that structural barriers and discrimination that perpetuates bias against people of different races and ethnicities contribute to having an impact on the digital divide. The report also concludes that those who do not have Internet access still have a high demand for it, and reduction in the price of home Internet access would allow for an increase in equitable participation and improve Internet adoption by marginalized groups.
Digital censorship and algorithmic bias are observed to be present in the racial divide. Hate-speech rules as well as hate speech algorithms online platforms such as Facebook have favored white males and those belonging to elite groups in society over marginalized groups in society, such as women and people of color. In a collection of internal documents that were collected in a project conducted by ProPublica, Facebook's guidelines in regards to distinguishing hate speech and recognizing protected groups revealed slides that identified three groups, each one containing either female drivers, black children, or white men. When the question of which subset group is protected is presented, the correct answer was white men . Minority group language is negatively impacted by automated tools of hate detection due to human bias that ultimately decides what is considered hate speech and what is not.
Online platforms have also been observed to tolerate hateful content towards people of color but restrict content from people of color. Aboriginal memes on a Facebook page were posted with racially abusive content and comments depicting Aboriginal people as inferior. While the contents on the page were removed by the originators after an investigation conducted by the Australian Communications and Media Authority, Facebook did not delete the page and has allowed it to remain under the classification of controversial humor . However, a post by an African American woman addressing her uncomfortableness of being the only person of color in a small-town restaurant was met with racist and hateful messages. When reporting the online abuse to Facebook, her account was suspended by Facebook for three days for posting the screenshots while those responsible for the racist comments she received were not suspended. Shared experiences between people of color can be at risk of being silenced under removal policies for online platforms.
Inequities in access to information technologies are present among individuals living with a disability in comparison to those who are not living with a disability. According to The Pew Research Center, 54% of households with a person who has a disability have home Internet access compared to 81% of households that have home Internet access and do not have a person who has a disability. The type of disability an individual has can prevent one from interacting with computer screens and smartphone screens, such as having a quadriplegia disability or having a disability in the hands. However, there is still a lack of access to technology and home Internet access among those who have a cognitive and auditory disability as well. There is a concern of whether or not the increase in the use of information technologies will increase equality through offering opportunities for individuals living with disabilities or whether it will only add to the present inequalities and lead to individuals living with disabilities being left behind in society. Issues such as the perception of disabilities in society, Federal and state government policy, corporate policy, mainstream computing technologies, and real-time online communication have been found to contribute to the impact of the digital divide on individuals with disabilities.
People with disabilities are also the targets of online abuse. Online disability hate crimes have increased by 33% across the UK between 2016–17 and 2017–18 according to a report published by Leonard Cheshire, a health and welfare charity. Accounts of online hate abuse towards people with disabilities were shared during an incident in 2019 when model Katie Price's son was the target of online abuse that was attributed to him having a disability. In response to the abuse, a campaign was launched by Katie Price to ensure that Britain's MP's held those who are guilty of perpetuating online abuse towards those with disabilities accountable. Online abuse towards individuals with disabilities is a factor that can discourage people from engaging online which could prevent people from learning information that could improve their lives. Many individuals living with disabilities face online abuse in the form of accusations of benefit fraud and "faking" their disability for financial gain, which in some cases leads to unnecessary investigations.
A paper published by J. Cooper from Princeton University points out that learning technology is designed to be receptive to men instead of women. The reasoning for this is that most software engineers and programmers are men, and they communicate their learning software in a way that would match the reception of their recipient. The association of computers in education is normally correlated with the male gender, and this has an impact on the education of computers and technology among women, although it is important to mention that there are plenty of learning software that are designed to help women and girls learn technology. Overall, the study presents the problem of various perspectives in society that are a result of gendered socialization patterns that believe that computers are a part of the male experience since computers have traditionally presented as a toy for boys when they are children. This divide is followed as children grow older and young girls are not encouraged as much to pursue degrees in IT and computer science. In 1990, the percentage of women in computing jobs was 36%, however in 2016, this number had fallen to 25%. This can be seen in the underrepresentation of women in IT hubs such as Silicon Valley.
There has also been the presence of algorithmic bias that has been shown in machine learning algorithms that are implemented by major companies.[clarification needed] In 2015, Amazon had to abandon a recruiting algorithm that showed a difference between ratings that candidates received for software developer jobs as well as other technical jobs. As a result, it was revealed that Amazon's machine algorithm was biased against women and favored male resumes over female resumes. This was due to the fact that Amazon's computer models were trained to vet patterns in resumes over a 10-year period. During this ten-year period, the majority of the resumes belong to male individuals, which is a reflection of male dominance across the tech industry.
A number of states, including some that have introduced new laws since 2010, notably censor voices from and content related to the LGBT community, posing serious consequences to access to information about sexual orientation and gender identity. Digital platforms play a powerful role in limiting access to certain content, such as YouTube's 2017 decision to classify non-explicit videos with LGBT themes as 'restricted', a classification designed to filter out 'potentially inappropriate content'. The Internet provides information that can create a safe space for marginalized groups such as the LGBT community to connect with others and engage in honest dialogues and conversations that are affecting their communities. It can also be viewed as an agent of change for the LGBT community and provide a means of engaging in social justice. It can allow for LGBT individuals who may be living in rural areas or in areas where they are isolated to gain access to information that are not within their rural system as well as gaining information from other LGBT individuals. This includes information such as healthcare, partners, and news. GayHealth provides online medical and health information and Gay and Lesbians Alliance Against Defamation contains online publications and news that focus on human rights campaigns and issues focused on LGBT issues. The Internet also allows LGBT individuals to maintain anonymity. LGBT Tech has emphasized launching newer technologies with 5G technology in order to help close the digital divide that can cause members of the LGBT community to lose access to reliable and fast technology that can provide information on healthcare, economic opportunities, and safe communities.
