Methods we track
Eight patterns we keep seeing — across AI governance, narrative economics, and the suppression of civic record. Each one is documented in the field. Each is observable, not speculative.
Information control
Coordinated framing across legacy media, academia, and major platforms — narrowing the band of viewpoints that count as legitimate.
How it shows up
Information control
Search engines and recommendation feeds quietly demote content judged "low quality" — a label that often tracks viewpoint, not accuracy.
How it shows up
Digital infrastructure
Independent media, forced onto centralized platforms, then bound by terms of service that can be tightened at any moment.
How it shows up
Digital infrastructure
Stack-level removals — app stores, payment processors, hosting — that make alternative platforms unviable before they can grow.
How it shows up
Social pressure
Naming, blacklisting, and employer pressure — the reputational and economic costs that make people self-edit before they ever post.
How it shows up
Social pressure
When professional associations, journals, and funders narrow what counts as legitimate research — and then call the result consensus.
How it shows up
Surveillance
Alignment layers and content classifiers that shape what AI systems will say — and what they refuse to engage with — without disclosing why.
How it shows up
Surveillance
Cross-platform tracking that lets moderation systems anticipate and damp dissent before it spreads, not after.
How it shows up
We're building the public record one observation at a time. If you've documented one of these patterns — with receipts — we want to see it.