Content Production

Firstly, to maintain user activity, corresponding rewards and consumption scenarios have been set for activities such as posting, liking, and commenting. The entire production and consumption efficiency is regulated by user activity. Therefore, users maintain a higher level of activity in the network to ensure that their tokens can play a functional role (contribute to the community) and maintain their value.

Secondly, to create excellent content, a sophisticated reward mechanism has been set up. Posting content is an important source of token acquisition. The more and higher quality content a user posts, the higher their earnings will be, providing users with incentives to create more and better content. In the community, content quality is measured by the number of likes/dislikes and comments (user voting likes are based on the user's total coin holdings and activity). When a piece of content receives a higher number of likes, the author will receive a greater reward from that content. However, this type of incentive can easily lead to users hiring others to like their content. To prevent this phenomenon, a dislike option has been designed. After being disliked, the additional income brought by additional likes will decrease. The more dislikes, the faster the decrease. If an author with mediocre content hires many people to like it, they will easily receive dislikes from other users, leading to a decrease in their earnings.

Thirdly, to ensure that high-quality content is discovered, an incentive mechanism has been designed for those who discover such content. The more likes a user's liked contentreceives from subsequent users, the more earnings the user will receive. Since users have a limited number of likes they can give within a certain time frame, they must consider how to contribute those limited likes to the highest quality content that is most likely to be popular. When a piece of content receives more likes, it will have a greater chance of being recommended.

Lastly, to avoid low-quality content, a dislike mechanism has been set up. If a user is not satisfied with a piece of content, they can dislike it. Disliking will reduce the influence of that content and decrease the potential income it could bring. When the influence of the content drops below a certain threshold, it will be hidden by the system. The impact of dislikes is related to the number of tokens held by the disliker. A user with more tokens will have a greater impact on content ranking than a user with fewer tokens.