Social Media Authorship Tracking for Anonymous Moderation
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Solution Overview
Problem
Current social media systems face challenges in content curation, including the removal of objectionable content and the management of anonymous authorship, which often results in suppression of artistic expression and inadequate compensation for collaborative works.
Innovation Solution
Implementing a computer-implemented system that utilizes blockchain technology for immutable proof of authorship, allows anonymous to non-anonymous conversion, and supports collaborative asset compensation through metadata tagging and machine learning for content moderation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If anonymous authorship is allowed on social media platforms, then user privacy and freedom of expression are protected, but content curation and accountability become difficult
Solution Approach 1:
The patent introduces blockchain technology as an intermediary layer that mediates between anonymous posting and authorship verification. The blockchain stores cryptographic proofs of authorship without requiring public disclosure of identities, allowing content to be traced to its creator if needed while maintaining operational anonymity. This resolves the contradiction by providing a trusted third-party verification mechanism that doesn't compromise user privacy.
Solution Approach 2:
The patent replaces traditional centralized authentication mechanisms with cryptographic proof systems based on blockchain technology. Instead of relying on centralized databases or identity verification systems, the system uses cryptographic signatures and hash functions to verify authorship. This substitution enables anonymous yet verifiable authorship, allowing content to be attributed to cryptographic keys rather than personal identities.
2Object-affected harmful factors
If content is curated and moderated to remove objectionable material, then platform safety is improved, but artistic expression and free speech are suppressed
Solution Approach 1:
The patent applies different levels of moderation and verification to different types of content and contexts. Rather than applying uniform censorship rules, the system allows anonymous posting for certain content types while requiring verification for others. The blockchain-based authorship system enables selective attribution where it is needed for accountability but maintains anonymity where it protects artistic expression. This localized approach to quality control resolves the contradiction by applying moderation only where necessary.
3Ease of operation
If traditional social media systems are used for content management, then ease of operation is maintained, but compensation for collaborative works is inadequate
Solution Approach 1:
The patent creates a multi-functional system that combines traditional social media operations with blockchain-based compensation mechanisms. The same platform that enables anonymous posting and content sharing also automatically tracks authorship and distributes compensation through smart contracts. This universal system handles both content management and creator compensation within a single framework, resolving the contradiction by adding compensation functionality without requiring separate complex systems.
Solution Approach 2:
The patent implements automatic feedback loops where content performance metrics are continuously monitored and compensation is automatically distributed based on actual usage and engagement data. The blockchain system provides real-time feedback to creators about their content's performance and earnings, enabling transparent and equitable compensation distribution. This automated feedback mechanism ensures creators receive fair compensation while maintaining ease of operation for content management.
Data Source
AI summary
Disclosed embodiments provide techniques for computerized moderation, authorship recording, and distribution of social media content. Moderator-supplied tags are associated with content and supplied to a machine learning system as training data. Using blockchain, authorship is authenticated and can be converted from anonymous to non-anonymous. Collaboration among authors on content is supported with authorship lists that can contain a mix of anonymous and non-anonymous authors. Contribution limits are established to determine royalty payments for sale and rent of content.