Photographs and videos can be altered or fabricated.

Show me why

Images can be edited, placed in misleading contexts or generated synthetically. That capability does not show that any particular image is fake. Each item needs its own provenance and contextual checks.

A common misconception

“Could be fake” is not evidence that a particular image is fake.

Where the limits are

Visual oddities and automated detector scores alone are not definitive. Authentic images can also be miscaptioned.

How we know

NIST studies media forensics, synthetic content and technical approaches to transparency. Authentication, provenance records and detection tools offer different kinds of evidence; none should be mistaken for a universal guarantee.

Sources you can inspect

1. NIST
   Reducing Risks Posed by Synthetic Content: An Overview of Technical Approaches to Digital Content Transparency

   Reviews provenance, labeling and detection methods.

   Publication date not stated · Checked in initial research 2026-10-08
2. NIST
   Guardians of Forensic Evidence

   Describes evaluation of deepfake detection.

   Publication date not stated · Checked in initial research 2026-10-08

Links were located in source research. Some publishers restrict automated access. Source presence is not institutional endorsement. Our citation standard

Revision history

• 2026-10-08Initial AI-assisted source research and scoped explanation. Awaiting owner editorial approval; not publicly verified.
• 2026-10-08Owner explicitly approved all content as created for public publication. Statements, sources and evidence classifications unchanged.