Decentralized AI-Powered News Verification Platform

General Project Information

Short Description: Fursan is a decentralized platform leveraging AI and blockchain technology to combat misinformation by validating news authenticity in real-time.

Project Category / Type: Software Development (applications, tools, and NFTs) Infrastructure and Network Operations (deployment, monitoring services)

Proponent: Ali Sajadpour

DOT Address: (To be provided by the proponent)

Requested Allocation: 8,000 DOT (~$40,000 based on current DOT price) Discussion Date: November 20, 2024

Onchain Publish Date: (To be provided upon submission on-chain)

Governance Referenda Origin Call: Small Spender

Previous Treasury Proposals: None

Other: This project aims to directly enhance Polkadot's ecosystem by showcasing Substrate’s capabilities for decentralized, secure, and scalable solutions in media verification.

Context

The rapid dissemination of fake news poses a significant threat to informed decision-making in societies worldwide. Traditional fact-checking methods are often slow, limited in scope, and vulnerable to bias. The Fursan project was conceived to address this challenge by leveraging decentralized technology and artificial intelligence to verify news in real-time. Ali Sajadpour, a seasoned expert in AI, Web3, and decentralized systems, has designed Fursan as an innovative solution to the growing issue of misinformation. With a background in intelligence, international relations, and Web3 systems design, Ali brings a unique perspective and technical expertise to this project. Fursan is powered by Polkadot’s Substrate framework, ensuring scalability, interoperability, and security. By integrating AI-driven sentiment analysis, fake news classification models, and decentralized governance mechanisms, Fursan offers a transparent, community-driven approach to combating misinformation.

Problem

Misinformation is a global challenge that undermines trust, polarizes societies, and disrupts democracies. Current solutions lack the speed, scalability, and impartiality required to address the problem effectively. Fact-checking processes are centralized, often prone to bias, and unable to keep pace with the rapid spread of news across digital platforms.
The absence of decentralized and verifiable methods to validate information leaves a critical gap in the fight against fake news. This problem demands a robust solution that combines cutting-edge technology, community participation, and trustless systems to ensure credible and unbiased information dissemination.
Fursan tackles this issue head-on by employing AI and blockchain technologies to provide a scalable, impartial, and efficient framework for news verification. This innovative approach addresses the root causes of misinformation while empowering users to participate in and trust the news verification process.