What do we know about youth's access to and use of digital technologies?

AuthorEuropean Institute for Gender Equality (EU body or agency)
Pages25-45
3. What do we know about youths access to and use of digital technologies?
25
Gender equality and youth: opportunities and risks of digitalisation
3. What do we know about youth’s access
to and use of digital technologies?
(29) https://ec.europa.eu/eurostat/cache/metadata/en/isoc_i_esms.htm
This section presents an over view of quantitative
data and findings from literature on how young
people access digital technologies and how those
technologies are used for social and political par-
ticipation. It also includes an analysis of available
data on the risks experienced by young women
and men when using digital media. The insights
on data gaps are presented in Annex III: Analysis
of current data gaps.
3.1. How and why do youth use
digital technologies?
Understanding access to digital technologies, or
lack thereof, is important, as research has shown
that gradations in frequency of internet use (from
non and low frequency users through to weekly
and daily users) are found to map well onto a pro-
gression in the take-up of online opportunities
among young people (from basic through mod-
erate to broad and then all-round users). Differ-
ences in internet use matter, as they contribute
to inclusion and exclusion (Livingstone & Helsper,
2007; Ólafsson, Livingstone, & Haddon, 2014).
On the one hand, digital inclusion or exclusion
often mirror some of the struc tural inequalities
observed in other areas of society (for example,
people with a lower level of education having
lower access to information and participation).
On the other hand, social inequalities intersect
with divides in digital access and result in dispar-
ities in online activities, with children who have
a greater autonomy of use and longer online ex-
perience also using the internet for a wider range
of activ ities (Mascheroni & Ólafsson, 2016).
Demographic, use and exper tise variables are
all shown to play a role in accounting for varia-
tions in the breadth and depth of internet use.
The literature supports the idea that beyond ac-
cess, a set of attitudes and wider know-how af-
fects digital skills and therefore digital participa-
tion (Correa, 2016; Livingstone & Helsper, 2007).
Overall, access to and use of digital technlogies
goes hand in hand with the level of an individu-
als digital skills and their motivation to use and
enhance those skills.
Gender is an important factor to both levels
and types of digital skills
Digital societies require digital competence in or-
der to ensure full participation. As increasingly rec-
ognised, digital par ticipation in society depends
not so much on access itself, but rather on digital
competence and the opportunities that come with
it (Ferrari, 2017). A debate on which digital com-
petencies are essential to this participation, none-
theless, is not settled, par tially due to the fast pace
of digitalisation and partially due to the diversity
of concepts or lack of comparable data.
Across the various concepts used to define digital
skills (Meri-Tuulia, Antero, & Suv i-Sadetta, 2017 ),
evidence in this sub-section is anchored on the
performance-based digital-skills indicators. Ac-
cording to Eurostat (29), an indicator based on se-
lected activities in using digital technologies can
be considered a proxy for the digital competen-
cies and skills of individuals (see more in Annex
II, Proposed list of BPfA indicators). The overall
digital-skills indicator measures performance in
four specific areas.
1. Information skills (e.g. retrieve, analyse and
judge information).
2. Communication skills (e.g. share resources,
link and collaborate with others through dig-
ital tools, cross-cultural awareness).
3. What do we know about youths access to and use of digital technologies?
European Institute for Gender Equality26
3. Problem-solving skills (e.g. make informed de-
cisions on the most appropriate digital tools,
solve conceptual and technical problems, up-
date own and others competence).
4. Software skills for content manipulation (e.g.
create and edit new content, produce creative
expressions, media outputs and program-
ming, deal with licences).
Young people in the EU are the most digitally
skilled generation, with 56 % of women and 58 %
of men aged 16-24 holding above-basic digital
skills and the rest of those aged 16-24 having
basic or low digital skills or their skills could not
be assessed. In comparison, around one third of
the population aged 25-54 have above-basic dig-
ital skills, whereas the others in this age group
tend to have either low or basic digital skills. The
digital-skill levels are counted in such a way that
those with above-basic digital skills are able to
perform more than one activity out of four areas
of digital activities, whereas those with, for exam-
ple, low digital skills have no skills in one to three
of the four areas. Figure 1 shows that the digital
inclusiveness of our societies still has consider-
able barriers that need to be removed. A large
part of the EU youth (and even more so in other
age groups) would benefit from improving their
skills (up-skilling).
The level of digital skills of the EU youth, as not-
ed in 2017, shows a fast-improving situation, with
a somewhat faster pace observed for men than
for women. In just a couple years, from 2015
to 2017, the share of women aged 16-24 with
above-basic digital skills increased by 4 percent-
age points and that of young men by 7 percent-
age points. Similarly, the share of the population
in older age groups (25-54) having above-basic
Figure 1: Levels of digital skills of individuals, by sex and age group (EU-28, %, 2015, 2017)
15 15
27 25
15 15
26 24
26 23
30 27
30 29
31 29
56 58
33 38 52 51 30 34
0
20
40
60
80
100
Women Men Women Men Women Men Women Men
16-24 25-54 16-24 25-54
2017 2015
No skills Low Basic Above basic Could not be assessed
Source: Eurostat, ISOC [isoc_sk_dskl_i].
NB: Digital skills are measured in relation to performed activities across 4 domains of digital competencies: information,
communication, problem-solving and software skills. Individuals with above-basic level of skills display such levels of skills in
all four domains; individuals with a basic level of skills have at least one basic levels of skills across four domains; individuals
with low level of skills miss some type of basic skills, i.e. have from one to three no skills across four domains; individuals
with no skills did not perform any activities across all four domains, despite declaring having used the internet at least once
during the last 3 months. Digital skills could not be assessed for those individuals who have not used the internet in the last
3 months. For this gure, EIGE has used numerical data rounded to zero decimals by Eurostat and therefore percentages
might not add up to 100 %.

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