A Comprehensive Content Verification System for ensuring Digital Integrity in the Age of Deep Fakes

Authors: RaviKanth Kaja

Published: 2024-11-29 14:47:47+00:00

AI Summary

This paper proposes a content verification system to authenticate images, audio, and videos shared online, addressing the growing threat of deepfakes. The system uses steganography to embed a content ID into media, enabling verification against a database of registered content, providing a confidence score on authenticity.

Abstract

In an era marked by the widespread sharing of digital content, the need for a robust content-integrity verification goes beyond the confines of individual social media platforms. While verified profiles (such as blue ticks on platforms like Instagram and X) have become synonymous with credibility, the content they share often traverses a complex network of interconnected platforms, by means of re-sharing, re-posting, etc., leaving a void in the authentication process of the content itself. With the advent of easily accessible AI tools (like DALL-E, Sora, and the tools that are explicitly built for generating deepfakes & face swaps), the risk of misinformation through social media platforms is growing exponentially. This paper discusses a solution, a Content Verification System, designed to authenticate images and videos shared as posts or stories across the digital landscape. Going beyond the limitations of blue ticks, this system empowers individuals and influencers to validate the authenticity of their digital footprint, safeguarding their reputation in an interconnected world.