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In this article, we show how circulated diaries can be used as a source of knowledge about the display and normative standards of family life. The par ticular strength of the data lies in the circulation among members of a local public before reaching the researcher. This keeps researcher intervention low, while the data remain socially and culturally saturated. In addition, the method allows for comparative cultural research, which is illustrated by the examples taken from Norway and China. Having two sets of data from different contexts adds to the richness of the data by providing a contrast that is needed to illuminate the taken-for-granted.

PurposeLoneliness' impact on health and wellbeing has emerged as a public health issue in several countries. Young people are increasingly understood as a 'risk group' and intervention target for loneliness-reduction. This research paper aims to present a discourse analysis of policies and political speech about young people and loneliness.Design/methodology/approachUsing discourse analysis inspired by Carol Bacchi's "What is the Problem Represented to Be" (WPR) approach, this cross-cultural analysis studies loneliness policy in the United Kingdom (UK) and Norway. In doing so, the authors ask: What is the problem of loneliness among young people represented to be in UK and Norwegian welfare policy?FindingsThe findings indicate paradoxical problematizations of the role technology plays among lonely young people, who, in this context, are divided in two categories: able normative and disabled youth. We reveal fundamental differences in beliefs about the impact of technology on these groups, and corresponding differences in the proposed solutions. The problem of young peoples' loneliness is represented as uncertainty about potential harms of digital connectedness and reduced face-to-face interactions. In contrast, the problem of loneliness among disabled youth is represented as impeded access to social realms, with technology serving a benign role as equalizer.Originality/valueLittle research has examined this new policy field. The article contributes to filling this gap and encourages policymakers to consider how political discourses on loneliness may lead them to overlook digital interventions young people could find beneficial.

Information-driven automated systems that deliver services proactively to citizens in need are heralded as the next level of digital government. There is, however, concern that such systems make welfare services less accessible to some citizens. This study uses the case of Norway's child benefit system to discuss the general obstacles to having welfare policies implemented by proactive digital systems. Norway's automated child benefit system uses data from Norway's national resident register to award this benefit to eligible parents whom the system identifies. As such, it is representative of many government systems that use registry data to perform tasks previously done by caseworkers. While the eligibility rules for child benefits are simple, and the register has sufficient data to automate most cases, many parents are not awarded the benefit automatically. This article argues that when developing automated digital services, public administrators are faced with a trilemma. Ideally, proactive automation should be (1) precise in its delivery, (2) inclusive of all citizens, and (3) still support welfare-oriented policies that are independent of the requirements of the digital system. However, limitations with each requirement prevent all three from being realized at the same time. Only two can be simultaneously realized: a public administrator must decide which of them to forego. Consequently, automated services cannot meet all the expectations of policymakers regarding the benefits of digital government. Instead, governments need to find ways of utilizing the benefits of public digitalisation without infringing on citizens' right to be treated equally and fairly by the government.

Information-driven automated systems that deliver services proactively to citizens in need are heralded as the next level of digital government. There is, however, concern that such systems make welfare services less accessible to some citizens. This study uses the case of Norway's child benefit system to discuss the general obstacles to having welfare policies implemented by proactive digital systems. Norway's automated child benefit system uses data from Norway's national resident register to award this benefit to eligible parents whom the system identifies. As such, it is representative of many government systems that use registry data to perform tasks previously done by caseworkers. While the eligibility rules for child benefits are simple, and the register has sufficient data to automate most cases, many parents are not awarded the benefit automatically. This article argues that when developing automated digital services, public administrators are faced with a trilemma. Ideally, proactive automation should be (1) precise in its delivery, (2) inclusive of all citizens, and (3) still support welfare-oriented policies that are independent of the requirements of the digital system. However, limitations with each requirement prevent all three from being realized at the same time. Only two can be simultaneously realized: a public administrator must decide which of them to forego. Consequently, automated services cannot meet all the expectations of policymakers regarding the benefits of digital government. Instead, governments need to find ways of utilizing the benefits of public digitalisation without infringing on citizens' right to be treated equally and fairly by the government. ; This research for this paper was co-financed by the Norwegian Labour and Welfare Administration (NAV) and the Research Council of Norway [grant number 289920] as part of the Public Sector Ph.D. scheme. ; publishedVersion

Information-driven automated systems that deliver services proactively to citizens in need are heralded as the next level of digital government. There is, however, concern that such systems make welfare services less accessible to some citizens. This study uses the case of Norway's child benefit system to discuss the general obstacles to having welfare policies implemented by proactive digital systems. Norway's automated child benefit system uses data from Norway's national resident register to award this benefit to eligible parents whom the system identifies. As such, it is representative of many government systems that use registry data to perform tasks previously done by caseworkers. While the eligibility rules for child benefits are simple, and the register has sufficient data to automate most cases, many parents are not awarded the benefit automatically. This article argues that when developing automated digital services, public administrators are faced with a trilemma. Ideally, proactive automation should be (1) precise in its delivery, (2) inclusive of all citizens, and (3) still support welfare-oriented policies that are independent of the requirements of the digital system. However, limitations with each requirement prevent all three from being realized at the same time. Only two can be simultaneously realized: a public administrator must decide which of them to forego. Consequently, automated services cannot meet all the expectations of policymakers regarding the benefits of digital government. Instead, governments need to find ways of utilizing the benefits of public digitalisation without infringing on citizens' right to be treated equally and fairly by the government.

In this article, we demonstrate how the cultural conceptions of a team of five researchers from different cultural and national backgrounds can be used as a source of knowledge during a collective, self‐reflexive analytical process. While collectively analysing texts describing daily life produced by first‐grade children and their parents in China, Norway, South Africa and the United States, the research team engaged in a collectively negotiated analytical process, which we refer to as an 'analytic negotiating method'. The strength of this process rests on the ability to examine critically the boundaries between the researcher's contextual conceptions and conceptions derived from the texts. Engaging in this kind of negotiated analytical process contributes to scholarship by working towards a level of self‐reflexivity that makes the link between empirical data and researcher interpretation more transparent and produces a sensitivity to context that allows insights into the conceptions of childhood that operate cross‐culturally.