I am still trying to learn about Hive, and generative AI seems to be very clear about explaining stuffs. It is easier than me reading the manual. But is the following generated by Claude true?

Can experts among you verify? I indicated my doubts below.

Hive Curation Rewards Explained

Curation rewards on Hive are determined through a complex system designed to incentivize users to discover and promote quality content. Here's how it works:

Key Factors in Curation Rewards

1. Vote Timing:
   • Early votes receive higher curation rewards ("early voter advantage")
   • The reward curve starts at the moment content is published and gradually declines
   • Voting within minutes of posting typically yields the highest potential returns
     ~ is this true?

1. Voting Power:

   • Determined by the amount of Hive Power (HP) you have staked
   • Each vote uses 50% of your voting power by default (can be adjusted)
   • Voting power regenerates at 20% per day

2. Vote Weight:

   • You can adjust from 1-100% of your voting strength per vote
   • Higher weight votes yield higher potential rewards but deplete voting power faster

3. Content Performance:

   • The total rewards a post generates affects your curation reward
   • If a post attracts more votes after yours, your curation reward increases
     ~ is this true?

Calculation Formula

While the exact formula is complex, the simplified version is:

Curation Reward = (Your Vote Weight × Timing Factor × Your Hive Power) ÷ (Total Votes on Post) × (Post's Total Reward) × 50%

• Content creators receive 50% of post rewards
• Curators split the other 50% based on their voting contribution

Strategic Considerations

• Voting too early (within minutes) risks "self-voting" penalties if the author downvotes
• Finding the optimal timing between early voting and assessing content quality
• Balancing between spreading votes widely or concentrating on fewer promising posts
• Building relationships with quality content creators to find posts early

The system is designed to reward those who discover valuable content early and help bring it to wider attention, functioning as a decentralized content discovery mechanism.​​​​​​​​​​​​​​​​

Posted Using INLEO