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When conducting compliant secondary content creation on Little Red Book, it is crucial to strike a balance between drawing inspiration from viral content and maintaining originality. By leveraging the platform’s Originality Protection Program and Community Guidelines, we have developed a risk-mitigating viral content reproduction model:
1. Structural Deconstruction: Viral Content Gene Transplantation
Core Principle: Retain user pain points and emotional resonance while replacing the solution delivery method.
Execution Framework
Original Viral Theme | Adaptation Direction | Compliance Check Tool |
Skincare Routine for Oily Skin | Sensitive Skin Repair Plan | Juyi Text Duplication Check |
Exam Prep Schedule | Civil Service Exam Study Plan | Originality Detection Tool |
Outfit Ideas for Petite Figures | Plus-Size Slimming Outfit Guide | Eagle Eye System Alerts |
Pitfall Avoidance Guide
- Do not use identical audience tags (e.g., replace "Gen Z students" with "young professionals").
- Music track replacement rate must exceed 70% (to avoid copyright detection via audio recognition).
2. Format Transformation: Cross-Medium Adaptation Strategies
Platform Policy Alignment
- Videos receive priority in recommendations (+15% traffic boost).
- Using the “Originality Declaration” feature reduces risk of mistaken infringement claims.
Adaptation Pathways
Technical Tools
- Qingdou APP: Extracts video scripts (avoids manual copying).
- Canva Templates: Rebuilds visuals (ensures similarity <30%).
3. Declaration Mechanism: Establishing a Content Credibility System
Compliant Declaration Templates
Placement Guidelines for Declarations
Placement | Declaration Method | Compliance Impact |
Title | @Original Creator + 🔥Collaboration | Friendliness +50% |
First Line of Content | Text Explanation + Redirect Link | Infringement Risk -35% |
Pinned Comment | Citation Format | Report Approval Rate -70% |
4. Risk Prevention: Compliance Screening Process
Self-Check Compliance Checklist
- Text Similarity <30% (Checked via Yizhuan.net)
- Complete MD5 Hash Change for Images (Using hash modification tools)
- Video Keyframe Duplication Rate <15% (Checked via Capcut AI detection)
- Original Post’s Core Structure Retained ≤40% (Convert 3-step process into a 4-step process)
Platform Appeal Process
- Submit content creation documentation via the “Creator Services Center”.
- Use “Originality Declaration” to retroactively cover past similar content.
- If flagged incorrectly, provide screen recordings of the adaptation process (highlight newly added materials).
Secondary Creation Benefit Model
Performance Metrics for Success
- Engagement Conversion Rate: 60%-80% of the original viral post is considered optimal.
- Follower Growth Efficiency: Daily follower increase should reach at least 50% of the original post’s rate.
- Content Lifespan: Long-tail traffic should last 3-6 months.
By leveraging the four-dimensional approach of Structural Deconstruction, Format Transformation, Declaration Mechanisms, and Risk Prevention, secondary content creation can retain viral elements while ensuring platform compliance.
A key focus should be on the new “Substantial Similarity” assessment criteria, which evaluates text, visuals, and audio simultaneously. Maintaining an information increase of at least 55% during adaptation is crucial.
