In an age where media ecosystems fracture public reality, amplify volatility, and reshape political responsibility, this book provides the missing mathematical framework.
America First vs. Homeland First introduces a rigorous, tier-based model explaining why modern media actors-from cable hosts and political streamers to independent YouTube commentators-behave the way they do, and why institutions increasingly struggle to maintain stability.
Using Lexicographic Constraint Optimization (LCO), Antonios Valamontes reveals that media behavior is not random, ideological, or purely emotional-it is structural. Every actor operates under a hierarchy of non-compensatory priorities, where audience survival, identity reinforcement, and volatility activation dominate factual accuracy, harm minimization, and civic value.
Through detailed divergence metrics, tier-ordering analysis, and cross-ecosystem comparisons, this book maps the hidden architecture behind:
Polarization across the populist-right, populist-left, institutional media, independents, and diaspora ecosystems
Manipulation intensity and incentive structures in modern digital discourse
"America First" vs. "Homeland First" identity competition
The collision between state-actor stability and media-actor volatility
Latent actors, algorithmic intermediaries ("logichars"), and catastrophic node removal
PRI and PRI★ A new Political Responsibility Index for the media age
The analysis exposes how and why media actors can override truth, coherence, or civic responsibility when such values conflict with Tier-1 survival. It also explains how catastrophic events-such as the sudden removal of a high-volatility actor-send structural shocks through the entire ecosystem.
This is a foundational text for anyone seeking to understand the mechanics of modern information warfare, political behavior, and systemic instability. Combining political science, cognitive modeling, mathematical hierarchy theory, and real-world ecosystem analysis, Valamontes delivers a groundbreaking framework for researchers, policymakers, and readers who want to see through the noise.
A rigorous, data-driven, and intellectually fearless examination of how media power actually works.