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Trust Drift Map
Measures how user trust gradually shifts away from traditional institutions (e.g., media, government, teachers) toward AI systems, influencers, or alternative digital authorities.
This flowchart illustrates the sequential erosion of trust—from initial confidence to silent doubts, growing distrust, and finally disengagement or realignment of trust toward non-traditional entities (such as AI or algorithms).
Core Concepts
Baseline Trust Anchor
Identifies where initial trust is placed (e.g., doctor, news media, government agency).
Doubt Phase
The stage where users begin to feel uneasy or uncertain but do not yet voice their concerns.
Distrust Formation
Active skepticism toward the original authority source due to perceived bias, error, or manipulation.
Drift Redirection
The moment trust silently transfers to another perceived “truth source”—commonly a personalized algorithm, AI assistant, or digital figure.
Use Cases
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Media Trust Breakdown Audiences move from institutional journalism to algorithm-curated content or influencers.
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Healthcare Skepticism Patients increasingly consult AI diagnostics over real doctors.
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Political Alienation Trust in governance erodes, replaced by alternative digital narratives or conspiracy ecosystems.
Linked Modules
- EDRI-H: Emotional Dependency Risk Index
- LII: Linguistic Incendiary Index
- Pandora Effect Diffusion Module
Part of the Lori Framework