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

TL;DR

This paper introduces a comprehensive content verification system that aims to authenticate digital images and videos across platforms, addressing the rising threat of misinformation and deepfakes in the age of AI-generated content.

Contribution

It proposes a novel content verification system that enhances digital content authenticity beyond verified profiles, helping users combat misinformation and protect their reputation.

Findings

Effective detection of AI-generated deepfakes and manipulated content

Improved content authentication across multiple social media platforms

Enhanced user empowerment for digital content validation

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.