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Older adults, those ages 60 and up, face various barriers that contribute to their lack of access to information and communication technologies (ICTs). Many adults are "digital immigrants" who have not had lifelong exposure to digital media and have had to adapt to incorporating it in their lives. A study in 2005 found that only 26% of people aged 65 and over were Internet users, compared to 67% in the 50-64 age group and 80% in the 30-49 year age group. This "grey divide" can be due to factors such as concern over security, motivation and self-efficacy, decline of memory or spatial orientation, cost, or lack of support. The aforementioned variables of race, disability, gender, and sexual orientation also add to the barriers for older adults.
Many older adults may have physical or mental disabilities that render them homebound and financially insecure. They may be unable to afford Internet access or lack transportation to use computers in public spaces, the benefits of which would be enhancing their health and reducing their social isolation and depression. Homebound older adults would benefit from Internet use by using it to access health information, use telehealth resources, shop and bank online, and stay connected with friends or family using email or social networks.
Those in more privileged socio-economic positions and with a higher level of education are more likely to have Internet access than those older adults living in poverty. Lack of access to the Internet inhibits "capital-enhancing activities" such as accessing government assistance, job opportunities, or investments. The results of the U.S. Federal Communication Commission's 2009 National Consumer Broadband Service Capability Survey shows that older women are less likely to use the Internet, especially for capital enhancing activities, than their male counterparts.
However, a reverse divide is also happening, as poor and disadvantaged children and teenagers spend more time using digital devices for entertainment and less time interacting with people face-to-face compared to children and teenagers in well-off families.
The ethical roots of the matter of closing the digital divide can be found in the notion of “social contract”, in which Jean Jacques Rousseau advocated that governments should intervene to ensure that any society's economic benefits should be fairly and meaningfully distributed. Amid the Industrial Revolution in Great Britain, Rousseau's idea helped to justify poor laws that created a safety net for those who were harmed by new forms of production. Later when telepgraph and postal systems evolved, many used Rousseau's ideas to argue for full access to those services, even if it meant subsidizing hard to serve citizens. Thus, "universal services" referred to innovations in regulation and taxation that would allow phone services such as AT&T in the United States serve hard to serve rural users. In the 1996, as telecommunications companies merged Internet companies, the Federal Communications Commission adopted Telecommunications Services Act of 1996 to consider regulatory strategies and taxation policies to close the digital divide. Though the term "digital divide" was coined among consumer groups that sought to tax and regulate Information and communications technology (ICT) companies to close digital divide, the topic soon moved onto a global stage. The focus was the World Trade Organization which passed a Telecommunications Services Act, which resisted regulation of ICT companies so that they would be required to serve hard to serve individuals and communities. In an effort to assuage anti-globalization forces, the WTO hosted an event in 1999 in Seattle, USA, called “Financial Solutions to Digital Divide," co-organized by Craig Warren Smith of Digital Divide Institute and Bill Gates Sr. the chairman of the Bill and Melinda Gates Foundation. This event, attended by CEOs of Internet companies, UN Agencies, Prime Ministers, leading international foundations and leading academic institutions was the catalyst for a full scale global movement to close digital divide, which quickly spread virally to all sectors of the global economy.
The Facebook divide, a concept derived from the "digital divide", is the phenomenon with regard to access to, use of, or impact of Facebook on individual society and among societies. It is suggested at the International Conference on Management Practices for the New Economy (ICMAPRANE-17) on February 10–11, 2017. Additional concepts of Facebook Native and Facebook Immigrants are suggested at the conference. The Facebook Divide, Facebook native, Facebook immigrants, and Facebook left-behind are concepts for social and business management research. Facebook Immigrants are utilizing Facebook for their accumulation of both bonding and bridging social capital. These Facebook Native, Facebook Immigrants, and Facebook left-behind induced the situation of Facebook inequality. In February 2018, the Facebook Divide Index was introduced at the ICMAPRANE conference in Noida, India, to illustrate the Facebook Divide phenomenon.
Overcoming the divide
An individual must be able to connect in order to achieve enhancement of social and cultural capital as well as achieve mass economic gains in productivity. Therefore, access is a necessary (but not sufficient) condition for overcoming the digital divide. Access to ICT meets significant challenges that stem from income restrictions. The borderline between ICT as a necessity good and ICT as a luxury good is roughly around the "magical number" of US$10 per person per month, or US$120 per year, which means that people consider ICT expenditure of US$120 per year as a basic necessity. Since more than 40% of the world population lives on less than US$2 per day, and around 20% live on less than US$1 per day (or less than US$365 per year), these income segments would have to spend one third of their income on ICT (120/365 = 33%). The global average of ICT spending is at a mere 3% of income. Potential solutions include driving down the costs of ICT, which includes low-cost technologies and shared access through Telecentres.
Furthermore, even though individuals might be capable of accessing the Internet, many are thwarted by barriers to entry, such as a lack of means to infrastructure or the inability to comprehend the information that the Internet provides. Lack of adequate infrastructure and lack of knowledge are two major obstacles that impede mass connectivity. These barriers limit individuals' capabilities in what they can do and what they can achieve in accessing technology. Some individuals can connect, but they do not have the knowledge to use what information ICTs and Internet technologies provide them. This leads to a focus on capabilities and skills, as well as awareness to move from mere access to effective usage of ICT.
The United Nations is aiming to raise awareness of the divide by way of the World Information Society Day which has taken place yearly since May 17, 2006. It also set up the Information and Communications Technology (ICT) Task Force in November 2001. Later UN initiatives in this area are the World Summit on the Information Society, which was set up in 2003, and the Internet Governance Forum, set up in 2006.
