Persistent Influence Theory (PIT): A Hierarchical Framework for Structural Persuasion and Information Fidelity

In an era of digital abundance, critical information on issues such as climate resilience, public health, and institutional accountability routinely fails to penetrate public discourse despite widespread accessibility. Existing theories explain individual mechanisms of information filtering—cognitive dissonance, agenda-setting, selective exposure—but none models the hierarchical interaction between these mechanisms or explains why they produce persistent, multi-generational influence rather than transient distortion. Persistent Influence Theory (PIT), a novel conceptual framework spanning communication studies, psychology, and information science, addresses this gap by modeling barriers to information fidelity as a top-down "throne-net" hierarchy: Tier 1 (Ideological Persistence) establishes meta-narrative boundaries via cultural "source code"; Tier 2 (Cognitive and Social Reinforcement) compiles these into personal filters through dissonance resolution and in-group bias; and Tier 3 (Institutional Amplification) executes via media gatekeeping and algorithmic echo systems. This paper presents the full PIT framework, an operational definition of information fidelity decomposed into four measurable facets, five falsifiable hypotheses with specified effect-size expectations, and a description of BiasClear—an open-source computational implementation that operationalizes PIT's tier structure as a structural persuasion detection engine (https://github.com/bws82/biasclear). PIT predicts that multi-tier interventions targeting all three levels simultaneously will preserve significantly higher information fidelity than single-tier approaches, and that agency-supportive messaging at Tier 2 can partially buffer institutional distortions even absent ideological change.