Sentiment-Based User Engagement via Blockchain Tokenization
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Solution Overview
Problem
Current techniques for engaging users in network systems based on sentiment analysis lack a system to collect and interpret sentiment information without limitations, while respecting privacy and intellectual property rights, and they do not effectively monetize user-generated sentiment-based content.
Innovation Solution
A distributed ledger system is created to track sentiment-related content, allowing users to register their social forums and reviews, and enabling the monetization of sentiment-based content through tokenization on a blockchain infrastructure, while ensuring user control over data access and usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a distributed ledger system is created to track sentiment-related content and enable monetization through tokenization, then user control over data access and usage is improved, but device complexity increases
Solution Approach 1:
The patent introduces a distributed ledger system as an intermediary layer between users and sentiment data. This mediator enables transparent tracking of data access and usage while maintaining user control through tokenization, without requiring users to directly manage complex security protocols or access controls themselves.
Solution Approach 2:
The patent replaces traditional centralized access control mechanisms with a blockchain-based token system. Instead of relying on centralized authentication servers and complex permission management, the system uses cryptographic tokens and smart contracts to automatically enforce access rules, simplifying user interaction while maintaining security.
2Measurement precision
If sentiment information is collected and interpreted without limitations, then measurement precision is improved, but privacy concerns worsen
Solution Approach 1:
The patent extracts and separates personally identifiable information from sentiment data through tokenization. By representing users as anonymous tokens on the blockchain rather than using their actual identities, the system enables comprehensive sentiment collection and analysis while preventing direct identification of individuals, thus resolving the privacy conflict.
Solution Approach 2:
The patent creates cryptographic copies (tokens) of user identities that can be used for tracking and analysis without exposing the original personal information. These token representations allow precise sentiment measurement while maintaining privacy, as the tokens can be analyzed without revealing underlying user identities.
3Reliability
If intellectual property rights of users are respected through consent rules, then reliability is improved, but device complexity increases
Solution Approach 1:
The patent implements self-service intellectual property protection through automated smart contracts on the blockchain. Users can set their own consent rules and licensing terms, which are then automatically enforced by the system without requiring manual monitoring or complex legal frameworks. This automation maintains high reliability for IP protection while reducing operational complexity.
Solution Approach 2:
The patent replaces manual intellectual property management processes with automated blockchain-based consent rules and licensing mechanisms. Instead of relying on traditional copyright enforcement and manual permission granting, the system uses programmable smart contracts that automatically enforce user-defined IP rights, improving reliability while streamlining the process.
4Productivity
If user-generated sentiment content is monetized through tokenization, then productivity is improved, but device complexity increases
Solution Approach 1:
The patent replaces traditional content monetization mechanisms with blockchain-based tokenization and smart contract automation. Instead of manual content valuation, negotiation, and payment processing, the system uses automated token-based transactions that efficiently monetize sentiment content while reducing administrative overhead and complexity through programmable enforcement.
Data Source
AI summary
Method and system of sentiment-based selective engagement of users in a network system. The method includes transmitting a request, over a network system, for engaging users associated with content data authored at least partly in accordance with sentiment expressions, the request including a set of engagement criteria, discovering, responsive to the request, a sentiment block digital asset in accordance with the set of engagement criteria, the sentiment block digital asset being based on the content authored in accordance with one or more sentiment expressions, and engaging the users based on the set of engagement criteria in conjunction with a set of consent rules associated with the at least one sentiment block digital asset.