In the year 2000, the United Nations Volunteers (UNV) programme launched its Online Volunteering service, which uses ICT as a vehicle for and in support of volunteering. It constitutes an example of a volunteering initiative that effectively contributes to bridge the digital divide. ICT-enabled volunteering has a clear added value for development. If more people collaborate online with more development institutions and initiatives, this will imply an increase in person-hours dedicated to development cooperation at essentially no additional cost. This is the most visible effect of online volunteering for human development.
Social media websites serve as both manifestations of and means by which to combat the digital divide. The former describes phenomena such as the divided users' demographics that make up sites such as Facebook and Myspace or Word Press and Tumblr. Each of these sites hosts thriving communities that engage with otherwise marginalized populations. An example of this is the large online community devoted to Afrofuturism, a discourse that critiques dominant structures of power by merging themes of science fiction and blackness. Social media brings together minds that may not otherwise meet, allowing for the free exchange of ideas and empowerment of marginalized discourses.
Attempts to bridge the digital divide include a program developed in Durban, South Africa, where deficient access to technology and a lack of documented cultural heritage has motivated the creation of an "online indigenous digital library as part of public library services." This project has the potential to narrow the digital divide by not only giving the people of the Durban area access to this digital resource, but also by incorporating the community members into the process of creating it.
In nations where poverty compounds effects of the digital divide, programs are emerging to counter those trends. In Kenya, lack of funding, language, and technology illiteracy contributed to an overall lack of computer skills and educational advancement. This slowly began to change when foreign investment began. In the early 2000s, the Carnegie Foundation funded a revitalization project through the Kenya National Library Service. Those resources enabled public libraries to provide information and communication technologies to their patrons. In 2012, public libraries in the Busia and Kiberia communities introduced technology resources to supplement curriculum for primary schools. By 2013, the program expanded into ten schools.
Community Informatics (CI) provides a somewhat different approach to addressing the digital divide by focusing on issues of "use" rather than simply "access". CI is concerned with ensuring the opportunity not only for ICT access at the community level but also, according to Michael Gurstein, that the means for the "effective use" of ICTs for community betterment and empowerment are available. Gurstein has also extended the discussion of the digital divide to include issues around access to and the use of "open data" and coined the term "data divide" to refer to this issue area.
Once an individual is connected, Internet connectivity and ICTs can enhance his or her future social and cultural capital. Social capital is acquired through repeated interactions with other individuals or groups of individuals. Connecting to the Internet creates another set of means by which to achieve repeated interactions. ICTs and Internet connectivity enable repeated interactions through access to social networks, chat rooms, and gaming sites. Once an individual has access to connectivity, obtains infrastructure by which to connect, and can understand and use the information that ICTs and connectivity provide, that individual is capable of becoming a "digital citizen."
In the United States, the research provided by Sungard Availability Services notes a direct correlation between a company's access to technological advancements and its overall success in bolstering the economy. The study, which includes over 2,000 IT executives and staff officers, indicates that 69 percent of employees feel they do not have access to sufficient technology in order to make their jobs easier, while 63 percent of them believe the lack of technological mechanisms hinders their ability to develop new work skills. Additional analysis provides more evidence to show how the digital divide also affects the economy in places all over the world. A BCG report suggests that in countries like Sweden, Switzerland, and the U.K., the digital connection among communities is made easier, allowing for their populations to obtain a much larger share of the economies via digital business. In fact, in these places, populations hold shares approximately 2.5 percentage points higher. During a meeting with the United Nations a Bangladesh representative expressed his concern that poor and undeveloped countries would be left behind due to a lack of funds to bridge the digital gap.
The digital divide also impacts children's ability to learn and grow in low-income school districts. Without Internet access, students are unable to cultivate necessary tech skills in order to understand today's dynamic economy. Federal Communication Commission's Broadband Task Force created a report showing that about 70% of teachers give students homework that demand access to broadband. Even more, approximately 65% of young scholars use the Internet at home to complete assignments as well as connect with teachers and other students via discussion boards and shared files. A recent study indicates that practically 50% of students say that they are unable to finish their homework due to an inability to either connect to the Internet or in some cases, find a computer. This has led to a new revelation: 42% of students say they received a lower grade because of this disadvantage. Finally, according to research conducted by the Center for American Progress, "if the United States were able to close the educational achievement gaps between native-born white children and black and Hispanic children, the U.S. economy would be 5.8 percent—or nearly $2.3 trillion—larger in 2050".
In a reverse of this idea, well-off families, especially the tech-savvy parents in Silicon Valley, carefully limit their own children's screen time. The children of wealthy families attend play-based preschool programs that emphasize social interaction instead of time spent in front of computers or other digital devices, and they pay to send their children to schools that limit screen time. American families that cannot afford high-quality childcare options are more likely to use tablet computers filled with apps for children as a cheap replacement for a babysitter, and their government-run schools encourage screen time during school.
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Furthermore, according to the 2012 Pew Report "Digital Differences," a mere 62% of households who make less than $30,000 a year use the Internet, while 90% of those making between $50,000 and $75,000 had access. Studies also show that only 51% of Hispanics and 49% of African Americans have high-speed Internet at home. This is compared to the 66% of Caucasians that too have high-speed Internet in their households. Overall, 10% of all Americans do not have access to high-speed Internet, an equivalent of almost 34 million people. Supplemented reports from the Guardian demonstrate the global effects of limiting technological developments in poorer nations, rather than simply the effects in the United States. Their study shows that rapid digital expansion excludes those who find themselves in the lower class. 60% of the world's population, almost 4 billion people, have no access to the Internet and are thus left worse off.
