Developing a methodology for using machine learning techniques to follow online mental health and well-being discourse among young people and adolescents to inform programming

Our nine-month project builds upon pre-existing work carried out by UNICEF in Ukraine in 2021-22 to use machine learning techniques to follow online mental health and well-being discourse among young people and adolescents. Our aim in this project is to take a more participatory approach with adolescents and young people.

Mental HealthData for Children Collaborative with UNICEF11 September 2023Social Media MH

Prevention of adolescent mental health conditions: is technology a possible source for good?

Approximately half of all poor mental health conditions manifest by early adolescence, and available evidence suggests that around 10 to 20 percent of children and adolescents experience one of these conditions. However, serious data gaps remain around the magnitude of the problem, and what countries can do about it.

Mental HealthData for Children Collaborative with UNICEF13 May 2021Tech a Possible Source for Good