Provenance Is Not Truth: Why Videos Need Sources
A documentary shows a genuine archival film. A narrator describes the event confidently. The footage comes from a recognisable institution. Should we accept the explanation?
We still need to ask whether the film depicts the claimed event, whether the narration reflects the evidence and whether important context has been omitted. Authentic material can support an inaccurate account.
Human Layer therefore separates the history of a media object from the evidence behind what it says.
Media provenance: where the material came from
Media provenance describes a production history: the origin of footage or audio, relevant edits and the evidence available about those steps. An archive reference, original recording or documented editing history can help establish that history.
For contemporary media, C2PA / Content Credentials can attach cryptographically verifiable provenance assertions. Validation can establish the integrity of signed assertions and their connection to an asset. What those assertions establish depends on their content and the trust placed in their signer.
C2PA's own explainer makes clear that provenance alone cannot establish whether content is accurate or factual. Credentials also need not provide a complete history. Their absence is not, by itself, evidence that a work is false or synthetic.
Information provenance: what supports the claim
Information provenance concerns the sources behind an assertion. Consider an illustrative claim: “This machine changed the outcome of the battle.” Footage proving that the machine existed does not establish the claimed effect.
To examine that effect, viewers need the relevant records, scholarship or other evidence. They also need to know where the creator moves from documented facts to interpretation.
A useful reference identifies a particular source: author or institution, title, date, page or item identifier and a link where available. Listing the name of a large archive leaves the viewer with too much searching to do.
Source cards connect evidence to the work
Our proposed source cards would connect important claims and media excerpts with specific references. An illustrative entry might contain:
- Claim at 03:12: what is asserted and the source supporting it.
- Footage at 11:04–11:31: archive, collection, item identifier and known editing or restoration.
- Interpretation: the creator's conclusion and any important uncertainty or disagreement.
- Correction: a dated explanation of what changed and why.
These are proposed fields, not records from an existing reviewed video. A source card makes scrutiny easier; it does not certify the conclusion. Sources can themselves be mistaken, incomplete or disputed.
Archival material needs appropriate evidence
Historical film cannot acquire an original modern camera signature retrospectively. Its provenance may instead involve a collection record, a film reel, a digitisation and an identified excerpt.
Restoration deserves particular care. Improving legibility is different from introducing details that were never captured. Disclosures should explain changes relevant to what viewers might treat as evidence.
Human responsibility remains essential
A creator declaration should say who researched, wrote, narrated and edited the work, and what tools contributed. AI-generated research output is not itself a checked source. Whoever publishes must evaluate the underlying references.
Automated screening might help prioritise review. It should not become an automatic verdict about truth or authorship. Questions, corrections and appeals remain part of accountable publication.
The goal is to make a video easier to examine: where its material came from, what supports its claims and who will answer for its publication.
Explore source cards and the proposed review workflow.
Technical reference: Coalition for Content Provenance and Authenticity, C2PA and Content Credentials Explainer, version 2.2. The document is licensed under CC BY 4.0; the discussion here is an original summary, not an official C2PA statement or endorsement.
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By Paul-Lukas Hertz. Developed with ChatGPT assistance from the Human Layer founding principles. Human Layer is currently in Phase Zero; the platform features discussed here are proposals, not operating services.