Abstract: Techniques for rapidly delivering broadcasted live content are described. In an example, a transaction request to create placeholder non-fungible tokens (NFTs) in a token repository (106) is sent, where NFTs represent unique digital items. In response to the transaction request, an address allocated to a placeholder NFT from the plurality of placeholder NFTs in the token repository (106) is received. A notification indicating availability of the piece of live content is then transmitted to a user device (102), where the notification is indicative of the address allocated to the placeholder NFT in the token repository (106). In the meantime, a unique representation of the piece of live content is generated and populated on the token repository (106).

Abstract: Techniques for rapidly delivering broadcasted live content are described. In an example, a transaction request to create placeholder non-fungible tokens (NFTs) in a token repository (106) is sent, where NFTs represent unique digital items. In response to the transaction request, an address allocated to a placeholder NFT from the plurality of placeholder NFTs in the token repository (106) is received. A notification indicating availability of the piece of live content is then transmitted to a user device (102), where the notification is indicative of the address allocated to the placeholder NFT in the token repository (106). In the meantime, a unique representation of the piece of live content is generated and populated on the token repository (106).

Abstract: A content editing recognition tool for incorporating legitimate edits and detecting any illegitimate edits to any content such as video, audio or image file. The content editing recognition tool majorly works on three components namely a source/pre-edit file, an edit record and a post-edit file. The tool applies the edits mentioned in the edit record on the source file, and then matches the edited file with the post-edit file to verify/validate the content and determine any illegitimate edits in the file to be consumed by the user. Additional features detect any false negatives while performing content validation. Also, the content editing recognition tool helps in detecting deepfakes and distinguishing between trustworthy and untrustworthy videos, photos and audio files.