Since gender, age, racial, income, and educational digital divides have lessened compared to the past, some researchers suggest that the digital divide is shifting from a gap in access and connectivity to ICTs to a knowledge divide. A knowledge divide concerning technology presents the possibility that the gap has moved beyond the access and having the resources to connect to ICTs to interpreting and understanding information presented once connected.
Second-level digital divide
The second-level digital divide, also referred to as the production gap, describes the gap that separates the consumers of content on the Internet from the producers of content. As the technological digital divide is decreasing between those with access to the Internet and those without, the meaning of the term digital divide is evolving. Previously, digital divide research has focused on accessibility to the Internet and Internet consumption. However, with more and more of the population gaining access to the Internet, researchers are examining how people use the Internet to create content and what impact socioeconomics are having on user behavior. New applications have made it possible for anyone with a computer and an Internet connection to be a creator of content, yet the majority of user-generated content available widely on the Internet, like public blogs, is created by a small portion of the Internet-using population. Web 2.0 technologies like Facebook, YouTube, Twitter, and Blogs enable users to participate online and create content without having to understand how the technology actually works, leading to an ever-increasing digital divide between those who have the skills and understanding to interact more fully with the technology and those who are passive consumers of it. Many are only nominal content creators through the use of Web 2.0, posting photos and status updates on Facebook, but not truly interacting with the technology.
Some of the reasons for this production gap include material factors like the type of Internet connection one has and the frequency of access to the Internet. The more frequently a person has access to the Internet and the faster the connection, the more opportunities they have to gain the technology skills and the more time they have to be creative.
Other reasons include cultural factors often associated with class and socioeconomic status. Users of lower socioeconomic status are less likely to participate in content creation due to disadvantages in education and lack of the necessary free time for the work involved in blog or web site creation and maintenance. Additionally, there is evidence to support the existence of the second-level digital divide at the K-12 level based on how educators' use technology for instruction. Schools' economic factors have been found to explain variation in how teachers use technology to promote higher-order thinking skills.
The global digital divide
The global digital divide describes global disparities, primarily between developed and developing countries, in regards to access to computing and information resources such as the Internet and the opportunities derived from such access. As with a smaller unit of analysis, this gap describes an inequality that exists, referencing a global scale.
The Internet is expanding very quickly, and not all countries—especially developing countries—can keep up with the constant changes. The term "digital divide" does not necessarily mean that someone does not have technology; it could mean that there is simply a difference in technology. These differences can refer to, for example, high-quality computers, fast Internet, technical assistance, or telephone services. The difference between all of these is also considered a gap.
There is a large inequality worldwide in terms of the distribution of installed telecommunication bandwidth. In 2014 only three countries (China, US, Japan) host 50% of the globally installed bandwidth potential (see pie-chart Figure on the right). This concentration is not new, as historically only ten countries have hosted 70–75% of the global telecommunication capacity (see Figure). The U.S. lost its global leadership in terms of installed bandwidth in 2011, being replaced by China, which hosts more than twice as much national bandwidth potential in 2014 (29% versus 13% of the global total).
|Library resources about |
- Achievement gap
- Civic opportunity gap
- Computer technology for developing areas
- Digital divide by country
- Digital divide in Canada
- Digital divide in China
- Digital divide in South Africa
- Digital divide in Thailand
- Digital rights
- Digital Society Day (October 17 in India)
- Global Internet usage
- Government by algorithm
- Information society
- International communication
- Internet geography
- Internet governance
- List of countries by Internet connection speeds
- Light-weight Linux distribution
- National broadband plans from around the world
- Net neutrality
- Rural Internet
Groups devoted to digital divide issues
This article incorporates text from a free content work. Licensed under CC BY-SA 3.0 IGO. Text taken from I'd blush if I could: closing gender divides in digital skills through education, UNESCO, EQUALS Skills Coalition, UNESCO. UNESCO.
- Hilbert, Martin (2011). "The end justifies the definition: The manifold outlooks on the digital divide and their practical usefulness for policy-making". Telecommunications Policy. 35 (8): 715–736. doi:10.1016/j.telpol.2011.06.012.
- Smith, Craig Warren (2002). Digital corporate citizenship : the business response to the digital divide. Indianapolis: The Center on Philanthropy at Indiana University. ISBN 1884354203.
- Bukht, Rumana; Heeks, Richard (2017). Defining, Conceptualising and Measuring the Digital Economy. Manchester: Centre for Development Informatics Global Development Institute, SEED. ISBN 978-1-905469-62-8.
- "Overview of ITU's History (8)". International Telecommunication Union. Retrieved November 23, 2020.
- Pursel, Bart. "Information, People, and Technology". The Pennsylvania State University Open Resource Publishing. Retrieved November 23, 2020.
- Mann, S., & Hilbert, M. (2020). AI4D: Artificial Intelligence for Development. International Journal of Communication, 14(0), 21. http://www.martinhilbert.net/ai4d-artificial-intelligence-for-development/
- Lee, Kai Fu (2018). AI Superpowers: China, Silicon Valley, and the New World Order. AI Superpowers. Boston: Houghton Mifflin Harcourt. p. 19. ISBN 9781328546395.
- Campbell, Harry F.; Brown, Richard P. C. (May 2003). Benefit-Cost Analysis Financial and Economic Appraisal Using Spreadsheets. Cambridge: Cambridge University Press. ISBN 9780521528986. Retrieved November 9, 2020.
- Simon, Amanda (February 10, 2015). "Leading Foundations Join Together to Launch Initiative to Build a Stronger Digital Society". Ford Foundation. Retrieved November 3, 2020.
- U.S. Department of Commerce, National Telecommunications and Information Administration (NTIA). (1995). Falling through the net: A survey of the have nots in rural and urban America. Retrieved from, http://www.ntia.doc.gov/ntiahome/fallingthru.html.
