There are significant ethical implications in the adoption of technologies and the production and use of the resulting data for evidence generation. The potential benefits and opportunities need to be understood in conjunction with the potential risks and challenges. When using social media to directly engage children and their communities, or when establishing partnerships with these organizations for data collection and analysis, adoption of these technologies and their resultant data should not be exclusively driven by short-term necessity but also by the long-term needs of our younger partners. When engaging with social media and indeed most technology, thoughtfulness, reflection and ongoing interrogation is required. This paper examines the benefits, risks and ethical considerations when undertaking evidence generation: (a) using social media platforms and (b) using third-party data collected and analysed by social media services. It is supplemented by practical tools to support reflection on the ethical use of social media platforms and social media data.
As of January 2017, 2.78 billion people worldwide were classified as active social media users. Of these users, 1.87 billion use Facebook. Thirty-nine per cent of Facebook users are between the ages of 13 and 24 (approximately 729 million young people). Available data also show that in 2014, approximately 31 per cent of users of the top five social media platforms were aged between 16 and 24 years. With the enormity of this coverage as well as over 40 per cent growth in usage from the previous year in countries like India, UNICEF has and continues to look at ways to use these platforms and the data generated to connect with and understand the reality of children today and to ensure more child-centred/user-centred policies and services. This brief provides an overview of the critical ethical considerations when undertaking evidence generation using social media platforms and using third-party data collected and analysed by social media services. It is supplemented by checklists that may be used to support reflection on the ethical use of social media platforms and social media data. This brief is based on a more in-depth Innocenti Discussion Paper which provides further guidance and tools.
We rely on a unique precrisis baseline and five-year follow-up to investigate the effects of emergency school feeding and general food distribution (GFD) on children’s schooling during conflict in Mali. We estimate programme impact on child enrolment, absenteeism and attainment by combining difference in differences with propensity score matching. School feeding led to increases in enrolment by 11 percentage points and to about an additional half-year of completed schooling. Attendance among boys residing in households receiving GFD, however, declined by about 20 per cent over the comparison group. Disaggregating by conflict intensity showed that receipt of any programme led to rises in enrolment mostly in high-intensity conflict areas and that the negative effects of GFD on attendance were also concentrated in the most affected areas. Conversely, school feeding mostly raised attainment among children residing in areas not in the immediate vicinity of the conflict. Programme receipt triggered adjustments in child labour. Thus, school feeding led to lower participation and time spent in work among girls, while GFD raised children’s labour, particularly among boys. The educational implications of food assistance should be considered in planning humanitarian responses to bridge the gap between emergency assistance and development by promoting children’s education.
The objective of this evidence gap map (EGM) is to provide an overview of the existing evidence on the effectiveness of interventions (at the macro, meso and micro levels) aimed at improving adolescent well-being in low- and middle-income countries (LMICs). Its focus is on the outcome domains of protection, participation and financial and material well-being. Outcomes relating to the enabling environment for adolescents are also included to capture the contextual influences that might affect the well-being of adolescents.
This study protocol outlines the criteria used to consider studies for inclusion in the EGM. Only studies that are explicitly impact evaluations or systematic reviews were included and the target study population were adolescents aged 10 to 19 years. The geographic scope were LMICs as defined by the World Bank and all relevant studies written in English, French and Spanish, and published from the year 2000 onwards were included. The research team employed long-form or short-form search strategies, with search terms formulated around the proposed population, intervention, outcome, geographical focus and research design categories. The interactive EGM is available online at www.unicef-irc.org/evidence-gap-map. The EGM report is available at https://www.unicef-irc.org/publications/931/
This evidence gap map (EGM) collates the evidence base for adolescent interventions in low- and middle-income countries (LMICs), with a focus on the outcome domains of protection, participation and financial and material well-being. Outcomes relating to the enabling environment for adolescents are also included to capture the contextual influences that might affect the well-being of adolescents. The EGM contains 74 studies (71 impact evaluations and 3 systematic reviews) of evaluated interventions targeting adolescents in LMICs. Most of the evidence is on financial support to individuals and households, where interventions predominantly include conditional cash transfers, and studies frequently evaluate their impacts on child labour and child marriage outcomes. The second largest evidence cluster relates to the impacts of socio-emotional learning and life skills on adolescent protection, particularly protection-related attitudes, skills and knowledge, while psychosocial support is the third most frequently appearing intervention. At the group and community level, the largest bodies of evidence are on financial literacy and savings schemes, and norm change interventions.
The largest evidence gaps are at the policy and institutional level, the enabling environment for adolescent well-being, and the use of and access to information and communication technology (ICT) by adolescents. While coverage of gender is prominent in the literature, only one intervention specifically targets boys and men to promote attitudes towards gender equity. Recommendations for future primary research and synthesis are made. The interactive EGM is available online at www.unicef-irc.org/evidence-gap-map.
The economic status of households can and does affect the health and well-being of adolescents. To address the intersection between economic deprivations and broader development goals, including health and well-being, governments, aid agencies and non-governmental organizations (NGOs) have begun to include economic strengthening interventions as part of their core programming. This brief presents strategies for examining the multidimensional effects of economic strengthening interventions with a specific focus on the health and well-being of adolescent beneficiaries, highlighting research gaps and opportunities.
UNICEF Office of Research – Innocenti has worked on research related to support for families and parents since 2013. In particular, Innocenti supported research on the Sinovuyo Caring Families Programme for Parents and Teens, by partnering with Oxford University in doing qualitative research that examined service delivery mechanisms and implications for taking it to scale.
The paper discusses how living in poverty affects relationships between parents and children. Meeting the basic economic needs of a family is the priority for parents, who then have limited time, energy and resources to devote to their children. We also found that children exposed to violence in the home are also frequently exposed to corporal punishment at school.
Adolescence is a time of transitions when experimentation, risk taking and active peer interactions can be viewed as a part of the development process. Yet, for some groups of young people with reported poor psychosomatic health, low life satisfaction or unhealthy eating habits these experiences may be different.