Validate the disinformation-cascade model against empirical data

Validate the proposed model of online disinformation cascades against empirical data by calibrating it to observed distributions of cascade sizes.

Background

The proposed model is studied using Monte Carlo simulations, heterogeneous mean-field approximations, Erdős–Rényi graphs, and an empirical Twitter network. However, the network data are used primarily to represent connectivity structure rather than to calibrate the full spreading dynamics against observed disinformation events. The authors explicitly identify empirical validation, including calibration to observed cascade-size distributions, as an unresolved requirement for assessing the model’s realism.