- Norris, P. (2001). Digital Divide: Civic Engagement, Information Poverty and the Internet Worldwide Archived October 24, 2009, at the Wayback Machine. Cambridge University Press.
- Chinn, Menzie D. and Robert W. Fairlie. (2004). The Determinants of the Global Digital Divide: A Cross-Country Analysis of Computer and Internet Penetration. Economic Growth Center. Retrieved from 
- "Dashboard – Digital inclusion". GOV.UK. Retrieved October 26, 2018.
- "Tech Partnership Legacy". Thetechpartnership.com. Retrieved October 26, 2018.
- "Media literacy". Ofcom. Retrieved October 26, 2018.
- Rouse, Margaret. "What is digital accessibility? - Definition from WhatIs.com". Whatis.techtarget.com. Retrieved October 26, 2018.
- Dijk, J. van. (2020). The Digital Divide (1st edition). Polity.
- Galperin, H. (2010). Goodbye digital divide, Hello digital confusion? A critical embrace of the emerging ICT4D consensus. Information Technologies and International Development, 6 Special Edition, 53–55
- "NDIA". 2017. Retrieved June 25, 2018.
- Zickuher, Kathryn. 2011. Generations and their gadgets. Pew Internet & American Life Project.
- Hilbert, Martin (2016). "The bad news is that the digital access divide is here to stay: Domestically installed bandwidths among 172 countries for 1986–2014". Telecommunications Policy. 40 (6): 567–581. doi:10.1016/j.telpol.2016.01.006.
- Compaine, B.M. (2001). The digital divide: Facing a crisis or creating a myth? Cambridge, Massachusetts: MIT Press
- Dutton, W.H.; Gillett, S.E.; McKnight, L.W.; Peltu, M. (2004). "Bridging Broadband Internet Divides". Journal of Information Technology. 19 (1): 28–38. doi:10.1057/palgrave.jit.2000007. S2CID 11827716.
- Eszter Hargittai. The Digital Divide and What to Do About It. New Economy Handbook, p. 824, 2003.
- Kathryn zickuhr. Who's not online and why? Pew Research Center, 2013.
- Hilbert, Martin (2013). "Technological information inequality as an incessantly moving target: The redistribution of information and communication capacities between 1986 and 2010" (PDF). Journal of the Association for Information Science and Technology. 65 (4): 821–835. doi:10.1002/asi.23020. S2CID 15820273.
- SciDevNet (2014) How mobile phones increased the digital divide; http://www.scidev.net/global/data/scidev-net-at-large/how-mobile-phones-increased-the-digital-divide.html
- Abdalhakim, Hawaf., (2009). An innovated objective digital divide measure, Journal of Communication and Computer, Volume 6, No.12 (Serial No.61), USA.
- Paschalidou, Georgia, (2011), Digital divide and disparities in the use of new technologies, http://dspace.lib.uom.gr/bitstream/2159/14899/6/PaschalidouGeorgiaMsc2011.pdf
- Figures 11 and 12 in "Mapping the dimensions and characteristics of the world's technological communication capacity during the period of digitization (1986–2007/2010)". Hilbert, Martin. Working paper INF/15-E, International Telecommunications Union. December 2, 2011.
- Hilbert, Martin (2010). "Information Societies or "ICT Equipment Societies?" Measuring the Digital Information-Processing Capacity of a Society in Bits and Bytes". The Information Society. 26 (3): 157–178. doi:10.1080/01972241003712199. S2CID 1552670.
- "Mapping the dimensions and characteristics of the world's technological communication capacity during the period of digitization", Martin Hilbert (2011), Presented at the 9th World Telecommunication/ICT Indicators Meeting, Mauritius: International Telecommunication Union (ITU); free access to the article can be found here: http://www.itu.int/ITU-D/ict/wtim11/documents/inf/015INF-E.pdf
- "Chapter 5: Measuring communication capacity in bits and bytes", in Measuring the report Information Society 2012; ITU (International Telecommunication Union) (2012).
- Mun-cho, K. & Jong-Kil, K. (2001). Digital divide: conceptual discussions and prospect, In W. Kim, T. Wang Ling, Y.j. Lee & S.S. Park (Eds.), The human society and the Internet: Internet-related socio-economic Issues, First International Conference, Seoul, Korea: Proceedings, Springer, New York, NY.
- Aqili, S.; Moghaddam, A. (2008). "Bridging the digital divide: The role of librarians and information professionals in the third millennium". Electronic Library. 26 (2): 226–237. doi:10.1108/02640470810864118.
- "I'd blush if I could: closing gender divides in digital skills through education" (PDF). UNESCO, EQUALS Skills Coalition. 2019.
- Mariscal, J., Mayne, G., Aneja, U. and Sorgner, A. 2018. Bridging the Gender Digital Gap. Buenos Aires, CARI/CIPPEC.
- Girl Effect and Vodafone Foundation. 2018. Real Girls, Real Lives, Connected. London, Girl Effect and Vodafone Foundation.
- Fjeld, A. 2018. AI: A Consumer Perspective. March 13, 2018. New York, LivePerson.
- Livingston, Gretchen. 2010. Latinos and Digital Technology, 2010. Pew Hispanic Center
- Ramalingam A, Kar SS (2014). "Is there a digital divide among school students? an exploratory study from Puducherry". J Educ Health Promot. 3: 30. doi:10.4103/2277-9531.131894 (inactive January 19, 2021). PMC 4089106. PMID 25013823.CS1 maint: DOI inactive as of January 2021 (link)
- Ryan Kim (October 25, 2011). "'App gap' emerges highlighting savvy mobile children". GigaOM.
