From Election To Insurrection: A Tool For Scoping Longitudinal Data Based on Topic Shifts
Abstract
Online discourse around prolonged crises—such as political unrest and armed conflict—evolves in complex ways. This paper examines how discourse volatility and framing shift over time in a large-scale, longitudinal dataset. We present methods to characterize discourse evolution and discuss implications for understanding public response to prolonged crises.
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