A system for authenticating digital contents includes a computing platform having a hardware processor and a memory storing a software code. According to one implementation, the hardware processor executes the software code to receive digital content, identify an image of a person depicted in the digital content, determine an ear shape parameter of the person depicted in the image, determine another biometric parameter of the person depicted in the image, and calculate a ratio of the ear shape parameter of the person depicted in the image to the biometric parameter of the person depicted in the image. The hardware processor is also configured to execute the software code to perform a comparison of the calculated ratio with a predetermined value, and determine whether the person depicted in the image is an authentic depiction of the person based on the comparison of the calculated ratio with the predetermined value.
BACKGROUND (1) Advances in machine learning have enabled the production of realistic but forged recreations of a person's image or voice, known as “deepfakes” due to the use of deep artificial neural networks for their creation. Deepfakes may be produced without the consent of the person whose image or voice is being used, and may make the person being represented appear to say or do something that they have in fact not said or done. As a result, deepfake manipulated digital content can be used maliciously to spread misinformation. (2) Due to the widespread popularity of digital content for the distribution of entertainment and news, the effective authentication and management of that content is important to its creators, owners and distributors alike. However, as machine learning solutions continue to improve, deepfakes are and will continue to be difficult to detect. As a result, subtly manipulated or even entirely fake digital content may inadvertently be broadcast or otherwise distributed in violation of contractual agreement or regulatory restrictions, thereby subjecting the content owners and/or distributors to potential legal jeopardy. SUMMARY (3) There are provided systems for authenticating digital contents, substantially as shown in and/or described in connection with at least one of the figures, and as set forth more completely in the claims.
1. A system for authenticating digital content, the system comprising: a computing platform including a hardware processor and a system memory; a software code stored in the system memory; the hardware processor configured to execute the software code to: receive the digital content having an audio track including at least one of a monologue or a dialogue; identify a person depicted in an image in the digital content, the image further depicting a participation by the person in the at least one of the monologue or the dialogue; detect at least one linguistic mannerism of the person depicted in the image based on the participation in the at least one of the monologue or the dialogue; obtain a linguistic profile of the person depicted in the image, the linguistic profile including at least one predetermined linguistic mannerism of the person depicted in the image; perform a comparison of the at least one detected linguistic mannerism with the at least one predetermined linguistic mannerism; and determine whether the person depicted in the image is an authentic depiction of the person based on the comparison of the at least one detected linguistic mannerism with the at least one predetermined linguistic mannerism. ||
8. A system for authenticating digital content, the system comprising: a computing platform including a hardware processor and a system memory; a software code stored in the system memory; the hardware processor configured to execute the software code to: receive a digital content having an audio track including at least one of a monologue or a dialogue; identify the digital content as a pre-existing content having a corresponding script stored in a database; extract a sample of the at least one of the monologue or the dialogue included in the digital content; perform a comparison of the extracted sample with a corresponding sample of the script; and determine whether the at least one of the monologue or the dialogue is authentic based on the comparison of the extracted sample of the at least one of the monologue or the dialogue with the corresponding sample of the script. ||
14. A method of authenticating digital content, the method comprising: receiving the digital content having an audio track including at least one of a monologue or a dialogue; identifying a person depicted in an image in the digital content, the image further depicting a participation by the person in the at least one of the monologue or the dialogue; detecting at least one linguistic mannerism of the person depicted in the image based on the participation in the at least one of the monologue or the dialogue; obtaining a linguistic profile of the person depicted in the image, the linguistic profile including at least one predetermined linguistic mannerism of the person depicted in the image; performing a comparison of the at least one detected linguistic mannerism with the at least one predetermined linguistic mannerism; and determining whether the person depicted in the image is an authentic depiction of the person based on the comparison of the at least one detected linguistic mannerism with the at least one predetermined linguistic mannerism. ||
21. A method of authenticating digital content, the method comprising: receiving a digital content having an audio track including at least one of a monologue or a dialogue; identifying the digital content as a pre-existing content having a corresponding script stored in a database; extracting a sample of the at least one of the monologue or the dialogue included in the digital content; performing a comparison of the extracted sample with a corresponding sample of the script; and determining whether the at least one of the monologue or the dialogue is authentic based on the comparison of the extracted sample of the at least one of the monologue or the dialogue with the corresponding sample of the script.