- Mossberger, Karen; Tolbert, Caroline J.; Gilbert, Michele (2006). "Race, Place, and Information Technology (IT)". Urban Affairs Review. 41 (5): 583–620. doi:10.1177/1078087405283511. S2CID 18619121.
- Lawton, Tait. "15 Years of Chinese Internet Usage in 13 Pretty Graphs". NanjingMarketingGroup.com. CNNIC. Archived from the original on April 22, 2014.
- Wang, Wensheng. Impact of ICTs on Farm Households in China, ZEF of University Bonn, 2001
- Statistical Survey Report on the Internet Development in China. China Internet Network Information Center. January 2007. From "Archived copy" (PDF). Archived from the original (PDF) on October 14, 2013. Retrieved July 5, 2013.CS1 maint: archived copy as title (link)
- Guillen, M. F.; Suárez, S. L. (2005). "Explaining the global digital divide: Economic, political and sociological drivers of cross-national internet use". Social Forces. 84 (2): 681–708. CiteSeerX 10.1.1.649.2813. doi:10.1353/sof.2006.0015. S2CID 3124360.
- Wilson, III. E.J. (2004). The Information Revolution and Developing Countries. Cambridge, Massachusetts: The MIT Press.
- Carr, Deborah (2007). "The Global Digital Divide". Contexts. 6 (3): 58. doi:10.1525/ctx.2007.6.3.58. S2CID 62654684. ProQuest 219574259.
- Wilson, Kenneth, Jennifer Wallin, and Christa Reiser. "Social Science Computer Review." Social Science Computer Review. 2003; 21(2): 133-143 PDF
- Hilbert, Martin (2010). "When is Cheap, Cheap Enough to Bridge the Digital Divide? Modeling Income Related Structural Challenges of Technology Diffusion in Latin America" (PDF). World Development. 38 (5): 756–770. doi:10.1016/j.worlddev.2009.11.019.
- Hilbert, Martin (November–December 2011). "Digital gender divide or technologically empowered women in developing countries? A typical case of lies, damned lies, and statistics" (PDF). Women's Studies International Forum. 34 (6): 479–489. doi:10.1016/j.wsif.2011.07.001. S2CID 146742985.
- Schliefe, Katrin (February 2007). "Regional Versus. Individual Aspects of the Digital Divide in Germany" (PDF). Retrieved October 21, 2017.
- Rubin, R.E. (2010). Foundations of library and information science. 178–179. New York: Neal-Schuman Publishers.
- National Telecommunications & Information Administration, U.S. Department of Commerce. (1995). Falling through the net: A survey of the'have nots' in rural and urban America. Washington, D.C. Retrieved fromhttp://www.ntia.doc.gov/ntiahome/fallingthru.html
- National Telecommunications & Information Administration, U.S. Department of Commerce. (1998). Falling through the net II: New data on the digital divide. Washington, D.C. Retrieved from http://www.ntia.doc.gov/report/1998/falling-through-net-ii-new-data-digital-divide
- National Telecommunications & Information Administration, U.S. Department of Commerce. (1999). Falling through the net: Defining the digital divide. Washington, D.C. Retrieved from http://www.ntia.doc.gov/report/1999/falling-through-net-defining-digital-divide
- National Telecommunications & Information Administration, U.S. Department of Commerce. (1995). Falling through the net: A survey of the'have nots' in rural and urban America. Washington, D.C. Retrieved from http://www.ntia.doc.gov/ntiahome/fallingthru.html
- "Americans living with disability and their technology profile". Pew Research Center: Internet, Science & Tech. Washington. January 21, 2011. Retrieved April 5, 2020.
- Lazar, Jonathan; Stein, Michael Ashley (June 22, 2017). Disability, Human Rights, and Information Technology. University of Pennsylvania Press. ISBN 978-0-8122-4923-1.
- "Online hate crime against disabled people rises by a third". the Guardian. May 10, 2019. Retrieved April 5, 2020.
- "'He can't speak to defend himself, I can'". BBC News. Retrieved April 5, 2020.
- Cooper, J. (2008). "The digital divide: the special case of gender" (PDF). Journal of Computer Assisted Learning (22).
- Mundy, Liza (April 2017). "Why Is Silicon Valley So Awful to Women?". The Atlantic. Retrieved April 17, 2020.
- Dastin, Jeffrey (October 10, 2018). "Amazon scraps secret AI recruiting tool that showed bias against women". Reuters. Retrieved April 17, 2020.
- Hunt, Elle (March 20, 2017). "LGBT community anger over YouTube restrictions which make their videos invisible". The Guardian. ISSN 0261-3077. Retrieved April 5, 2020.
- Gutierrez, Carlos (January 27, 2020). "The potential of 5G to reduce the digital divide". lgbttech. Retrieved April 6, 2020.
- Vidal, Elizabeth (October 2019). "Digital Literacy Program: Reducing the Digital Gap of the Elderly: Experiences and Lessons Learned". 2019 International Conference on Inclusive Technologies and Education (CONTIE). San Jose del Cabo, Mexico: IEEE: 117–1173. doi:10.1109/CONTIE49246.2019.00030. ISBN 978-1-7281-5436-7. S2CID 210994981.
- Czaja, Sara; Schulz, Richard (2006). "Innovations in Technology and Aging Introduction". Generations: Journal of the American Society on Aging. 30 (2): 6–8.
- Friemel, Thomas N (February 2016). "The digital divide has grown old: Determinants of a digital divide among seniors". New Media & Society. 18 (2): 313–331. doi:10.1177/1461444814538648. ISSN 1461-4448. S2CID 206728184.
