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On this page
  • 1. Identifying the Problems
  • 2. Codex’s Approach and Solutions
  • 3. Key Features and Benefits
  • User Journey Example
  • Authorship Fee
  • Interaction and Reward Distribution
  • 4. Conclusion and Future Plans
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Codex: Dictionary Concept Forum

This document outlines the challenges Codex aims to tackle, the solutions it offers, the platform's core features, and their impact on the ecosystem.

Introduction

Codex is an application categorized as "SocialFi," combining social media interaction with blockchain infrastructure. The primary goal of the application is to encourage quality content creation and genuine user engagement by providing economic and technological mechanisms that address many of the issues encountered in traditional social media (e.g., bot accounts, fake interactions, manipulation).


1. Identifying the Problems

1.1 Dead Internet Theory

The Dead Internet Theory suggests that a significant portion of online content is generated by bots or automation tools, reducing genuine human interaction. In this context:

  • Bot accounts and fake interactions undermine user trust.

  • Repetitive, similar content across platforms makes it difficult to distinguish real from fake engagement.

  • Data manipulation by major corporations or specific interest groups reduces users' trust in social media platforms.

Codex aims to address these issues by leveraging blockchain technology's transparency and distributed structures, offering a unique user experience.

1.2 Drawbacks of Traditional Social Media

  • Ease of Bot Creation: Free memberships and low verification barriers enable the formation of armies of fake accounts.

  • Manipulation and Spam: A significant portion of likes, comments, and shares are generated by "bots" or "click farms."

  • Lack of Trust: Users cannot be sure whether shared information is authentic or interactions are "organic."

  • Monetization Challenges: Content creators often struggle to earn fair compensation even on high-traffic social platforms.


2. Codex’s Approach and Solutions

2.1 Blockchain-Based Infrastructure

By recording interactions on the blockchain, Codex ensures that every action (e.g., posts, comments, likes) is transparent and traceable. Consequently:

  • Each interaction requires a gas fee or similar cost, making automated or spam interactions expensive and unsustainable.

  • Requiring users to connect their wallets (Web3) makes creating multiple fake accounts economically and technically challenging.

2.2 Authorship System and Fees

Users wishing to join as authors pay a specific authorship fee. The distribution of this fee across various components ensures the sustainability of the Codex ecosystem:

  • Contribution to the Reward Pool: A portion funds the reward pool for quality content creators.

  • Token Burning and Deflation: Some tokens are burned on the blockchain, reducing supply and establishing a deflationary model. This helps maintain token value over time without inflation.

  • Referral Rewards: Another portion supports the referral system, allowing authors to earn proportional income for inviting new participants.

  • Product Development Fund: The remaining portion supports Codex's technical improvements, marketing, infrastructure enhancements, and growth strategies.

2.3 Interaction Mechanisms

  • Percentage-Based Reward Model: Instead of fixed token rewards, percentage shares from the reward pool are distributed. This system incentivizes quality content that receives appreciation rather than maximizing the number of interactions.

  • Time Constraints and Costs: Time limits (e.g., restrictions on comments or likes within certain intervals) make bot/spam interactions more difficult. Gas fees for interactions render spam efforts economically unviable.

  • Post and Comment Rewards:

    • Authors earn proportional income from comments on their posts.

    • Commenters earn additional tokens based on the number of likes their comments receive.

    • This approach emphasizes not just the quantity of comments but the quality of interactions.

  • Referral System: Existing authors can invite new participants through referral links, earning proportional rewards. Referral rewards are calculated as a percentage to deter spam or fake referrals. The more active and qualified the referred user, the higher the earnings for the referrer.


3. Key Features and Benefits

3.1 Economic Deterrence

Gas fees, authorship fees, and proportional costs per interaction make bot armies expensive and unsustainable. Fake account-generated traffic, as highlighted in the "Dead Internet Theory," becomes economically unviable with Codex's model.

3.2 Encouraging Quality Content

The percentage-based reward model ties rewards to content quality. Rather than spamming irrelevant comments, creators are incentivized to produce posts that are truly valuable, engaging, and appreciated.

3.3 Deflationary Token Model

Burning a portion of authorship fees reduces token supply, helping control inflation within the ecosystem. As token demand grows, maintaining or increasing its value fosters long-term community trust.

