Building Independent Models of YouTube Content Networks as a Tool for Monitoring Health Misinformation

This article showcases a two-fold process for externally analyzing YouTube content recommendation paths. The first part is a simple tool for identifying video recommendations using Python and Google's API. The second part provides a sample workflow for mapping, analyzing, and visualizing the gathered data. The analysis is proposed as a tool for monitoring health misinformation online.