Tracking phases of the fall armyworm (Spodoptera frugiperda) invasion across multiple continents using news media

Understanding the dynamics of cascading social-ecological impacts associated with emerging pests and pathogens is key for addressing the challenges they introduce in an ever more interconnected and rapidly changing world. Here, we used topic modeling of digital news articles to investigate the potential cascading social-ecological impacts associated with the ongoing fall armyworm invasion of multiple geographic regions. We identified regional thematic shifts in the popular news media discourse surrounding the fall armyworm invasion. In the news discourse in Oceania, we discerned a stronger focus on invasion preparation than in regions like Africa and Asia. Additionally, we observed a common biological invasion phase pattern across regions, with Africa distinguished by a longer and proportionally larger impacts-related phase. These regional variations illuminate localized priorities in addressing this invasive species. By highlighting the significance of applying machine learning techniques to news articles to identify and describe cascading social-ecological impacts of emerging pests and pathogens, we can improve our understanding of these patterns and inform more targeted management and mitigation strategies.