Detecting and Measuring Online Emotional and Moral Reactions to Offline Events

The rich and dynamic information environment of social media provides opportunities to learn about social phenomena in a timely manner. This work presents a method for systematically detecting and measuring emotional and moral reactions to offline events using change point detection on the time series of collective affect, and further explaining these reactions using a transformer-based topic model.