Bottlenecks of Web2 Social Networks and the Potential of Web3 Social Networks

In the current Web2 social products, platforms like Twitter and Facebook dominate the global social network market. These platforms have successfully attracted billions of users by offering information exchange, content publishing, and social interaction. However, traditional social platforms still face significant limitations and contradictions, preventing users from truly benefiting from social value in their interactions.

1.Limitations of Web2 Social Products

• Value Disconnection Between Users and Platforms: In the Web2 era, most revenue for social platforms comes from advertising and data mining. User data is continuously collected and sold to advertisers, monetizing it. Although users are the primary contributors of this data, they cannot directly benefit from its trading and circulation. This asymmetry in value creation and distribution casts users as passive data providers who cannot enjoy the economic benefits of their data.

• Lack of AI and User Interaction Scenarios: While Web2 social products have implemented AI technology in information push and personalized recommendations, the development and deployment of these technologies are controlled by a few platform giants, preventing users from directly participating in training and optimizing AI models. This means users cannot influence recommendation algorithms or content generation and unwittingly provide training data for free without any feedback or reward.

• Users as Passive Consumers in the Social Economy: In the existing Web2 model, ownership and control of social platforms are highly concentrated. Users can only participate in social activities through passive content consumption and interaction, without direct opportunities in the economic model. This keeps users in a position of passive consumption and data exploitation, unable to create value in a decentralized social network.

2.The Rise of Web3 and New Opportunities

With the emergence of decentralized technologies (such as blockchain and AI-driven social models) and Web3, the shortcomings of traditional Web2 social platforms have become apparent, prompting the industry to seek new models to address these issues. Users should not just be data contributors but should also be participants and beneficiaries of the social economy. Under this trend, Web3 social platforms have emerged to offer users better social data ownership and economic returns through token economies, social influence capture mechanisms, and node operations.

Metya stands on this market demand, encouraging users to participate collectively by building a user-centered Web3 social infrastructure, thereby transforming the exploitation of user data in existing social products. Through decentralized technologies and AI-driven interaction mechanisms, Metya allows users to earn from social interactions and enables their involvement in model training and economic system construction, making them indispensable parts of the entire ecosystem.