CNN (Content Neutrality Network) is a revolutionary content ecosystem based on blockchain technology. It breaks the content barriers between communities, innovates the revenue distribution mechanism, and implements a decentralized customer acquisition and incentive model. It aims to create a new era of content that is more open, efficient and trustworthy. CNN token is the platform currency of CNN platform, which is used to reward community participants, including: readers, authors and recommendation nodes.

Project Vision

CNN chose to combine blockchain technology with the content industry on the basis of Ethereum and smart contracts to create a more open, fairer and more efficient ecosystem for all content communities. With this new content ecosystem, we aim to:

1. Solve the problems that in the existing content system, each company is in its own way, the content cannot be seamlessly circulated, and the cost of users acquiring high-quality content and community aggregation of high-quality content is high. For creators, their content can be circulated in a wider range more efficiently, especially allowing high-quality content and content creators to get greater exposure. For content consumers, our goal is to implement personalized recommendations on the blockchain, making it easier for content consumers to find high-quality content that matches their interests.

2. Solve the problem of unfair income in the existing content system. In a content ecosystem, the core roles are content producers and consumers, one creates content and the other pays attention. However, in the existing system, the recognition of the value created by the two roles is not enough, and the distribution of benefits is not enough, especially the latter hardly participates in the distribution of benefits. Therefore, our second goal is to change the existing income distribution mechanism and determine the income distribution according to the contribution of different roles.

3. Solve the problems of complex and inefficient customer acquisition and incentive models in the existing content system. We hope to turn the centralized customer acquisition and incentive model in the existing content system into a spontaneous and autonomous system with the help of blockchain technology and the concept of community. So that more users can join this new ecosystem more naturally without the need for certain centers and their investment.

Project Highlights

Open
The CCM (Content Circulation Mechanism) mechanism promotes the seamless flow of content among communities.

Fair
CBRS (Contribution Based Revenue Share), a revenue distribution model based on smart contracts, allows all participants to get the rewards they deserve.

Trust
The distributed reputation mechanism based on ZhangRank enables all parties to gain mutual trust without the participation of a third party.

Application scenario

The NewsDog team will work closely with the CNN team to migrate parts of NewsDog to the CNN protocol in mid-2018.

1. CNN-based recommendation system

For content platforms, recommendation is the core, and it is also the most resource-intensive and cost-intensive task. A high-quality recommendation system requires long-term accumulation. On the other hand, for users who consume content, in order to obtain accurate recommendations, privacy has become the price that must be paid. The recommendation system based on the CNN protocol can solve these two problems well.

NewsDog's recommendation system is based on a wide range of user portraits and user data, and centralized portrait and data storage and calculation methods have become a time-consuming and labor-intensive burden. Through the recommendation system based on the CNN protocol, the user feature model is distributed and stored in each node of the blockchain, which can reduce the pressure on the central recommendation node. For users, distributed anonymous storage can also completely eliminate privacy issues.

2. CNN-based advertising revenue sharing model

Users play a very important role in the current Internet content ecology. Content communities use users' attention to earn advertising value, but users cannot participate in the commercial profit sharing.

Based on the CNN agreement, the advertising revenue of the NewsDog community will be shared with users, reprinters and recommendation nodes in addition to content creators.

The content author of NewsDog is the source of the content ecology, so it is also the role with the largest proportion in the entire revenue sharing model. Authors can get a proportional share when their articles are read, reposted and commented on. In CNN's copyright protection mechanism, if an author's copyright is violated, the author will be compensated.

As a new income distribution role in the CNN system, NewsDog users can earn benefits by reading articles, posting comments, and likes; the more active they are in the community, the more income they will earn. At the same time, users also undertake the important task of circulating content between communities, and can obtain corresponding benefits through the performance of the reprinted articles after reposting articles.

In addition, as a unique role, the recommendation node plays an important role in the CNN system and will also receive a corresponding proportion of benefits.

3. Multi-level incentive system

Because of the centralized setting, the traditional incentive system poses great challenges to rule planning and operation. Each incentive activity requires a high operating cost, and the effect of the incentive cannot be guaranteed. NewsDog's multi-level incentive system based on the CNN protocol can well solve the problems of investment and efficiency.

Because the invitation records are distributed and recorded in the entire blockchain, it can reduce the operator's server and computing investment. Currently, NewsDog has a two-tier incentive system. With the help of the CNN protocol, NewsDog can expand the two-tier into multi-tier, amplify the role of user invitations, and optimize the effect of incentives. Due to the introduction of CNN tokens, users who participate in incentives can get incentive rewards faster, which greatly shortens the incentive cycle to one day, and can also greatly promote the enthusiasm of motivating users to participate.

