Structural Issues in Web3 Information Dissemination

Recently, the discussion about whether InfoFi will lead to an "information cocoon" has garnered widespread attention. After in-depth thinking and case analysis, I believe this is not a problem unique to InfoFi, but rather a structural result of content dissemination itself. InfoFi merely makes this phenomenon more apparent.

Essentially, InfoFi serves as an accelerator for project teams, aiming to enhance project visibility and user awareness. Project teams typically allocate budgets for InfoFi activities while seeking support from marketing agencies, especially those capable of mobilizing large opinion leaders.

The formation of information cocoons often begins with top-level content. After large opinion leaders release advertising content, smaller opinion leaders tend to follow suit. Coupled with the recommendation algorithms of social platforms, users' information streams are quickly occupied by similar content related to the same project.

This phenomenon is not unique to InfoFi. Before InfoFi emerged, opinion leaders also accepted promotions, wrote articles, and published hard ads. InfoFi simply systematized this content delivery mechanism, making the rules of dissemination clearer and more visible.

InfoFi is considered to amplify information bias because it enhances the efficiency of information organization and dissemination, but this efficiency is accelerated based on the existing "attention structure" rather than being disruptive. Project parties tend to allocate budgets to major opinion leaders, and this content is prioritized for release. The InfoFi mechanism also incentivizes small and medium creators to produce content in a concentrated manner within a short time, making it easier for social media platforms' recommendation algorithms to identify "currently trending topics" and continuously recommend similar content, forming a closed loop.

In addition, the sources of content are relatively centralized, and the writing goals of creators are similar: to participate, score, and gain exposure, rather than to analyze the projects in depth from different angles. This leads to users seeing content that appears different on the surface, but is actually similar, gradually creating a sense of being "trapped in a single project narrative."

InfoFi did not create information bias, but it did amplify the existing structural bias in dissemination. It transformed the previously spotty distribution and slowly fermenting information flow into a concentrated outbreak and widespread coverage of traffic push.

The anxiety of users mainly comes from the following points:

1. High content redundancy: This is the result of the project's budget structure, rather than a problem unique to InfoFi.

2. Low content quality and serious AI homogenization: In fact, InfoFi's scoring model has an adversarial mechanism, making it difficult for purely AI-generated content to achieve high scores. High-quality content still relies on excellent narrative structure, quality of viewpoints, and interaction data.

3. The InfoFi event is filled with a sense of "hard advertising" after its launch: this is the most intuitive feeling of users. It can be improved by weakening the sense of ceremony surrounding "project launch" and introducing a self-service advertising mechanism.

The key to solving these problems lies in optimizing the dissemination structure. Consider raising the participation threshold, improving incentive design, or guiding project teams to more naturally set airdrop expectations to promote "meaningful content" rather than merely "content quantity."

Ideally, InfoFi can become a data dashboard that allows both new and old projects to track community interaction data and attract ongoing attention. Project teams can quietly distribute airdrops after the token generation event to reward users who engaged naturally in the early stages, fostering the expectation that "participation may be rewarded" rather than encouraging the behavior of "only those who push the rankings will be rewarded."

When this mechanism matures, and numerous projects are operating quietly in the market, with data dashboards becoming a part of the Web3 content ecosystem, users will develop a positive expectation: participation is driven by interest, rather than solely for rewards. Rewards will then become an additional gain after participation.

Overall, InfoFi makes the existing dissemination structure more transparent and amplified. The focus in the future should be on how to make the dissemination structure healthier. If this can be achieved, InfoFi will not only be a traffic tool but will also become an important infrastructure for the entire Web3 content system.