Digital inclusion for ethnic, elderly and disabled populations is key for social inclusion

Date published:



Panayiota Tsatsou, University of Leicester

Key takeaways:

How can we better include vulnerable populations in the digital domain and make more sense of their cultural and social specificities? This research explores the factors that determine the digital inclusion of vulnerable populations and the role of digital inclusion in those populations’ social inclusion. The research prompts us to trial the development of spaces such as ‘social labs,’ where vulnerable people alongside policy, industry and third sector stakeholders work together to agree on holistic policy solutions for vulnerable people’s digital inclusion, including solutions that will go beyond each vulnerable population’s demographics.

Methodology and Methods:

The study was conducted in the UK and involved focus groups with three categories of vulnerable populations: ethnic minorities, older people, and people with disabilities.

Case study:

This research was conducted at the University of Leicester and explored the factors that determine the digital inclusion of vulnerable populations and the role of digital inclusion in those populations’ social inclusion.
The research found that in spite of a diversity of digital habits — for example, a spectrum ranging from the heavy use of, to a self-perceived stigma against assistive technologies by people with disabilities — vulnerable people’s attitudes align across similar cultural structures and frameworks, which drive associated inequalities in society. This extends the notion of intersectionality — a term coined in 1989, which focuses on the interlocking systems of power and oppression and how those systems impact the most marginalised members of society. More specifically, the study shed light on some of the mechanisms of intersectionality in the digital domain and reports that the positioning of vulnerable populations in the digital domain goes beyond their demographics and is driven by individual preferences, life circumstances (especially life changes and periods of transition), and social stigma. This finding suggests that for ethnic minorities and older people, while demographics such as nationality and age are commonly referred to in discussions about digital inclusion, they are forces of established cultures and lifestyles that themselves shape ethnic minorities’ and older people’s digital inclusion.
Regarding people with disabilities, the disability-derived social stigma these people experience (and not so much the medical aspect of their disability) is what determines their positioning and rate of digital inclusion. Conclusion and practical implications The findings of the research suggest that seemingly distinct population categories and types of vulnerability are, somewhat surprisingly, constructed by the same or very similar cultural and stigma-related societal structures and frameworks. These structures and frameworks then drive inequalities in society and within the digital domain alike.
The study findings point to the need for researchers and practitioners to make more sense of vulnerability’s cultural and social specificities in the digital domain. A better understanding of such specificities can help governments and other bodies that seek to build digital inclusion to reduce focus on demographics in favour of a more nuanced and holistic qualitative approach. This is important, as previous UK-wide guidance published in the UK’s last Government Digital Inclusion Strategy targeted specific demographic groups, with projects to help people benefit from the internet and other digital technologies. On the whole, these findings can help research actors, practitioners, and policymakers to:
1. Measure or unpack the severity and impact of digital inequalities and/or discrimination on people who are considered vulnerable in the social domain;
2. Decide on multi-directional action that will tackle different areas and sectors of discrimination of vulnerable people in the digital realm at once and for more than one single population category or group;
3. Provide an initial response to the policy problem which suggests that multiple and intersectional forms of discrimination are not embraced by today’s rather dominant neoliberal law and governmental policies that apply to society at large, but also in the digital realm.