Identifying and understanding digital exclusion: a mixed-methods study

Abstract

ABSTRACT Many of our transactions and interactions are now exclusively online; however, whilst we live in a world which is becoming ubiquitously digital, digital exclusion remains a complex societal issue. This study aimed to identify the scale and characteristics of ‘digitally excluded’ individuals in one borough in North East England and investigate factors influencing experiences of digital exclusion. A two-phase, sequential explanatory mixed-methods design was used. Phase One utilised a survey which was sent to every household in the borough (N = >98,000). The surveys (N = 9181) were analysed using exploratory univariate analysis, followed by a two-staged regression model. Of those responses, 1130 individuals (12.3%) were identified as digitally excluded. Older adults with disability, no or low-level education, and residing in specific (micro) geographical areas, were at higher risk of digital exclusion. Smaller household sizes and lower income also contributed to digitally exclusion. To further enhance inclusivity, three focus groups were conducted with groups who were identified as being at higher risk of digital exclusion (N = 10). Discussions highlighted the complexities of digital exclusion and digital use across communities and within individual circumstances. Digital exclusion is multi-factored and complex. It requires regional institutions and local communities to collaborate in an integrated governance framework to improve digital inclusion.