By assisting in the authenticity verification of videos, blockchain in deepfakes detection will help minimize the instances in which disinformation spreads.

A sort of artificial intelligence called deepfake is used to produce convincing image, audio, and video hoaxes. It also creates its video material. Numerous deepfakes have been reported, some of which were created just for entertainment value. 

The capacity of blockchain technology to store data in a manner that guarantees data integrity is one of its main advantages. Blockchains can also be used to cryptographically verify the legitimacy of other media assets, such as text, video, and pictures.

In the end, it is ideal for a brand to proactively offer accurate information. End users will find it easier and easier to determine the source of the content they are consuming and whether it has been independently validated.

Content produced by AI is emerging at a never-before-seen rate, and this trend will only increase as AI’s capabilities advance. To guarantee that the technology environment we’re developing allows for the scale and quick resolution of this issue at a rate that, once more, the end-user consumer can effectively consume.

Deepfakes can therefore be used to propagate widespread disinformation and propaganda if left unchecked, which could have detrimental effects. By assisting in confirming the legitimacy of such movies, the usage of blockchain for deepfake monitoring can help lower the number of these occurrences.

Blockchain’s possible application in combating deep fakes

Multiple parties can cryptographically sign films or images at the source. At the moment of recording, a cryptographic hash can be assigned to the video. Since blockchain data is immutable, once input, it cannot be changed. After being validated by the original parties, each upload, download, and edit of the video can be written into a smart contract. This ensures the video’s integrity, enhances traceability, and produces an audit trail for it. 

At each step, the hash data can be compared to the original. A discrepancy between the two datasets may indicate that the video has been manipulated. For instance, video cameras are used by secret detectives and police to capture details from crime scenes. Each person present’s fingerprints or unique hash data can be used to identify them in the video. After each member validates it, this data is subsequently written as a smart contract to the blockchain. In a similar vein, each download, upload, and sharing event will be authenticated against the original data. Thus, blockchain technology can greatly limit the occurrence of video tampering. 

The blockchain’s dependability for identifying deep fakes

Blockchain technology can help us in our efforts t  o identify deepfakes. It should not, however, be viewed as the answer to combating deepfakes. Blockchains’ dependability and integrity may be jeopardized by sophisticated cyberattacks. Therefore, blockchains cannot be regarded as the final word of truth. From the point of genesis until the last known occurrence, care should be taken to confirm the veracity of the data on the blockchain. Using this strategy will assist us believe the video is more credible.

Blockchain makes fighting deepfakes much more effective. It still isn’t dependable, though. To further enhance its powers, it must be combined with other technologies, such as artificial intelligence. Deepfakes can be combated much more effectively with the combined use of blockchain and AI. Even if we take into account blockchain’s limits in identifying deepfakes, it’s still beneficial to have a tool that can assist in identifying them and so lessen the amount of false information that is disseminated by them.