4. NewsDog MALAMAAL - Extension of Incentive Mode

NewsDog is the first player to bring the live quiz mode to India. The combination of live broadcast and incentives makes this model a brand-new customer acquisition tool. Within the CNN system, NewsDog MALAMAAL has evolved live contests from simply acquiring customers to an advanced version where users can pay to participate and get more services. So we introduce NewsDog MALAMAAL Store. NewsDog MALAMAALStore provides players with various game value-added services. All value-added services are settled by CNN coins. The following introduces some common value-added services and their usage scenarios.

The rule of the game is to answer all 12 questions correctly to share the current CNN rewards with other winning users. In order to increase the fun, the game introduces privileges such as resurrection cards. Invite users to participate, and you can get a resurrection card to increase the chance of winning the game. In the competition mode, the following privileged products can be purchased in the mall:

Resurrection card: When the game is out of the game, use this card to revive
Hint card: Use this card during the game to get the correct answer hint
Pass card: If the user does not know the correct answer, you can use it Skip this card and go to the next question

5. Fantasy Cricket League

As the national sport of India, cricket is known as the "second religion" of the Indian people. Data shows that the IPL league and IPC tournament held during April-June 2017 attracted the attention of nearly 800 million Indians. During the Cricket World Cup, it brought hundreds of millions of dollars of consumption to India. As India's largest news app, NewsDog will develop Fantasy Cricket League to meet users' entertainment and information needs. Fantasy Cricket League is a cricket game. Users can play the role of team manager and invest in the team, earning income through the team's performance in the league. The specific rules are as follows:

1. Users pay a certain amount of CNN coins to build a team
2. Every season, the team manager can recruit for his team through player drafts
3. After all players are selected , the season officially begins. At the specified stage of the season, team managers can trade players through CNN
4. At the end of the season, the manager can obtain corresponding rewards based on his team's ranking in the league

6. Other modes

6.1 Constellation culture payment

Constellation culture is quietly entering people's lives. In order to meet the needs of users, many media, including China and India, have specially opened up astrology sections, and many self-media have also joined the army of astrology culture. For example, Vogue India has 1.12 million fans on Twitter, and every day it publishes an article related to astrology. information, and analyze the horoscope; while China's self-media fellow uncle has 13.62 million fans on Weibo alone, and each message has a large number of reposts and likes. In order to meet the needs of users for constellation information, NewsDog has developed paid services for constellation culture, as follows:

1. Personalized horoscope information: Users pay a certain amount of CNN coins as a service fee, enter their personal information, such as date of birth, place of birth, blood type, etc., to obtain exclusive horoscope information;
2. Big V’s professional horoscope Q&A: users pay a certain amount of CNN coins, and invite the media and self-media who are stationed in NewsDog to provide customized horoscope information

6.2 Paid Q&A

In the era of information explosion, question-and-answer applications such as Quora and Zhihu have been derived to help users effectively delete and filter information. The spread and practicality of this model among users determine its development potential and living space. Therefore, NewsDog takes advantage of its own information platform to incubate this question-and-answer mode to provide users with more comprehensive services. The specific implementation forms are as follows:

Crowdfunding question and answer: users pay CNN coins and ask a certain big V to answer a certain question; other users can continue to pay CNN coins if they are interested; if the big V answers, they can get CNN coins paid by all users, otherwise CNN coins paid by users will be returned in the original route

1-to-1 professional Q&A: Users can choose content creators they trust in the content community, and pay CNN coins to ask them questions to obtain 1-to-1 professional Q&A service. Content creators can get CNN coins paid by users for answering questions

6.3 Public welfare

The practicality of the Internet lies not only in the dissemination of information, but also in shortening the distance between people. This provides a good opportunity for the promotion and development of public welfare undertakings. As the largest news app in India, using its platform to promote public welfare is not only a due corporate responsibility, but also aggregating users to help each other. In view of this, NewsDog has set the following application scenarios for the public welfare sector based on the open and non-tamperable characteristics of the blockchain:

1. Help-seeking users can publish help-seeking information on the platform and upload corresponding documents for review;
2. Users can choose to donate CNN coins to help after seeing the help-seeking information;
3. After the help-seeking information is approved, it will be You can get CNN coins donated by other users;
4. The platform and help-seekers regularly release the latest rescue status to be open and transparent to avoid fraud.

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