The role of motivation in the digital divide: The moderating effect of device access

2021 ◽  
pp. 205015792110606
Author(s):  
Lian Wang ◽  
Chun Liu

Socioeconomic status and demographic determinants are the most commonly examined factors in the study of the second-order digital divide regarding the differences associated with Internet use. The role of motivation in digital inequalities is comparatively less studied. We examine motivation and access variables in this paper. Statistical analysis based on a representative survey conducted in China indicates that motivation is a salient predictor of Internet use when other factors are controlled. In addition, device access significantly moderates the association between motivation and certain types of Internet use. While mobile-only users show the same, if not stronger, motivation for using the Internet for the purposes of study, entertainment, and e-commerce, they actually use those functions to a lesser extent than multimodal users. Hence, the digital divide is a multifaceted issue that requires a comprehensive solution.

First Monday ◽  
2021 ◽  
Author(s):  
Michel Mersereau

This paper presents highlights of research conducted into the Internet supported household activities of residents at the Toronto Community Housing Corporation (TCHC). The routines of residents in five distinct basic needs activity areas were examined in an effort to identify the role of the Internet in supporting these undertakings. The results indicate that the Internet can be characterized as an essential technical resource that supports the stability of TCHC households by helping to multiply and interconnect the activities that constitute household routines. By providing an explanatory model of the Internet’s role in supporting the stability of TCHC households, this research advances an argument for public intercession in the provisioning of household Internet services to help redress the digital divide in Canada’s most populous city.


2018 ◽  
Author(s):  
Hena Naz Din ◽  
Corinne McDaniels-Davidson ◽  
Jesse Nodora ◽  
Hala Madanat

BACKGROUND Internet use for health information is important, given the rise of electronic health (eHealth) that integrates technology into health care. Despite the perceived widespread use of the internet, a persistent “digital divide” exists in which many individuals have ready access to the internet and others do not. To date, most published reports have compared characteristics of internet users seeking health information vs nonusers. However, there is little understanding of the differences between internet users seeking health information online and users who do not seek such information online. Understanding these differences could enable targeted outreach for health interventions and promotion of eHealth technologies. OBJECTIVE This study aims to assess population-level characteristics associated with different types of internet use, particularly for seeking online health information. METHODS The 2015-2016 California Health Interview Survey datasets were used for this study. Internet use was classified as never used the internet (Never use), ever used the internet but not to search for health information in the last 12 months (Use not for health), and ever used the internet and have used it to search for health information in the last 12 months (Use for health). Weighted multinomial logistic regression was used to assess sociodemographic and health characteristics associated with types of internet use. Findings are reported as odds ratios (ORs) with 95% CIs. RESULTS Among 42,087 participants (weighted sample of 29,236,426), 19% reported Never Use of the internet, 27.9% reported Use not for health, and 53.1% reported Use for health. Compared to Never Use individuals, Use for health individuals were more likely to be younger (OR: 0.1, 95% CI 0.1-0.2 for ≥60 years vs <60 years), female (OR: 1.6, 95% CI 1.3-1.9 compared to males), and non-Hispanic white (OR: 0.54, 95% CI 0.4-0.7 for Latinos and OR: 0.2, 95% CI 0.2-0.4 for African Americans) and have a higher socioeconomic status (>400% of Federal Poverty Guidelines; OR: 1.3, 95% CI 1.4-2.4). Overall, characteristics for the Use not for health and Use for health groups were similar, except for those with lower levels of education and respondents not having visited a physician in the last year. For these two characteristics, the Use not for health group was more similar to the Never Use group. CONCLUSIONS Our findings indicate that a digital divide characterized by sociodemographic and health information exists across three types of users. Our results are in line with those of previous studies on the divide, specifically with regard to disparities in use and access related to age, race/ethnicity, and socioeconomic status. Disparities in online health-seeking behavior may reflect existing disparities in health care access extending into a new era of health technology. These findings support the need for interventions to target internet access and health literacy among Never Use and Use not for health groups.


Author(s):  
Benjamin Stodt ◽  
Elisa Wegmann ◽  
Matthias Brand

Internet addiction (IA) and cyberbullying (CB) represent two examples of dysfunctional Internet use (DIU) which are accompanied by negative consequences. In terms of prevention, the training of technical and reflective skills (Internet literacy) will be discussed with regard to these patterns. This study investigates the role of age, conscientiousness, and Internet literacy on IA symptoms and the participation in CB. Analyses reveal that positive attitudes towards online production and interaction and lower self-regulative skills can be associated with severe IA symptoms. Cyberbullies display less skills in reflecting on Internet content and also prove to have less self-regulative skills. Younger and less conscientious individuals are more likely to use the Internet dysfunctionally. Furthermore, significant correlations between experiences as a cyberbully and IA symptoms were found. In conclusion, the authors suggest that current media/Internet literacy curricula should be complemented by teaching reflective and regulative skills to prevent Internet users from negative consequences.


Author(s):  
Benjamin Stodt ◽  
Elisa Wegmann ◽  
Matthias Brand

Internet addiction (IA) and cyberbullying (CB) represent two examples of dysfunctional Internet use (DIU) which are accompanied by negative consequences. In terms of prevention, the training of technical and reflective skills (Internet literacy) will be discussed with regard to these patterns. This study investigates the role of age, conscientiousness, and Internet literacy on IA symptoms and the participation in CB. Analyses reveal that positive attitudes towards online production and interaction and lower self-regulative skills can be associated with severe IA symptoms. Cyberbullies display less skills in reflecting on Internet content and also prove to have less self-regulative skills. Younger and less conscientious individuals are more likely to use the Internet dysfunctionally. Furthermore, significant correlations between experiences as a cyberbully and IA symptoms were found. In conclusion, the authors suggest that current media/Internet literacy curricula should be complemented by teaching reflective and regulative skills to prevent Internet users from negative consequences.


