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facct-reproducibility

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Use when strengthening ACM FAccT transparency and reproducibility — releasing code, data, and analysis for quantitative audits; documenting datasets and models with datasheets, model cards, and data statements; making qualitative and participatory work auditable without breaking confidentiality; pinning provenance for scraped and model-generated data; and keeping the paper, the supplementary material, and any released artifact consistent.

FAccT-Skills/skills/facct-reproducibility/SKILL.md

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# FAccT Reproducibility

Use this before submission and again before camera-ready. At FAccT, transparency is not only the
*subject* of the field — it is a norm the community holds its own papers to. But FAccT
reproducibility is broader than "does the code run": it spans **releasing and documenting** the data
and models behind an audit, making a **qualitative** study auditable without exposing participants,
and being honest where confidentiality or proprietary access genuinely bars release. The goal is
that a competent reader could trace how you got from evidence to conclusion — and judge whether the
harm you claim is real.

## Transparency map

- **Map each finding to a verifiable location** — a paper section, a table generated from released
  analysis, a codebook, or a documented case record.
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