From the clusters, I was able to see which topics have similarities at the same height. There were three distinct clusters that came out, and the word clouds help add context to the clusters that were found in the previous post. The advantage of a structural topic model that I was able to observe the topics using the covariates as the organizations that the articles were published in. This is a significant step in understanding the topical prevalance accross organizations that cover human rights conflicts beyond the media. While this analysis were exploratory in nature, I look forward to exploring this corpus in greater detail and perhaps use supervised learning methods the to predict future aspects of human rights.