Decentralized Fake News Verification With NFT Voting and Oracle Checks
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Solution Overview
Problem
Existing technologies for detecting fake or misleading news lack neutrality and fairness in verification processes, with automatic algorithms susceptible to manipulation and on-chain voting systems favoring the rich, leading to centralization and inefficiency.
Innovation Solution
A decentralized system using Non-Fungible Tokens (NFTs) for voting, combined with a two-step verification process and an off-chain oracle mechanism ensuring 'one vote per person', implemented through a Smart-contract in a blockchain, to enhance fairness and transparency in information verification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If on-chain voting methods are used in DAO, then security and decentralization are improved, but voting cost increases significantly due to gas fees
Solution Approach 1:
The patent segments the verification process into two distinct phases: a fast off-chain verification phase for routine operations, and a reserved on-chain voting phase for critical decisions. This segmentation allows the system to minimize on-chain interactions, reducing gas fees while maintaining security for important verifications.
Solution Approach 2:
The patent introduces an intermediary layer (off-chain verification mechanism) that handles routine verification tasks, reducing the need for expensive on-chain voting. This intermediary process filters out many cases before they reach the on-chain voting stage, significantly lowering overall voting costs.
2Ease of operation
If token-based voting power distribution is used in DAO, then voting simplicity is improved, but fairness deteriorates as the rich control the organization
Solution Approach 1:
The patent implements asymmetric voting power distribution where verification quality and expertise weight the vote, rather than simply token quantity. This creates a more balanced system where knowledgeable verifiers have greater influence, preventing wealth concentration from dominating the verification process.
Solution Approach 2:
The patent changes the voting parameter from pure token quantity to a composite metric that includes verification accuracy, expertise level, and reputation. This parameter transformation ensures that voting power reflects actual verification capability rather than wealth, improving fairness while maintaining operational simplicity.
3Productivity
If automatic detection algorithms are used, then detection speed is improved, but neutrality deteriorates as algorithms can be manipulated
Solution Approach 1:
The patent merges automatic detection algorithms with human expert verification in a hybrid system. The algorithm provides rapid initial assessment, while human experts perform final verification, combining speed with neutrality. This combination prevents manipulation by requiring human oversight of automated processes.
Solution Approach 2:
The patent implements feedback loops where verification results are continuously reviewed and algorithm parameters are adjusted based on expert validation. This feedback mechanism ensures algorithms remain neutral and cannot be easily manipulated, as their behavior is constantly monitored and corrected by human experts.
4Reliability
If code of ethics statements are required, then moral guidance is improved, but verification of code compliance becomes inefficient
Solution Approach 1:
The patent requires verifiers to declare their adherence to ethical codes and disclose potential conflicts of interest before participating in verification. This preliminary action ensures moral guidance is established upfront, allowing efficient verification processes to proceed without repeated ethical checks.
Solution Approach 2:
The patent implements self-declaration mechanisms where verifiers automatically report their ethical compliance status and conflict of interest information. This self-service approach maintains moral guidance requirements while minimizing verification overhead, as the system automatically tracks and monitors compliance rather than requiring manual verification.
Data Source
AI summary
A method, system and computer program for verifying false or misleading information. The method involves creating a Non-Fungible Token (NFT) and associating it to one or more information records to be verified; distributing the NFT and the record(s) to computing nodes implementing a decentralised blockchain; establishing, for a set of computing nodes of a first type, a first verdict of whether the record(s) include(s) false or misleading information; establishing, for a set of computing nodes of a second type, a second verdict of whether the record(s) include(s) false or misleading information; and adding the first verdict and the second verdict. If the result of the second verdict coincides with the first verdict, the final verdict is set and published, and if the result of the second verdict is different from the first verdict, one or more computing devices that are external to the decentralised blockchain are notified of a conflict.