PUBLISH Protocol
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  • Web3 Ecosystem for News
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On this page
  • Incentive Mechanism Components
  • Formula for Reward Distribution
  • Publishers' Rewards
  • Reviewers' Rewards
  • Readers' Rewards
  • Example Scenarios
  • Conclusion
  1. Tokenomics
  2. Utilities

Incentives

PreviousUtilitiesNextToken Gating

Last updated 11 months ago

PUBLISH 2.0 motivates publishers, reviewers, and readers to actively participate in PUBLISH ecosystem. This mechanism involves earning and distributing rewards through tokens, which are regulated by formulas to ensure fairness and sustainability.

Incentive Mechanism Components

  1. Publishers:

    • Reward: Publishers receive $NEWS tokens for publishing high-quality content.

    • Evaluation: Quality is assessed based on peer reviews and reader engagement (likes, shares, comments).

  2. Reviewers:

    • Reward: Reviewers earn $NEWS tokens for providing thorough and constructive reviews.

    • Evaluation: Reviews are scored based on their helpfulness and accuracy, determined by both publishers and readers.

  3. Readers:

    • Reward: Readers earn $NEWS tokens for engaging with content (reading, liking, commenting).

    • Evaluation: Engagement is quantified by the frequency and quality of interactions.

Formula for Reward Distribution

Publishers' Rewards

The reward for the publisher 𝑅p𝑅_pRp​ is calculated as:

Rp=BpΓ—(Ep+Sr)TpR_p = \frac{B_p \times (E_p + S_r)}{T_p}Rp​=Tp​Bp​×(Ep​+Sr​)​

Where:

Reviewers' Rewards

Where:

Readers' Rewards

Where:

Example Scenarios

Publisher Reward Calculation

The reward for the publisher is:

Reviewer Reward Calculation

The reward for the reviewer is:

Reader Reward Calculation

The reward for the reader is:

Conclusion

This incentive mechanism for PUBLISH 2.0, aims to create a fair and motivating environment for all participants. The formulas ensure that rewards are distributed based on meaningful contributions, encouraging continuous engagement and high-quality content production. By implementing this model, PUBLISH 2.0 can achieve a dynamic and sustainable ecosystem.

RpR_pRp​: Reward for the publisher.

𝐡p𝐡_pBp​: Base reward for publishing an article.

𝐸p𝐸_pEp​: Engagement score (likes, comments, shares).

π‘†π‘Ÿπ‘†_π‘ŸSr​: Score from reviewers.

𝑇p𝑇_pTp​: Total number of articles published in a given period.

The reward for the reviewer π‘…π‘Ÿπ‘…_π‘ŸRr​ is calculated as:

Rr=BrΓ—QrΓ—VrTrR_r = \frac{B_r \times Q_r \times V_r}{T_r}Rr​=Tr​Br​×Qr​×Vr​​

π‘…π‘Ÿβ€‹π‘…_π‘Ÿβ€‹Rr​​: Reward for the reviewer.

π΅π‘Ÿπ΅_π‘ŸBr​: Base reward for reviewing an article.

π‘„π‘Ÿπ‘„_π‘ŸQr​: Quality score of the review (assessed by authors and readers).

π‘‰π‘Ÿπ‘‰_π‘ŸVr​: Volume of reviews (number of reviews submitted).

π‘‡π‘Ÿπ‘‡_π‘ŸTr​: Total number of reviews in a given period.

The reward for the reader 𝑅𝑒𝑅_𝑒Re​ is calculated as:

Re=BeΓ—(Le+Ce+Se)TeR_e = \frac{B_e \times (L_e + C_e + S_e)}{T_e}Re​=Te​Be​×(Le​+Ce​+Se​)​

𝑅𝑒𝑅𝑒Re: Reward for the reader.

𝐡𝑒𝐡_𝑒Be​: Base reward for engaging with content.

𝐿𝑒𝐿_𝑒Le​: Number of likes given.

𝐢𝑒𝐢_𝑒Ce​: Number of comments made.

𝑆𝑒𝑆_𝑒Se​: Number of shares.

𝑇𝑒𝑇_𝑒Te​: Total engagement actions in a given period.

Base Reward (𝐡p𝐡_pBp​): 100 $NEWS tokens.

Engagement Score (𝐸p𝐸_pEp​): 150 (sum of likes, shares, comments).

Reviewer Score (π‘†π‘Ÿπ‘†_π‘ŸSr​): 80.

Total Articles (𝑇p𝑇_pTp​): 50.

Ra=100Γ—(150+80)50=100Γ—23050=460R_a = \frac{100 \times (150 + 80)}{50} = \frac{100 \times 230}{50}= 460Ra​=50100Γ—(150+80)​=50100Γ—230​=460

Base Reward (π΅π‘Ÿπ΅_π‘ŸBr​): 50 $NEWS tokens.

Quality Score (π‘„π‘Ÿπ‘„_π‘ŸQr​): 90.

Volume of Reviews (π‘‰π‘Ÿπ‘‰_π‘ŸVr​): 10.

Total Reviews (π‘‡π‘Ÿπ‘‡_π‘ŸTr​): 100.

Rr=50Γ—90Γ—10100=450R_r = \frac{50 \times 90 \times 10}{100} = 450Rr​=10050Γ—90Γ—10​=450

Base Reward (𝐡𝑒​𝐡_𝑒​Be​​): 30 $NEWS tokens.

Likes (𝐿𝑒𝐿_𝑒Le​): 30.

Comments (𝐢𝑒𝐢_𝑒Ce​): 20.

Shares (𝑆𝑒𝑆_𝑒Se​): 10.

Total Engagements (𝑇𝑒𝑇_𝑒Te​): 200.

Re=30Γ—(30+20+10)200=30Γ—60200=9.0R_e = \frac{30 \times (30 + 20 + 10)}{200} = \frac{30 \times 60}{200} = 9.0 Re​=20030Γ—(30+20+10)​=20030Γ—60​=9.0