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Trust Centre

Qubicweb Analysis editorial methodology

Qubicweb Analysis examines how trust is built, abused, measured and repaired across Africa's digital economy. It is an editorial surface, not a Trust Badge decision, fraud finding or dispute outcome.

What readers can expect

  • Evidence before generation, and a traceable record for factual claims.
  • Named human approval before any governed Analysis article is published.
  • No private E-Fraud Watch report, TrustOps case file or individual trust record in an editorial prompt.
  • Clear labels for original reporting, data analysis, expert analysis, curated explainers and opinion.
  • Visible correction history, review dates and clear limits on what an article can establish.

Editorial approval and AI assistance

The governed workflow requires an approved editorial constitution and accountable reviews of each article. AI may assist with drafting and illustration; it cannot supply a human approval record. The Trust Economy collection discloses that assistance on each article. Its scenarios are illustrative, not claims of interviews or field reporting.