Add wos sample results library
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abstract: 'Internet access is nowadays widespread in Spanish society. Nevertheless,
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a digital divide still exists. The term ``digital divide{''''} is defined
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by the OECD (2001:5) as ``the gap between individuals, household,
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businesses and geographic areas at different socio-economic levels with
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regard both to their opportunities to access information and
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communication technologies (ICTs) and to their use of the Internet for a
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wide variety of activities{''''}. In this context, Norris (2001) proposed
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three dimensions of the digital divide: (1) global divide, the
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divergence of Internet access between countries; (2) social divide, the
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usability gap between different groups as a result of social
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stratification; and (3) democratic divide, the gap between those who use
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and do not use digital resources for political mobilization and
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participation in public life. Other authors differentiate between three
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divides: in access, in skills and in outcomes (Wei et al. 2011). Digital
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divide research began with the study of the access to Internet and its
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use (the so-called first divide), although soon after the interest moved
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to the uses that different social groups made of Internet. Di Maggio et
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al. (2004) distinguished capital-enhancing activities (activities that
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improve social status) from social and recreational activities. These
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different uses of internet give rise to ``digital inequalities{''''}.
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In this paper, three digital divides are considered: the first is
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related to the access, the second to using or not Internet and the third
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to three capital-enhancing activities. We use representative samples
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(2017 and 2019) from the National Institute of Statistics (INE in
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Spanish) and the Center for Sociological Research (CIS in Spanish). The
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size of the sample is 17,337 (INE 2017), 17,196 (INE 2019) and 2,482
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(CIS 2017).
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We first analyse the access gap and reasons why households are not
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connected. Second, we study the evolution of users of Internet
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(2006-2019). Third, we create different indexes for measuring three
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capital-enhancing activities: and index of educational purposes, an
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index of professional purposes, and two indexes for measuring civic and
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political participation.
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The index of educational purposes includes four items: 1) make an online
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course, 2) use Internet content for learning purpose, 3) communicate
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with students and teachers through websites; and 4) other e-learning
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activities. The index of professional purposes includes two items: 1)
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search or apply for a job through Internet; and 2) participate in
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professional networks. Lastly, in order to measure political and civic
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participation two indexes are proposed. First, the index includes three
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items from the INE dataset: 1) reading news online; express opinions
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about social, civic and political topics; and 3) participate in online
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enquiry or vote about civic and political topics. Second, the index
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includes six items from the CIS dataset: 1) contact with a politician or
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political party; 2) communication with an association or organization;
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3) subscribe to a list about current affairs; 4) write comments about
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social and political topics; 5) donation to association/ organization;
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and 6) sign a petition or join a campaign.
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The analytical strategy first includes a descriptive analysis of the
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dependent variables, comparing how different social categories use
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Internet and participate online. Second, we carry out regression
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analyses to discover which of the different independent variables (level
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of education, age, sex, size of habitat, employment status and income)
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better predict the use of internet for capital-enhancing activities and
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online political and civic participation.
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Regarding access, although it is true that Internet access has become
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widespread, in 2019 more than 10\% of households do not have access to
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the Internet at home. The analysis of why household are not connected
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shows that motivational access (attitudes towards Internet) is the most
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frequent explanation for this trend. In 2019, among those habitants
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living in households without Internet, more than 75\% explains that they
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don''t need Internet and more than 50\% considers they don''t have enough
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knowledge to use it. This motivational access is indeed stratified:
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these reasons are more frequent in rural areas and in poorer families.
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Other motives also mentioned, although to a lesser extent (around one in
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four), are related to economic difficulties (costs of equipment and
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connection). Finally, difficulties of access to broadband internet
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connections, especially in rural areas, also are mentioned.
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Regarding use, Internet is widespread among young and more educated
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population (99\% of people aged 16 to 24 and with tertiary education in
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2019) but it is remarkable the expansion among old people (almost
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two-thirds of those aged 65 to 74 have accessed Internet in the last
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three months). Similar trends of diffusion of the Internet use could be
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observed in all levels of education and size of habitat. The only group
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where non-Internet outnumbers Internet users in 2019 are people who have
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not finished primary education. Finally, it is remarkable how the gender
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gap has disappeared in 2019.