2012 ◽  
pp. 242-258 ◽  
Author(s):  
Mary Gozza-Cohen ◽  
Deborah May

This entry examines the use of the internet by individuals with disabilities. Before people with disabilities can use the Internet for socializing, communicating, gathering information, learning, or working, they must first be able to access the Internet. This may require additional assistance by either people or modified hardware and software. Some authors have expressed concern that there is a digital divide, with many people with disabilities not accessing the Internet. The differing needs of people with disabilities, and how their needs may be met with technology and adaptations are explored. Examples of various uses of the Internet by people with disabilities are presented. This field does not have a large research base; it is difficult to do controlled large group studies with such diverse populations, so much of the information comes from position papers, demographic reports, case studies, or exploratory research.


2019 ◽  
Vol 21 (10) ◽  
pp. 2099-2118 ◽  
Author(s):  
Anique J Scheerder ◽  
Alexander JAM van Deursen ◽  
Jan AGM van Dijk

This study uses a domestication approach to digital inequality. The aim is to uncover whether and why less-educated families benefit less from Internet use than highly educated families. The predominantly quantitative approach of digital divide research provides little explanation as to why digital inequalities exist. Interviews were conducted with the heads of 48 Dutch families. The results showed that Internet use and routines in the home are shaped differently for families with different educational backgrounds. In all four phases of domestication, the highly educated demonstrated a critical view toward the Internet, resulting in considered use and redefinition. Less-educated members tended to be less interested in Internet developments and overall have a less reflective stance. Inequalities between different social strata already arise in the early stages of domestication and are magnified in the subsequent phases.


Author(s):  
Rannveig Sigurvinsdottir ◽  
Ingibjorg E. Thorisdottir ◽  
Haukur Freyr Gylfason

The true extent of the mental health implications of the COVID-19 pandemic are unclear, but early evidence suggests poorer mental health among those exposed to the pandemic. The Internet may have differential effects, by both connecting people with resources, or reinforce the constant checking of negative information. Moreover, locus of control becomes important in an uncontrollable pandemic. The current study aimed to examine whether exposure to COVID-19 would relate to greater symptoms of depression, anxiety and stress, and to examine the role of internet use and locus of control. Adults in the United States and five European countries (N = 1723) answered an online survey through the website Mturk. Results show elevated psychological symptoms among those who have become infected with COVID-19 or perceive themselves to be at high risk if infected. Experience using the Internet relates to fewer symptoms, but information seeking is associated with more symptoms. Internet social capital relates to fewer symptoms of depression. Having an external locus of control relates to greater symptoms. These findings suggest that public health officials need to focus on the mental health effects of the pandemic, and that internet use and locus of control could be targets to improve mental health in the population.


2014 ◽  
Vol 151 (1) ◽  
pp. 137-145 ◽  
Author(s):  
Sora Park

This article aims to provide a better understanding of the process of becoming digitally engaged. Those who cannot utilise digital networks are systematically disadvantaged, particularly in a hyper-connected world in which services are provided online by default. By interviewing and observing clients and trainers at a telecentre, the ACT Digital Hub, this study investigated the process that non-internet users undergo – from digital readiness to digital engagement – in order to become adept users. Intermediaries such as telecentres play a crucial role in equipping non-users with digital readiness, which is a precursor to digital media literacy. Social environment also plays a significant role in non-users' digital readiness. Rather than focusing merely on the provision of access to bridge the digital divide, we need a longer-term investment in adequate environments, such as sustainable community training centres, that nurture digital readiness.


2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 315-315
Author(s):  
Eun Young Choi ◽  
Youngsun Kim ◽  
Edson Chipalo ◽  
Hee Yun Lee

Abstract Existing literature informed that ageism might affect Internet use among older adults, further widening the digital divide among age groups. However, little empirical studies have been conducted on this topic. Our study aims to investigate (1) the current use of the Internet by gender, (2) the association between ageism and Internet use, and (3) potential gender differences. A cross-sectional data drawn from the 2016 Health and Retirement Study (HRS) was analyzed. Separate multiple regression analyses were conducted by gender to determine the varying impact of ageism on Internet use. We used two types of ageism (1) internal ageism (ingroup discrimination) and (2) external ageism (discrimination from external entities) to observe each type’s contribution to Internet use. About half of the sample (52% male and 54% female) reported using the Internet “daily,” while a quarter (26% male and 25% female) responded, “never/not relevant.” No significant differences between gender were found in levels of Internet use, the rates of external ageism, or the degree of internal ageism. A higher level of ageism was associated with a lower level of Internet use. Interaction effects between age groups and ageism varied across gender: external ageism had interaction effects on men’s Internet use whereas internal ageism showed significant results for women. Our findings suggest that ageism may influence Internet use and its impact differs by gender. Gender-tailored intervention strategies should be developed to help older individuals to diminish the adverse effects of ageism on Internet use.


Author(s):  
Ali Acilar

This article explores the gender digital divide in e-government use in Turkey. Historical trends and differences in internet and e-government use by males and females are investigated. The findings of this study indicate that although internet use has increased over the years, there remains a steady and significant gap between males and females in terms of internet use and e-government services use. It appears that females in Turkey tend to be on the wrong side of the digital divide, and a significant number of females do not benefit from the potential advantages of the internet and e-government services. The gender digital gap in e-government use is higher than in internet use.


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