All Project Outputs

Project Outputs, Knowledge Exchange Data for Children Collaborative with UNICEF Project Outputs, Knowledge Exchange Data for Children Collaborative with UNICEF

Executive Summary: Developing a methodology for using AI to identify social media discussions on mental health and well-being

Executive summary: We supported UNICEF in exploring innovative ways to understand online mental health and well-being discourse. Our project looked at using AI to identify online discussions of young people on mental health, combining focus group input, annotated datasets, and experiments with large language models (LLMs) in English and Russian.

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Project Outputs, Knowledge Exchange Data for Children Collaborative with UNICEF Project Outputs, Knowledge Exchange Data for Children Collaborative with UNICEF

Presentation: Developing a methodology for using AI to identify social media discussions on mental health and well-being

This presentation, prepared by Dr Clare Llewellyn, a lecturer in Governance, Technology and Data at the University of Edinburgh, outlines the methods and key findings of our project with UNICEF which investigated developing a methodology for using AI to identify social media discussions on mental health and well-being from young people and adolescents.   

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Project Outputs, Knowledge Exchange Data for Children Collaborative with UNICEF Project Outputs, Knowledge Exchange Data for Children Collaborative with UNICEF

Infographic: Developing a methodology for using AI to identify social media discussions on mental health and well-being

Infographic: As part of our project focusing on developing a methodology for using AI to identify social media discussions of mental health and well-being, we ran a few youth engagement sessions together with UNICEF country offices in Kazakhstan and Tajikistan.

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