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Regarding capital-enhancing activities in Internet, the data confirm the
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so-called ``Matthew effect{''''} (Merton, 1968), or ``rich get richer
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effect{''''}, that is, the most beneficial Internet uses in order to
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improve social status are practiced by people who already occupy a
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well-off position in the offline world. This result is in line with
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previous studies (Di Maggio et al. 2004, Hargittai and Hinnats 2008).
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This is especially the case when Internet is used for educational
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purposes or for creating contacts in professional networks. Regarding
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the use of Internet for educational purposes, regressions show that this
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activity is more widespread among younger, more educated people and
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students. Regarding professional purposes, as expected, the unemployed
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is the group who uses more often the web when they search for a job, but
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also the most educated and youngest people use the Internet most
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frequently to improve their job position. Nevertheless, regressions show
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a negative association between family income and the use of Internet for
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professional purposes. Further research is needed to explain which
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channels use the better off people to improve their professional status.
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Lastly, the results on online civic and political participation
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corroborate that the groups with the greatest involvement coincide with
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those with higher traditional participation. Regressions show that sex,
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level of education, age and income are the most important predictors of
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political participation: men, the more educated, younger and the better
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off participate more online than women, the less educated, older and the
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economic disadvantage population. Nonetheless it can also be observed
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that online participation gives space to new activism, at least to some
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extent. Some groups less involved in the conventional channels of
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political participation take a more active role here, such as students
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and people aged 16 to 24.
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Our findings confirm the hypothesis that those who are taking more
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advantage of the digital world are the same people who are better
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situated in the offline world. In our analysis, two variables stand out
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above all as the most relevant: educational level and age. Other
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variables are relevant, although to a lesser extent: employment status,
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income, size of habitat and gender. These findings confirm previous
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research carried out in Spain focused on the distinction between
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Internet users or not (Robles and Molina 2007, Robles and Torres-Albero
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2012). The results also corroborate recent research on the second gap in
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Spain, although this second gap was previously measured focusing on
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other activities such as e-shopping (Torres Albero 2017).
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Further research is needed to study how the material access impact in
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Spanish digital divide. That is, we need to focus on aspects as
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differences in device-related opportunities, device and peripheral
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diversity and maintenance expenses of devices and peripherals (van
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Deursen and van Dijk 2019). It is also needed to study other
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capital-enhancing activities and to compare if those groups more
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involved these types of activities are at the same time more involved in
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recreational activities.
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This work shows that, even though the Internet is widespread, the uses
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that could be more beneficial for the social position of the users are
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more frequent among people who already occupy a good social position in
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the offline world. Internet itself does not causes social exclusion, but
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digital inequalities reinforce the inequalities of the offline world if
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authorities do not act. These findings have clear political
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implications. First, public authorities should concentrate on those
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social groups with more negative attitudes towards Internet because the
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motivational access is the first step of the appropriation process (van
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Deursen and van Dijk 2019). Second, an effort should be made to improve
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material access in disadvantaged areas and groups. Third, digital
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alphabetization (increasing digital skills) is needed in order to
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decrease the ``Matthew effect{''''}, so disadvantaged groups could use
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Internet to improve their social status.'
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affiliation: 'Garcia-Faroldi, L (Corresponding Author), Univ Malaga, Malaga, Spain.
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Garcia-Faroldi, Livia, Univ Malaga, Malaga, Spain.'
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author: Garcia-Faroldi, Livia
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author_list:
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- family: Garcia-Faroldi
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given: Livia
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da: '2023-09-28'
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files: []
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issn: 0213-7585
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journal: REVISTA DE ESTUDIOS REGIONALES
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keywords: 'Digital divide; E-learning; Civic participation; Political
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participation; Professional networks'
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keywords-plus: POLITICAL-PARTICIPATION; DIVIDE; ACCESS; SKILLS
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language: Spanish
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month: MAY-AUG
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number: '124'
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number-of-cited-references: '38'
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orcid-numbers: García-Faroldi, Livia/0000-0001-7816-7562
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pages: 73-100
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papis_id: c7f3162ac0742e8e52f7c4b3c6c30d90
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ref: Garciafaroldi2022digitalinequality
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researcherid-numbers: García-Faroldi, Livia/AAC-6753-2022
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times-cited: '0'
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title: 'Digital inequality in Spain: The differentiated adoption of beneficial uses
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of Internet (2017-2019)'
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type: Article
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unique-id: WOS:000885976800003
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usage-count-last-180-days: '16'
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usage-count-since-2013: '19'
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web-of-science-categories: Environmental Studies
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year: '2022'
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