Which sequence describes a fact-checking workflow for a feature piece with data, quotes, and images?

• A. Verify data against original datasets; confirm quotes with speakers on record; verify image provenance; record verifications; annotate corrections; produce a final fact-check memo.
• B. Publish first, then verify later; ignore image provenance; write a memo after.
• C. Only verify quotes; skip data and images; no memo.
• D. Rely on memory for data and quotes; skip documentation.

Answer: (A)

A solid fact-checking workflow for a feature piece with data, quotes, and images hinges on verifying each element against its source, documenting the process, and producing a clear, auditable record. Start by checking data against the original datasets to catch any numerical errors or misinterpretations before they become part of the story. Then confirm quotes with the speakers on record to ensure attribution and exact wording, safeguarding accuracy and fairness. Verifying image provenance is also essential to confirm authenticity, licensing, and any alterations, which protects against misrepresentation and legal issues. Throughout, record each verification step and annotate any corrections so there’s a transparent trail that editors can follow. Finally, produce a final fact-check memo that summarizes verifications, decisions, and changes, providing a clear reference for the piece’s accuracy and accountability.

Other approaches where you publish before checks, skip image provenance, or rely on memory without documentation can introduce errors and undermine trust.