Natural Language Processing

Stories that (are) Move(d by) Markets: A Causal Exploration of Market Shocks and Semantic Shifts across Different Partisan Groups

We demonstrate that semantic shifts in news language can be causally linked to financial market shocks, with partisan differences influencing predictive power. Text signals prove particularly valuable during unexpected events like COVID-19.

Felix Drinkall, Janet B. Pierrehumbert, Stefan Zohren