Analyzing Psychological Impacts of COVID-19 on Twitter

This chapter explores methodologies used by researchers to analyze Twitter data for understanding the psychological effects of COVID-19 across diverse U.S. communities. The discussion focuses on the nuances of sentiment analysis, emphasizing the importance of training models to account for language variations and demographic differences. Furthermore, it highlights how political leanings influence language trends related to the pandemic, providing valuable insights for policymakers addressing mental health crises.