In this work, firstly utilizing daily scrapes of 3,074 news websites (both mainstream and misinformation), the large-language model MPNet, and DP-Means clustering, we build a system to automatically isolate and analyze the narratives being spread within online ecosystems. Secondly, to understand the impact of AI-Written content, we present one of the first large-scale studies of the prevalence of AI-written articles within online news media.