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Content Neutrality Network (CNN)

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CNN Platform introduces several mechanisms/protocols related to content creation, distribution, circulation and revenue share.  CNN Platform combines personalized recommendation with the community votes to distribute the most relevant content to each user. CCM (Content Circulation Mechanism) is designed to stimulate seamless circulation of content among different communities.

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Overview

Project industryBlockchain Infrastructure
Product typeAppEcosystem
WhitepaperContent Neutrality Network White Paper Open

What is Content Neutrality Network

The native digital token of CNN Platform (”CNN”) is a major component of the ecosystem on the CNN Platform. CNN is a non-refundable functional utility token which will be used as the unit of exchange between participants on the CNN Platform, as well as the economic incentive which will be consumed to encourage participants to contribute and maintain the ecosystem on the CNN Platform.

Computational resources are required for running various applications and executing transactions on the CNN Platform, as well as the validation and verification of additional blocks / information on the blockchain, thus providers of these resources and services will require payment for required to be paid for the consumption of these resources and services.

CNN will be used as the unit of exchange to quantify and pay the costs of the consumed computational resources.

CNN is an integral and indispensable part of the CNN Platform, because in the absence of CNN, there would be no common unit of exchange to pay for these costs or provide the incentive for certain desirable behavior, thus rendering the ecosystem on the CNN Platform unsustainable.

Readers, content creators, and recommendation nodes are working under a unified reputation system. Peer review and token circulation can help to ensure the sustainable development of the whole system, resulting in the proper commercial revenue distribution among all of the participants in the community.

CNN Platform encourages the free circulation of articles, but the content created should be consistent with the tone of the community. It would be inappropriate for entertainment gossip to appear in a serious economic community. Therefore, the CNN Platform encourages authors to create content relevant to their communities in order to establish and maintain the tone of the community accordingly.

Details

Token supply: 30,000,000,000

Legal

Blockchain Platform: Ethereum
Country limitations: Canada, China, New Zealand, United States, South Korea,

Token info

Ticker: CNN
Type: Utility-token
Accepted currencies: ETH
Token distribution:
30% Private sales
20% NewsDog team
15%  Advisors and current investors
15%  Seeding users and ecosystem
20% D-Run Foundation reserves
Funds allocation:
60% R&D (developing CNN Platform protocol and migrate NewsDog to CNN Platform)
25% Marketing and developing the content communities
15% Operating and G&A costs

Content Neutrality Network Roadmap

1
2017 Q4

Project Research.

2
2018 Q1

Token Issuance.

3
2018 Q2 – Q4

Prototype Development.

4
2019 Q1 – 2019 Q3

Implementation and Promotion.

5
2019 Q4 – 2020 Q2

CNN II Development.

Project team

Forrest Chen
Forrest Chen
Strategy, management, and business alliance
Maggie Ma
Maggie Ma
Data analysis, content platform and operation team
Linjie Luo
Linjie Luo
Developing CNN’s next generation recommendation engine
Kevin Wang
Kevin Wang
Building and managing NewsDog and CNN's engineering team
Siddharth Puri
Siddharth Puri
CNN's strategic cooperation, sales and business development team
Lei Qi
Lei Qi
Mathematician and an expert on machine learning/statistical learning
Sanket Raskar
Sanket Raskar
Articulate and seasoned business development professional
Chris Li
Chris Li
NewsDog's growth hacking and recommendation related data analysis
Carlin Li
Carlin Li
Ray Tian
Ray Tian
Designing user acquisition and incentive model for NewsDog
Tony Zhu
Tony Zhu

Advisors

Shoucheng Zhang
Shoucheng Zhang
Advisor
Jianqing Fan
Jianqing Fan
Advisor
Michael Arrington
Michael Arrington
Advisor
Kunal Shan
Kunal Shan
Advisor
Yahui Zhou
Yahui Zhou
Advisor
Kevin Wen
Kevin Wen
Advisor
Mickey Tian
Mickey Tian
Advisor
Winnie Peng
Winnie Peng
Advisor

Social media

Content Neutrality Network web-siteContent Neutrality Network TelegramContent Neutrality Network X (Twitter)

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