In the age of rapid content generation on social media, ensuring the originality and authenticity of posts has become a significant challenge. Traditional centralized platforms struggle with content verification, leading to widespread plagiarism, misinformation, and trust issues. This white paper proposes a decentralized content verification framework that leverages AI-based similarity detection and blockchain technology to verify and secure origi- nal content. Only posts with similarity below a predefined threshold are considered original and are immutably recorded on the blockchain, which serves as a transparent and tamper- proof ledger. Furthermore, the decentralized architecture ensures that content verification is not subject to centralized control, thereby promoting fairness and reducing the risk of censorship. By integrating AI and blockchain, the framework addresses issues of plagiarism, misinformation, and content redundancy, fostering a more trustworthy social media ecosys- tem. This innovative approach paves the way for next-generation social media platforms that prioritize content integrity and user trust, with potential applications extending to other digital content domains.
The rapid growth of user-generated content on social media poses challenges for content verification. Centralized systems face risks like censorship, scalability issues, and trust deficits, undermining transparency and security. Additionally, plagiarism and content duplication reduce originality and quality, complicating content verification and eroding user confidence in digital ecosystems.
This research proposes a scalable, decentralized content-verification framework using distributed architectures, AI-powered plagiarism detection, and blockchain-based transparency. It aims to eliminate single points of failure, detect sophisticated plagiarism, provide immutable verification records, and efficiently handle high-volume content, ensuring accuracy, trust, and reliability across growing social media ecosystems.
The framework integrates AI and blockchain to deliver transparent, scalable, censorship-resistant content verification. Immutable blockchain records build trust, while decentralized control prevents manipulation. AI-driven automation enables efficient processing of large content volumes. Together, these technologies create innovative, synergistic solutions for authenticating content and strengthening digital rights management across social media platforms.



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