Enrichment and Ranking of the YouTube Tag Space and Integration with the Linked Data Cloud
ISWC '09 Proceedings of the 8th International Semantic Web Conference
Mobile video for patient education: the midwives' perspective
Proceedings of the 3rd ACM Symposium on Computing for Development
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This note explores methods of analyzing questions asked during public health video showings. The goal is to provide feedback to content creators and session facilitators based a limited subset of the audience's questions. We analyze five videos produced in the first year of Digital Public Health focused on maternal health issues in rural India. We demonstrate a prototype web based tool to collaborate on the qualitative analysis of questions and propose mechanisms for systematically improving future videos based on this analysis. Initial results show that it is possible to extract useful information on how the target audience perceives the messaging in a video exclusively from questions asked. Based on these results we explain how Digital Public Health can integrate this feedback into an iterative review process for quality assurance of messaging.