Kaito launches a new round of ranking mechanism upgrades to strengthen content quality and anti-cheating measures

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On August 8th,

Kaito announced the first major upgrade of its ranking system, aiming to improve ranking quality and credibility, reduce spam, ranking manipulation, and AI-generated content, while better identifying genuine creators and community members with long-term accumulated influence.

This update includes a brand new ranking system interface, where the "Creator Ranking" introduces higher reputation thresholds and dynamically adjusts based on synchronized project data, while the "Community Ranking" showcases users who are still in the growth stage but contribute positively to project content growth. Additionally, the new rules cancel the ranking contribution of reply-type content and enhance filtering mechanisms against spam accounts, buying followers, and engagement manipulation.

The official statement indicates that subsequent updates will include features such as gKAITO incentive mechanisms, AI content identification, on-chain behavior integration, and account tag reconstruction, to achieve a more credible and sustainable ranking system and support customized ranking rules for different projects. Kaito emphasizes that this update is the starting point of a long-term improvement path and will continue to iterate and optimize the system.

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