No abstract

No abstract

Ageism is the most invisible form of discrimination. While there is some awareness of gender, racial, and socioeconomic discrimination on digital platforms, ageism has received less attention. This article analyzes some tools that are frequently embedded on digital platforms from an old-age perspective, in order to increase awareness of the different ways in which ageism works. We will firstly look at how innovation teams, following homophilic patterns, disregard older people. Secondly, we will show how ageism tends to be amplified by the methods often used on digital platforms. And thirdly, we will show how corporate values contradict the usability issues that mainly affect people with a low level of (digital) skills, which is more common among older people. Counterbalancing the abusive power control of the corporations behind digital platforms and compensating for the underrepresentation of groups in less favorable situations could help to tackle such discrimination.

<p>This paper analyzes how older people, living in Spain, use smartphones and smartphone applications. Using a mixed methods approach, we compare quantitative results obtained by tracking mobile app usage amongst different generational samples with qualitative, focus-group discussions with active smartphone users. A sample of Spanish smartphone users were tracked during one month in the winter of 2014 (238 individuals, aged 20 to 76 years-old). This was followed by three focus group sessions conducted in the spring of 2015, with 24 individuals aged 55 to 81. As we learned, WhatsApp is currently the most popular application used by people of all ages, including older adults. Smartphones increasingly are playing a central role in the life of older participants, although the frequency of app access is negatively correlated with age. On the other hand, as our data indicates, older adults also use a number of different types of apps that are distinct from that of younger users. Older participants access personal information manager apps (calendar, address book and notes) more often than other age groups. And comparatively, older participants use the smartphone less often in stable locations (home, office, relatives’ home) with Wifi than somewhere else and with mobile data. As we argue, differences in age seem to reflect the evolution in personal interests and communication patterns that change as we grow older. Our study captures new trends in smartphone usage amongst this cohort. It also indicates how a combination of methods may help to assess the validity of the log and qualitative data. We highlight the relevance of conducting careful generational studies in smartphone use and some of the potentials and limitations of making predictive studies of ICT use as we change throughout the life course. Finally, we assert the value of the inclusion of older representatives within research, which ultimately may influence public decisions and the design of new technologies.</p>

In the context of an international research project on older people’s relations with and through mobile telephony, Italian participants spontaneously provided narrations on mobile phones that appeared to be structured around strong stereotypes. Respondents show a twofold representation of mobile phones either as a simple communication tool or as a ‘hi-tech’ device, which generates multifaceted stereotypes. More specifically, when the mobile phone is considered as a simple communication tool, age-based stereotypes address younger people’s bad manners, while gendered stereotypes depict women as ‘chatterboxes’ or ‘social groomers’. On the other hand, when the mobile phone is considered a ‘hi-tech’ device, age-based stereotypes underline younger people’s advanced user skills, while gendered stereotypes focus on women’s lack of competencies. Based on that, we provide a conceptual framework for analysing such stereotyped – and apparently conflicting – representations. Interestingly, while some issues also emerged in other countries, the masculine assumption that women are less-skilled mobile phone users appears as a peculiarity of Italian respondents.