What technical methods like digital watermarking or blockchain verification are being used to identify deepfakes across decentralized networks?

Identifying deepfakes on decentralized platforms is a growing challenge because these networks often lack central authority to moderate content. To combat this, developers are focusing on two main technical approaches: digital watermarking and blockchain-based verification.

Digital watermarking involves embedding invisible data into media files. This digital signature can survive compression and resizing, allowing detection tools to verify if the content is original or has been manipulated by AI. If a video is altered, the watermark is often broken or the metadata changes, signaling that the content may be a deepfake.

Blockchain verification offers another layer of security through provenance. By recording the original creation of a video or image on a decentralized ledger, creators can establish a permanent, unchangeable record of authenticity. When a user views media, they can check the blockchain to see if the file matches the original cryptographic hash recorded by the verified creator. These combined technologies aim to create a layer of trust in environments where traditional centralized moderation is not possible.