3.4 Sustainable Development

Allocating part of the authorship fees to product development ensures continuous evolution of the platform in terms of technical and functional aspects. This creates funding for better user experiences (UI/UX), scalability improvements, marketing, and community management.

3.5 Organic Community Growth

The referral system motivates existing authors not just to generate "new accounts" but to invite participants who will actively contribute and create quality content. Platform expansion is driven by real individuals rather than spam or bots.

User Journey Example

Wallet Connection (Web3)

  • The user connects a wallet, such as Metamask, to Codex.

  • This allows the user to approve the necessary transactions for becoming an author or engaging with the platform.

Paying the Authorship Fee

  • If the user decides to become an author, they pay the authorship fee (including gas fees).

  • A portion of this fee goes to the reward pool, token burning, referral rewards, and platform development.

Sharing Content and Interacting

  • The author creates a post. The more comments it receives, the more additional earnings the author gains.

  • Users whose comments are liked earn proportional additional tokens.

Earning Rewards

  • Reward distribution within the system is automated through smart contracts based on specific time periods or the number of interactions.

  • Rewards come from the reward pool via a percentage-share mechanism.

Referral Income

  • Existing authors earn referral income by bringing new authors to the platform.

  • The activity and quality of interactions of the referred user determine the long-term earnings of the referrer.

Authorship Fee

Number of Authors
Authorship Fee (IVY)

1-100

10,000,000

101-200

9,500,000

201-300

9,025,000

301-400

8,573,750

401-500

8,145,062

501-600

7,737,808

601-700

7,350,917

701-800

6,983,371

801-900

6,634,202

901-1000

6,302,491

Sample pricing table that decreases by 95% for every 100 members. Authorship Fee Distribution

Distribution
Details

Membership Fee

10,000,000 IVY

Validity Period

1 Years

Amount Allocated to Reward Pool

50%

Amount to be Burned

10%

Referral Reward

10%

Amount Allocated to Liquidity Pool

10%

Amount Paid to Developers

15%

Amount Allocated to Project Reserve

5%

Interaction and Reward Distribution

Interaction Type
Recipient
Reward Percentage

When a topic is created

Author of the topic

0.000125%

When a topic is created

Referrer of the topic author

0.000025%

When a comment is made

Author of the comment

0.000025%

When a comment is made

Referrer of the comment author

0.000005%

When a comment is made

Author of the topic

0.000005%

When a like is given

Author of the like

0.000005%

When a like is given

Referrer of the like author

0.000001%

When a like is given

Author of the comment

0.000005%

All Interaction

BURN

0,000005%

4. Conclusion and Future Plans

Codex is an innovative "SocialFi" project addressing the trust issues caused by bots and fake interactions highlighted in the "Dead Internet Theory" through blockchain-based solutions. Its economic and technical structure aims to create a more transparent, fair, and incentivized environment for real users.

  • Reward System: Quality content, likes, comments, and referral mechanisms are rewarded.

  • Economic Structure: Token burning (deflation), reward pools, referral shares, and product development funds maintain a healthy ecosystem.

  • Community Growth: Users benefit not only by inviting new participants but also by ensuring the invited authors produce quality content for long-term rewards.

In the future, Codex aims to elevate the social media experience by integrating features such as better scalability, lower gas fees, mobile compatibility etc.


Frequently Asked Questions (FAQ)

  • Why do I need to pay an authorship fee?

    • To prevent the easy proliferation of bot accounts and sustain the ecosystem by funding the reward pool.

  • What is the purpose of token burning?

    • To gradually reduce token supply, creating a deflationary model that helps maintain long-term token value.

  • How do referral rewards work?

    • You earn a proportional share from the interactions of authors you invite via your unique referral link. Their activity and success on the platform increase your rewards.

  • How is quality content measured?

    • Metrics such as likes, comments, and community engagement are evaluated alongside time restrictions and gas costs to prevent spam behavior.

  • How is the project managed and updated?

    • The product development fund allows the team to make technical improvements and introduce new features or parameters based on community feedback.


Contribute

Codex values the opinions and suggestions of its community. If you have ideas for improving the information in this document or wish to share additional insights, please do not hesitate to get in touch. Together, we can build a more dynamic, reliable, and quality-focused social media experience.

PreviousHedgeNextEcosystem

Last updated 2 months ago

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