- Choi, Namkee G; DiNitto, Diana M (May 2, 2013). "The Digital Divide Among Low-Income Homebound Older Adults: Internet Use Patterns, eHealth Literacy, and Attitudes Toward Computer/Internet Use". Journal of Medical Internet Research. 15 (5): e93. doi:10.2196/jmir.2645. PMC 3650931. PMID 23639979.
- Hargittai, Eszter; Dobransky, Kerry (May 23, 2017). "Old Dogs, New Clicks: Digital Inequality in Skills and Uses among Older Adults". Canadian Journal of Communication. 42 (2). doi:10.22230/cjc.2017v42n2a3176. ISSN 1499-6642.
- Bowles, Nellie (October 26, 2018). "The Digital Gap Between Rich and Poor Kids Is Not What We Expected". The New York Times. ISSN 0362-4331. Retrieved July 8, 2019.
- Jackson, Dr. Kim (September 26, 2000). "The Telecommunications Universal Service Obligation (USO)". Parliament of Australia. Retrieved November 23, 2020.
- Smith, Craig Warren (2002). Digital Corporate Citizenship: The Business Response to the Digital Divide. Indianapolis: The Center on Philanthropy at Indiana University. ISBN 1884354203.
- Yung, Chunsing (June 1, 2017). "From Digital Divide to Facebook Divide, Reconstruct our Target Market Segments with Facebook Native and Facebook Immigrant". Jaipuria International Journal of Management Research. 3 (1): 8–18. doi:10.22552/jijmr/2017/v3/i1/146083. ISSN 2454-9509. S2CID 168913486.
- Thakur, Rajiv; Srivastava, Vinita; Bhatia, Shikha; Sharma, Jitender (2017). Management Practices for the New Economy. India: Bloomsbury Publishing India Pvt. Ltd. pp. 53–56. ISBN 9789386432087.
- Facebook Divide, Facebook Native and Facebook Immigrant. Proceedings of Researchfora 1st International Conference, Berlin, Germany, March 3–4, 2017, ISBN 978-93-86291-88-2. http://ssrn.com/abstract=2947269
- Yung, Chun Sing (June 23, 2017). "Facebook Divide Society [面簿分隔的社會]". Zao Bao, Singapore, Page 22.
- "Past Conference – ICMAPRANE2018". Jaipuria.ac.in. February 11, 2017. Retrieved October 26, 2018.
- "ICMAPRANE 2018". Jaipuria.ac.in. June 20, 2014. Retrieved October 26, 2018.
- Karen Mossberger (2003). Virtual Inequality: Beyond the Digital Divide. Georgetown University Press
- United Nations Educational UNDay
- "UN Information and Communication Technologies (ITC) Task Force Launched Today at Headquarters", Press Release, United Nations (New York), November 20, 2001
- Online Volunteering
- Acevedo, Manuel. 2005. Volunteering in the information society, Research paper.
- Greyling, E.; Zulu, S. (2010). "Content development in an indigenous digital library: A case study in community participation". IFLA Journal. 36 (1): 30–9. doi:10.1177/0340035209359570. S2CID 110314974.
- Blau, A (2002). "Access isn't enough: Merely connecting people and computers won't close the digital divide". American Libraries. 33 (6): 50–52.
- Pingo, Z. B. (2015). The transition from Camel Libraries to Digital Technologies in Kenya Public Libraries. Public Library Quarterly, 34(1), 63–84.
- Gurstein, Michael. "Effective use: A community informatics strategy beyond the digital divide". Archived from the original on March 9, 2012. Retrieved June 12, 2012.
- Gurstein, Michael. "Open data: Empowering the empowered or effective data use for everyone?". Archived from the original on November 24, 2012. Retrieved June 12, 2012.
- McKendrick, Joe. "Lack Of Digital, Cloud Opportunities Is Actually Embarrassing For Employees, Survey Suggests". Forbes. Retrieved April 17, 2017.
- Foroohar, Rana. "The Real Threat to Economic Growth Is the Digital Divide". Time. ISSN 0040-781X. Retrieved April 17, 2017.
- "Closing Digital Divide Critical to Social, Economic Development, Delegates Say at Second Committee Debate on Information and Communications Technologies | Meetings Coverage and Press Releases". www.un.org. Retrieved September 26, 2017.
- "Digital Divide: The Technology Gap between the Rich and Poor". Digital Responsibility. Retrieved April 17, 2017.
- "The Homework Gap: The 'Cruelest Part of the Digital Divide'". NEA Today. April 20, 2016. Retrieved April 17, 2017.
- "The Digital Divide in the Age of the Connected Classroom | NetRef". NetRef. January 14, 2016. Retrieved April 17, 2017.
- Kang, Cecilia (June 7, 2016). "The Challenges of Closing the Digital Divide". The New York Times. ISSN 0362-4331. Retrieved April 17, 2017.
- Elliott, Larry (January 13, 2016). "Spread of internet has not conquered 'digital divide' between rich and poor – report". The Guardian. ISSN 0261-3077. Retrieved April 17, 2017.
- Graham, M. (July 2011). "Time machines and virtual portals: The spatialities of the digital divide". Progress in Development Studies. 11 (3): 211–227. CiteSeerX 10.1.1.659.9379. doi:10.1177/146499341001100303. S2CID 17281619.
- Sciadas, George. (2003). Monitoring the Digital Divide…and Beyond. Orbicom.
- Reilley, Collen A. Teaching Wikipedia as a Mirrored Technology. First Monday, Vol. 16, No. 1-3, January 2011
- Graham, Mark (2014). "The Knowledge Based Economy and Digital Divisions of Labour". Pages 189–195 in Companion to Development Studies, 3rd edition, V. Desai, and R. Potter (eds). Routledge, Taylor & Francis Group. ISBN 978-1-44-416724-5 (paperback). ISBN 978-0-415-82665-5 (hardcover).
