[Proposal Discussion] FURSAN: A Decentralized AI-Powered News Verification Platform on Polka
FURSAN: A Decentralized AI-Powered News Verification Platform on Polkadot
Introduction
Greetings Polkadot Community,
I am Ali Sajadpour, the lead proposer of FURSAN, an ambitious decentralized news verification platform powered by AI and blockchain technologies. FURSAN is designed to combat misinformation and rebuild public trust in journalism by offering a scalable, transparent, and decentralized solution.
This proposal seeks to integrate FURSAN within the Polkadot ecosystem, leveraging its scalability, interoperability, and governance framework. I am presenting this post to solicit feedback, suggestions, and insights from the community to refine and strengthen the proposal.
The Problem
The Misinformation Epidemic
The exponential rise of misinformation has undermined public trust in media and created societal and economic challenges. Traditional centralized solutions lack:
- Transparency: Their decision-making processes are opaque.
- Scalability: Unable to handle the sheer volume of misinformation.
- Inclusivity: They exclude stakeholders like the public and independent journalists.
FURSAN’s Solution
FURSAN offers a decentralized platform that:
- Uses AI models to detect fake news with semantic and sentiment analysis.
- Incentivizes community participation through decentralized governance and staking.
- Ensures scalability and cost-efficiency using Polkadot’s parachain infrastructure.
Key Deliverables
1. Software
- Fully Functional dApp: A decentralized application for submitting, verifying, and interacting with news articles.
- Custom Substrate Pallets: Built for:
- News submission and validation.
- Validator reputation scoring.
- Reward distribution.
- AI Integration: Advanced models for fake news detection, utilizing pre-trained NLP models and real-time sentiment analysis.
2. Infrastructure
- Deployment on Polkadot: Ensuring scalability, security, and interoperability.
- Decentralized Storage: Utilizing IPFS or Arweave for immutable and cost-effective data storage.
- Smart Contracts: Deployed on Substrate, ensuring transparent reward mechanisms and governance.
3. Media Content
- Educational Resources: Tutorials, videos, and blog posts to engage journalists, validators, and developers.
- Awareness Campaigns: Promoting transparency and usability through targeted social media outreach.
4. Community Engagement
- Workshops and Hackathons: To onboard developers and validators.
- DAO Governance: Empowering the community to influence platform evolution.
Proposed Budget
We are requesting a total allocation of 8,000 DOT (~$40,000 USD), distributed across milestones:
| Milestone | Deliverables | Cost (USD) | Cost (DOT) |
|---|---|---|---|
| Milestone 1 | Research, stakeholder engagement, and initial dev | $4,200 | 840 DOT |
| Milestone 2 | AI and blockchain integration, dApp development | $26,100 | 5,220 DOT |
| Milestone 3 | Testing, deployment, and community onboarding | $7,700 | 1,540 DOT |
| Infrastructure | Hosting, storage, and maintenance | $2,000 | 400 DOT |
| Total Budget | $40,000 | 8,000 DOT |
Objectives and Metrics for Success
To measure the project’s success, we propose the following objectives and KPIs:
1. Platform Adoption
- 500 active users within 6 months.
- 50,000 verified news submissions in the first year.
2. Community Engagement
- Onboard 30 validators and 20 journalists actively contributing to the ecosystem.
- Establish a governance DAO with 50% participation from stakeholders.
3. AI and Blockchain Integration
- 85%+ accuracy in fake news detection by AI models.
- 1,000+ transactions per second (TPS) supported by the Polkadot infrastructure.
4. Content Engagement
- Achieve 10,000 views and 1,000 interactions across media content within the first 6 months.
Technical Architecture
(Include a diagram showing the integration of AI, Polkadot’s parachain, decentralized storage, and governance components.)
Key Components:
- AI Layer: Processes news submissions for accuracy using NLP models.
- Blockchain Layer (Polkadot): Manages submissions, reputation scores, and rewards using Substrate pallets.
- Storage Layer: Ensures news data immutability through IPFS/Arweave.
- Frontend: User-friendly dApp for journalists, validators, and end-users.
(Add a diagram here, e.g., an architecture flowchart highlighting these layers.)
Why Polkadot?
FURSAN is designed for Polkadot due to:
- Interoperability: Seamless integration with other parachains for extended functionality.
- Scalability: Supports high transaction volumes at low cost.
- Governance: Polkadot’s decentralized governance aligns with FURSAN’s vision for transparency and inclusivity.
Feedback Request
We invite the Polkadot community to:
- Provide technical suggestions on the proposed Substrate pallet design and AI integration.
- Share thoughts on governance mechanisms and validator incentives.
- Offer ideas to enhance scalability and cost-efficiency within the Polkadot ecosystem.
Your insights will be invaluable in refining this proposal and ensuring its success.
Engagement Plan
We will ensure transparency through:
- Monthly Updates: Progress reports shared via Polkassembly.
- GitHub Repository: Publicly available code and documentation.
- Community Events: Regular workshops and feedback sessions.
Contact Information
Feel free to reach out with questions or suggestions:
Closing Note
FURSAN represents a bold step toward addressing misinformation through decentralized technologies. With Polkadot’s ecosystem and community support, we aim to create a scalable and impactful solution. Thank you for your time and feedback!
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