Continued and frequent use of social network sites (SNS) has been linked to a fear of missing out (FOMO) and online self-promotion in the form of friending and information disclosure.The present paper reports findings from 506 UK based Facebook users (53% male) who responded to an extensive online survey about their SNS behaviours and online vulnerability.

Based on the idea of computers constituting social agents and referring to core characteristics of human-human relationships, this study introduces the concept of a digital companionship between smartphone users and their devices. Constituting characteristics (closeness, trust, preoccupation) and outcomes (stress, coping with stress) of social relationships were adapted to yield a model of human-smartphone relationships for empirical testing. A cross-national sample of participants (n = 1156) completed an online study which included self-report measures as well as a newly developed instrument (Positioning Others and Devices; POD) assessing the closeness to technical devices and social actors. Results showed the smartphone to be the closest device. Further, structural equation modelling lent support for the theoretical model indicating that trust and preoccupation mediate the relationship between closeness to the smartphone and stress and coping. Findings support the concept of companionship as a fruitful approach to explain smartphone-related behaviors.

The present study examines how the use of social network sites (SNS) increases the potential of experiencing psychological, reputational and physical vulnerability online. From our theoretical perspective, concerns over the use of social network sites and online vulnerability stem from the ease with which users can amass large and diverse sets of online social connections and the associated maintenance costs. To date most studies of online vulnerability have relied on self-report measures, rarely combining such information with user's validated digital characteristics. Here, for a stratified sample of 177 UK-based Facebook users aged 13 to 77, digitally derived network data, coded for content and subjected to structural analysis, were integrated with self-report measures of social network heterogeneity and user vulnerability. Findings indicated a positive association between Facebook network size and online vulnerability mediated by both social diversity and structural features of the network. In particular, network clustering and the number of non-person contacts were predictive of vulnerability. Our findings support the notion that connecting to large networks of online 'friends' can lead to increasingly complex online socialising that is no longer controllable at a desirable level.

In this paper, we describe a procedure to promote active participation in online courses by supporting students in performing the role of an e-Tutor during group activities. A case-study, conducted to explore the procedural effects both on students' interactions and on their perceptions about the role, is discussed. Eighteen university students (67% female, Mean Age = 23 years) took part in online collaborative learning activities as part of a 15 week blended learning course. Twelve participants took turns in covering the role of e-Tutor. Findings were based on a mixed methods analysis of 7,105 contributions posted online by the 18 students. An analysis of e-Tutor self-assessment forms was also considered. Results indicated that utilizing peer-based e-Tutors promoted substantial active participation in online discussions. Moreover, students performing the role of e-Tutor adopted a supportive, collaborative and educational style, which was maintained even after their turn as e-Tutor had ended.

Social networking is a digital phenomenon embraced by billions worldwide. Use of online social platforms has the potential to generate a number of benefits including to well‐being from enhanced social connectedness and social capital accumulation, but is also associated with several negative behaviours and impacts. Employing a life‐course perspective, this paper explores social networking use and its relationship with measures of subjective well‐being. Large‐scale UK panel data from wave 3 (2011–12) and 6 (2014–15) of Understanding Society reveals that social network users are on average younger, aged under 25, but that rising use is reported across the life‐course including into old age. Probit, multinomial logistic, and ANCOVA and change‐score estimations reveal that membership, and greater use, of social networks is associated with higher levels of overall life satisfaction. However, heavy use of social networking sites has negative impacts, reflected in reductions in subjective well‐being. Socio‐economic disadvantage may drive these impacts among young (in education), unemployed and economically inactive heavy SNS users.