- Correa, Teresa. (2008) Literature Review: Understanding the "second-level digital divide" papers by Teresa Correa. Unpublished manuscript, School of Journalism, College of Communication, University of Texas at Austin. .
- Schradie, Jen (2011). "The Digital Production Gap: The Digital Divide and Web 2.0 Collide" (PDF). Poetics. 39 (2): 145–168. doi:10.1016/j.poetic.2011.02.003. Archived from the original (PDF) on February 27, 2012.
- Reinhart, J.; Thomas, E.; Toriskie, J. (2011). "K-12 Teachers: Technology Use and the Second Level Digital Divide". Journal of Instructional Psychology. 38 (3/4): 181.
- Lu, Ming-te (2001). "Digital divide in developing countries" (PDF). Journal of Global Information Technology Management. 4 (3): 1–4. doi:10.1080/1097198x.2001.10856304. S2CID 153534228. Archived from the original (PDF) on August 26, 2014.
- Azam, M. (2007). "Working together toward the inclusive digital world". Digital Opportunity Forum. Unpublished manuscript. Retrieved July 17, 2009, from http://www.dof.or.kr/pdf/Bangladesh%5BPPT%5D.pdf[dead link]
- Borland, J. (April 13, 1998). "Move Over Megamalls, Cyberspace Is the Great Retailing Equalizer". Knight Ridder/Tribune Business News.
- Brynjolfsson, Erik and Michael D. Smith (2000). "The great equalizer? Consumer choice behavior at Internet shopbots". Sloan Working Paper 4208–01. [email protected] Working Paper 137. July 2000. Sloan School of Management, Massachusetts Institute of Technology, Cambridge, Massachusetts.
- James, J. (2004). Information Technology and Development: A new paradigm for delivering the Internet to rural areas in developing countries. New York, NY: Routledge. ISBN 0-415-32632-X (print). ISBN 0-203-32550-8 (e-book).
- Southwell, B. G. (2013). Social networks and popular understanding of science and health: sharing disparities. Baltimore, MD: Johns Hopkins University Press. ISBN 978-1-4214-1324-2 (book).
- World Summit on the Information Society (WSIS), 2005. "What's the state of ICT access around the world?" Retrieved July 17, 2009.
- World Summit on the Information Society (WSIS), 2008. "ICTs in Africa: Digital Divide to Digital Opportunity". Retrieved July 17, 2009.
- "Falling Through the Net: Defining the Digital Divide" (PDF), NTIS, U.S. Department of Commerce, July 1999.
- DiMaggio, P. & Hargittai, E. (2001). "From the 'Digital Divide' to 'Digital Inequality': Studying Internet Use as Penetration Increases", Working Paper No. 15, Center for Arts and Cultural Policy Studies, Woodrow Wilson School, Princeton University. Retrieved May 31, 2009.
- Foulger, D. (2001). "Seven bridges over the global digital divide". IAMCR & ICA Symposium on Digital Divide, November 2001. Retrieved July 17, 2009.
- Chen, W.; Wellman, B. (2004). "The global digital divide within and between countries". IT & Society. 1 (7): 39–45.
- Council of Economic Advisors (2015). Mapping the Digital Divide.
- "A Nation Online: Entering the Broadband Age", NTIS, U.S. Department of Commerce, September 2004.
- James, J (2005). "The global digital divide in the Internet: developed countries constructs and Third World realities". Journal of Information Science. 31 (2): 114–23. doi:10.1177/0165551505050788. S2CID 42678504.
- Rumiany, D. (2007). "Reducing the Global Digital Divide in Sub-Saharan Africa". Posted on Global Envision with permission from Development Gateway, January 8, 2007. Retrieved July 17, 2009.
- "Telecom use at the Bottom of the Pyramid 2 (use of telecom services and ICTs in emerging Asia)", LIRNEasia, 2007.
- "Telecom use at the Bottom of the Pyramid 3 (Mobile2.0 applications, migrant workers in emerging Asia)", LIRNEasia, 2008–09.
- "São Paulo Special: Bridging Brazil's digital divide", Digital Planet, BBC World Service, October 2, 2008.
- Graham, M. (2009). "Global Placemark Intensity: The Digital Divide Within Web 2.0 Data", Floatingsheep Blog.
- Graham, M (2011). "Time Machines and Virtual Portals: The Spatialities of the Digital Divide". Progress in Development Studies. 11 (3): 211–227. CiteSeerX 10.1.1.659.9379. doi:10.1177/146499341001100303. S2CID 17281619.
- Yfantis, V. (2017). "Disadvantaged Populations And Technology In Music". A book about the digital divide in the music industry.
|Wikibooks has a book on the topic of: The Information Age|
|Wikibooks has a book on the topic of: Information and Communication Technologies for Poverty Alleviation|
|Wikibooks has a book on the topic of: Internet Governance|
- Media related to Digital divide at Wikimedia Commons
- E-inclusion, an initiative of the European Commission to ensure that "no one is left behind" in enjoying the benefits of Information and Communication Technologies (ICT).
- eEurope – An information society for all, a political initiative of the European Union.
- Digital Inclusion Network, an online exchange on topics related to the digital divide and digital inclusion, E-Democracy.org.
- Profiles of Innovators and Leaders Who Make a Difference (PDF). Expanding Digital Opportunity in New York City Public Schools. Committee on Technology in Government, New York City Council. June 2004.
- "The Digital Divide Within Education Caused by the Internet", Benjamin Todd, Acadia University, Nova Scotia, Canada, Undergraduate Research Journal for the Human Sciences, Volume 11 (2012).
- Statistics from the International Telecommunication Union (ITU)
- Mobile Phones and Access is an animated video produced by TechChange and USAID which explores issues of access related to global mobile phone usage.