  It is widely understood that diffusion of and simultaneous interactions
between narratives -- defined here as persistent point-of-view messaging --
significantly contributes to the shaping of political discourse and public
opinion. In this work, we propose a methodology based on Multi-Variate Hawkes
Processes and our newly-introduced Process Influence Measures for quantifying
and assessing how such narratives influence (Granger-cause) each other. Such an
approach may aid social scientists enhance their understanding of
socio-geopolitical phenomena as they manifest themselves and evolve in the
realm of social media. In order to show its merits, we apply our methodology on
Twitter narratives during the 2019 Venezuelan presidential crisis. Our analysis
indicates a nuanced, evolving influence structure between 8 distinct
narratives, part of which could be explained by landmark historical events.
