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Despite the pendulum swing from utopian to dystopian views of the Internet, the direction of the popular and academic literature continues to lean toward its liberatory potential, particularly as a tool for redressing social inequality. At the same time, decades of digital inequality scholarship have shown persistent socioeconomic inequality in Internet access and use. Yet most of this research captures class by individualized income and education variables, rather than a power relational framework. By tracing research on how fear, control, and risk manifest itself with inequalities related to digital content, digital activism, and digital work, I argue that a narrow stratification approach may miss the full cause and effect of digital inequality. Instead, a class analysis based on power relations may contribute to a broader and more precise theoretical lens to understand the digital divide. As a result, technology can reinforce, or even exacerbate, existing patterns of social and economic inequality because of this power differential.

How does gender equity fare in the digital public sphere(s)? To understand the mechanism of the gender gap, this study analyzes the interaction of gender with class, age, and parenthood. With American national survey data, this research compares different types of online content production practices in this blurred digital public sphere(s). Findings show differences between men and women in five of six digital content creation activities. Women are more likely to consume online content; men are more likely to produce it. From more public blogging to more private chatting, inequality persists. Interactions with gender show (1) women from higher educational levels face more inequality compared to their male counterparts than do women from lower educational levels; (2) age is not a factor in the gender gap; and (3) generally, parental status fails to explain the production divide. Understanding the gender gap and its mechanisms can help ameliorate inequalities. Some argue that the Internet is a more egalitarian public platform for women while others find gender inequality. But neither body of research has attended to the blurring of the public and private spheres on the Internet.

Recent development of internet applications and increase in application of various information technology have supported growing demand for new skills related to ICT and internet use, computer literacy and technical digital skills. New technologies have changed many aspects of life and have led to significant differences in digital skills, computer literacy, ICT and internet use along the usual dimensions of social inequality. Purpose of the study is to analyze main challenges and problems of digital inequalities in households in Latvia by regions, territories and income and level of education. Design/Methodology/Approach: This chapter analyzes scientific publication and previous conducted research results and data of Digital Economy and Society Index, Central Statistical Bureau of Latvia (2019) data and Eurostat. Data are analyzed using indicators of descriptive statistics (indicators of central tendency or location – arithmetic mean, mode and median), indicators of variability (indicators of dispersion – range, standard deviation and standard error of mean), cross-tabulations by region, territories, income and level of education and analysis of variance are used. Findings: The results of analysis indicated that there are differences between rural and urban Internet access, socioeconomic differences between people with different income and education that affects their ability to access the Internet and digital skills. Practical implications: Latvia would benefit from motivating life-long learning, investing on digital technology and raise awareness of the importance of digitization. Originality/value: The results of this chapter can provide valuable pointers for decision-makers how to improve digital skills and digitalization process in regions of Latvia and how digital inequality can be reduced.

In recent times the relationship between social stratification and internet use has become more complex. In order to understand the new configuration of the digital divide, this paper examines the relationship between socioeconomic background and digital engagement among youths.

This study explores digital inequalities among Italian teenagers from a holistic perspective. It draws on primary data obtained with a triangulation of methods: a survey on a representative sample of 2,025 high school students and 56 semi-structured interviews with teenagers from different social classes.

The statistical models indicate that cultural capital and parents’ occupational status do not associate with broader social media use but are positively related with online information-seeking. The interpretative analysis suggests that teenagers from the upper-middle class make sense of the internet “vertically,” in affiliation with parental socialization, and are more concerned with capital enhancing activities. Instead, teenagers from less advantageous social contexts appropriate the internet “horizontally,” jointly with peers, and are mostly interested in social-networking and UGC production.

School track, along with parents’ socioeconomic status and cultural capital, influences teenagers’ internet use. Further studies could explore whether school tracking contributes to digital inequalities.

