Odaily News Kaito announced the first major upgrade of its ranking system, aimed at improving the quality and credibility of rankings, reducing spam information, ranking manipulation, and AI-generated content, while better identifying authentic creators and community members who have accumulated influence over time. This update includes a brand new ranking structure interface, where the "Creator Ranking" introduces a higher reputation threshold and dynamically adjusts based on project sync data, while the "Community Ranking" showcases users who are still in the growth stage but have a positive contribution to the project's content growth. Additionally, the new rules eliminate the contribution of reply-type content to rankings and enhance the filtering mechanism against spam accounts and cheating behaviors such as buying followers and interactions. The official stated that subsequent features will include the gKAITO incentive mechanism, AI content recognition, on-chain behavior integration, and account label reconstruction to achieve a more credible and sustainable ranking system, supporting different projects in customizing ranking rules as needed. Kaito emphasized that this update is the starting point of a long-term improvement roadmap and will continue to iterate and optimize this system.
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Kaito has launched a new round of leaderboard mechanism upgrades, which will enhance content quality and anti-cheating measures.
Odaily News Kaito announced the first major upgrade of its ranking system, aimed at improving the quality and credibility of rankings, reducing spam information, ranking manipulation, and AI-generated content, while better identifying authentic creators and community members who have accumulated influence over time. This update includes a brand new ranking structure interface, where the "Creator Ranking" introduces a higher reputation threshold and dynamically adjusts based on project sync data, while the "Community Ranking" showcases users who are still in the growth stage but have a positive contribution to the project's content growth. Additionally, the new rules eliminate the contribution of reply-type content to rankings and enhance the filtering mechanism against spam accounts and cheating behaviors such as buying followers and interactions. The official stated that subsequent features will include the gKAITO incentive mechanism, AI content recognition, on-chain behavior integration, and account label reconstruction to achieve a more credible and sustainable ranking system, supporting different projects in customizing ranking rules as needed. Kaito emphasized that this update is the starting point of a long-term improvement roadmap and will continue to iterate and optimize this system.