Synopsis
To motivate authors to create high-quality content and enhance user engagement and community follower base, we propose a manuscript fee system linked to reading volume and fan conversion rate. The DAO2 multi-signature wallet will prepay 1000 rice to ben123 from DAO2 Discussions as the manuscript fee. ben123:0xb1C2271C329880250c51D6792e75ccA467e0373e
Motivation
Problem Addressed: Currently, authors on the DAO2 platform lack motivation, leading to varying content quality, low user engagement, and insufficient interaction and stickiness. Why Now: DAO2 aims to improve content quality, increase user interaction, and promote the overall healthy development of the platform's ecosystem through an incentive mechanism.
Specification
Execution Details:
- Manuscript Fee Calculation Formula: Manuscript fee = 80 rice × Reading coefficient × Fan conversion coefficient
- Base Manuscript Fee: 80 rice.
- Reading Coefficient: Determined by the volatility of the actual monthly article reading volume relative to the platform's average reading volume.
- Fan Conversion Coefficient: Determined by the volatility of the actual monthly new fan count relative to the platform's average new fan count.
- Manuscript Fee Cap: 200 rice.
- Effective Reading Standard: Set a minimum reading duration to ensure data authenticity.
- Anti-Cheating Mechanism: Utilize anti-cheating technology to detect abnormal traffic and fake follows, ensuring data accuracy.
- Settlement Cycle: At the beginning of each month, calculate the previous month's reading volume and new follower count, and complete the manuscript fee payment within the month.
- Payment Method: Manuscript fees are paid in rice through the DAO2 multi-signature wallet.
Rationale
Applicability:
- Incentivizing Creation: Tying reading volume and fan conversion rate directly to author earnings encourages the creation of high-quality content.
- Increasing Interaction: Enhancing author-reader interaction through fan conversion rates increases platform stickiness.
- Improving Platform Ecosystem: Overall, raising content quality and user engagement promotes a healthy platform ecosystem.
Risks
Potential Risks:
- Data Falsification: Authors may attempt to inflate reading volume and fan conversion rates through improper means.
- Content Quality Decline: Sole focus on data may lead some authors to neglect content quality.
Countermeasures:
- Anti-Cheating Mechanism: Enhance monitoring and detection to ensure data authenticity.
- Content Review: The platform will review all content to ensure compliance with community guidelines and legal regulations.
- Simplified Process: Simplify calculation and payment processes while ensuring effective incentives to improve user experience.
Timeline
Implementation Time: The plan should be implemented within one month after approval. End Time: Initially trial for six months, collect feedback and evaluate, then adjust or implement long-term based on the results.
--- nance-actions
- type: Transfer
uuid: 1f5e449ae48e47bfa49029de7b534fb5
payload:
chainId: 100
to: "0xb1C2271C329880250c51D6792e75ccA467e0373e"
amount: 1000
contract: "0x97Edc0e345FbBBd8460847Fcfa3bc2a13bF8641F"
governanceCycles:
- 19