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Social networking sites (SNSs) might be important tools to contrast social exclusion in old age. However, the so-called gray digital divide (GDD) may undermine the potentialities of SNSs. Despite its relevance, there is very little research, which documented the characteristics of the digital divide in SNS use among the old-age population in Europe. Drawing on the “ material access in resources and appropriation” theory developed by van Dijk, this work contributes to consolidate the body of research, documenting the nature of the GDD in SNS use in Europe and evaluating the role that older people’s categorical, personal, and positional characteristics together with ICT characteristics play in gaining access to digital technologies. We analyze data from the 2013–2016 Eurostat Community Statistics on Information Societies (CSIS) survey and perform bivariate and multilevel regression analysis. Key findings are (i) the persistence of the intergeneration digital divide in old age together with the marked cross-countries differences in SNS use across European countries and over time and (ii) the stability over old-age generations, countries, and time of the positional categories associated with SNS use in old age, providing further empirical support to van Dijk’s theory.

Despite older people's increasing use of social media (SM), there is relatively little research investigating the impact of SM use on wellbeing in the ageing population. This study investigates the relationship between SM use and life satisfaction, a key dimension of wellbeing, in three age groups. We focus on the Italian case, which is particularly relevant because Italy is one of the countries both with the highest incidence of older people and the lowest uptake of SM in Europe. Applying linear regression modelling techniques, we analyse data from the 2018 Multipurpose Survey – Aspects of Everyday Living, a large probability-based household survey. For two age groups, we find a positive relationship between SM use and life satisfaction which weakens after controlling for older people's demographic and socio-economic characteristics, health conditions and social network characteristics. Given the grey digital divide that still exists in some European countries, we conclude with a call for urgent interventions to remove the hurdles that prevent frail older people from enjoying the benefits of an active ageing, fully exploiting the potential of SM use.

Introduction An ageing society poses unprecedented challenges to societies. Information and Communication Technologies (ICTs), including Social Networking Sites (SNSs), may contribute to contrast loneliness and social isolation in old age. Despite of the potentialities of SNSs, there is only a handful of studies assessing the causal relationship of SNS use and older people's well-being. This paper aims to provide further evidence on the design of randomised controlled trials exploring the causal impact of SNS use on loneliness and social isolation in old age. Methods and analysis The Aging in a Networked Society-Social Experiment Study (ANS-SE) is a randomised controlled trial conducted on people aged 75 and over residing in a town located in the Milan area (Italy) aiming to assess the impact of SNS use on loneliness and social isolation (i.e. the primary outcomes of this study). The study is constituted of two stages, i.e. the baseline and the follow up. The experiment is structured into one treatment group and two control groups; the interventions are the attendance to a course on SNS use (T1) and lifestyle education and brain functioning (C1). The inactive control group (C) is constituted of a waiting list. We will perform bivariate and regression analysis. Ethics and dissemination The study has been approved by the Ethic Committee of the University of Milano Bicocca (prot. 431/2019) and was registered at Clinical Trials.gov (NCT04242628). Written consent was obtained from all respondents. Results from the study will be discussed with the local community and stakeholders, presented in national and international conferences and published in leading peer-review journals. The consent forms, the anonymised dataset, and the relevant statistical codes will be deposited with the Italian Unidata archive, also in charge of releasing the data to the public, upon a short embargo period.

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