The study extends Annette Lareau’s theory of parenting styles and social reproduction, but also obtains innovative results related to digital inequalities among youth. Contrary to expectations, teenagers from less advantageous social backgrounds enrolled in vocational schools have better chances to actively participate in social media than teens from the upper-middle class in academic-oriented high schools.

This study investigated four different economic level areas of China (Shanghai, Shandong, Shaanxi, and Guizhou) to analyze the eastern and western urban and rural media service status at different development stages. This set of data comes from the comparison of regional urban and rural areas and indicates the various aspects of differences in the survey area, including the media use habits, media resources, media consumer demand, evaluation of media services, the role of media in public life, public knowledge level, and so on. On analyzing data comprehensively, one thing can be found that there is a positive correlation between the public media contact degree and the public knowledge level. The media plays an extremely important role in public life and regional public knowledge gap between urban and rural areas exists. Furthermore, this gap is positively correlated to the media resources and media exposure. The trend of media using on mobile phone and computer in urban areas increases significantly greater than in rural areas. Then, how to narrow the urban–rural and regional public knowledge gap and reduce the negative impact of the digital divide will be an important urgent task.

Citizens are substantial stakeholders in every e-government system, thus their willingness to use and ability to access the system are critical. Unequal access and information and communication technology usage, which is known as digital divide, however has been identified as one of the major obstacles to the implementation of e-government system. As digital divide inhibits citizen’s acceptance to e-government, it should be overcome despite the lack of deep theoretical understanding on this issue. This research aimed to investigate the digital divide and its direct impact on e-government system success of local governments in Indonesia as well as indirect impact through the mediation role of trust. In order to get a comprehensive understanding of digital divide, this study introduced a new type of digital divide, the innovativeness divide.

The research problems were approached by applying two-stage sequential mixed method research approach comprising of both qualitative and quantitative studies. In the first phase, an initial research model was proposed based on a literature review. Semi-structured interview with 12 users of e-government systems was then conducted to explore and enhance this initial research model. Data collected in this phase were analyzed with a two-stage content analysis approach and the initial model was then amended based on the findings. As a result, a comprehensive research model with 16 hypotheses was proposed for examination in the second phase.

In the second phase, quantitative method was applied. A questionnaire was developed based on findings in the first phase. A pilot study was conducted to refine the questionnaire, which was then distributed in a national survey resulting in 237 useable responses. Data collected in this phase were analyzed using Partial Least Square based Structural Equation Modeling.

The results of quantitative analysis confirmed 13 hypotheses. All direct influences of the variables of digital divide on e-government system success were supported. The mediating effects of trust in e-government in the relationship between capability divide and e-government system success as well as in the relationship between innovativeness divide and e-government system success were supported, but was rejected in the relationship between access divide and e-government system success. Furthermore, the results supported the moderating effects of demographic variables of age, residential place, and education.

This research has both theoretical and practical contributions. The study contributes to the developments of literature on digital divide and e-government by providing a more comprehensive framework, and also to the implementation of e-government by local governments and the improvement of e-government Readiness Index of Indonesia.

Research into the explanations of digital inclusion has moved from investigations of skills and usage to tangible outcomes, what we label here as the third-level digital divide. There is a lack of theoretical development about which types of people are most likely to benefit. Understanding how achieving outcomes of internet use is linked to other types of (dis)advantage is one of the most complex aspects of digital inclusion research because very few reliable and valid measures have been developed. In the current study we took a first step toward creating an operational framework for measuring tangible outcomes of internet use and linking these to the inequalities identified by digital divide research.

After having proposed a classification for internet outcomes, we assessed these outcomes in a representative sample of the Dutch population.

Our overall conclusion in relation to the more general relationship between offline resources and third-level digital divides is that the internet remains more beneficial for those with higher social status, not in terms of how extensively they use the technology but in what they achieve as a result of this use for several important domains.

When information and services are offered online, the number of potential outcomes the internet has to offer increases. If individuals with higher social status are taking greater offline advantage from digital engagement than their lower status counterparts, existing offline inequalities could potentially be acerbated.