Content Credentials

Content Credentials are a technology that gathers details such as the creator, the tools used and the edit history for a photo, video or document, signs them digitally and stores them inside the file. Because the record lists who changed what and when, in order, it gives you a basis for judging whether the content can be trusted. The record is bound to the file, so you can also see where it differs from the original.

AI-made pictures and videos are multiplying, and so are fakes that imitate real footage, which makes it hard to tell where something came from. To reduce this problem, many companies and organizations created a shared standard and began building these records into their tools. Still, a missing record does not prove something is fake, so it is best treated as one check among several.

The tool that creates the content gathers the details of its making, adds the creator's digital signature and places them in the file like a tag. A checking program later compares the signature and confirms that the content has not been changed.

Each edit adds a new record, so the history of changes from the original stays connected. If the record is deleted from the file or damaged, the check shows that the result is unclear.

News photos and public agency materials can carry the camera and editing record, which raises trust in the reporting. It only works when both the tools that create the records and the programs that check them support the standard.

Creators use it to show that they made a work themselves, and platforms use it as evidence when they label AI-generated content. It matters to share files in a way that keeps the record intact.

The record can be lost when a file is converted to another format or when someone takes a screenshot. It is a common mistake to call something fake because it has no record, or to believe everything is true because it has one.

A signature shows who made the record, but it does not prove the contents are true. If the person who wrote the record is lying, the record can be false too.

It is like handing in your working along with your answer on an exam. The result comes with the process that produced it, so anyone can check it instead of judging by the answer alone.

AI-made images and videos now spread as fast as real footage, so people need a way to question where something came from. Once you know this idea, you can start by looking for a provenance record whenever you see a photo going around.