🎉 [Gate 30 Million Milestone] Share Your Gate Moment & Win Exclusive Gifts!
Gate has surpassed 30M users worldwide — not just a number, but a journey we've built together.
Remember the thrill of opening your first account, or the Gate merch that’s been part of your daily life?
📸 Join the #MyGateMoment# campaign!
Share your story on Gate Square, and embrace the next 30 million together!
✅ How to Participate:
1️⃣ Post a photo or video with Gate elements
2️⃣ Add #MyGateMoment# and share your story, wishes, or thoughts
3️⃣ Share your post on Twitter (X) — top 10 views will get extra rewards!
👉
The Dilemma of InfoFi and Web3 Content Dissemination: Structural Issues Behind the Information Cocoon
Structural Issues in Web3 Content Dissemination: Not Just the Impact of InfoFi
Recently, discussions about InfoFi potentially causing an "information cocoon" have garnered widespread attention. After in-depth reflection and case analysis, I believe this phenomenon is not unique to InfoFi, but rather a structural result of content dissemination itself. InfoFi simply makes this phenomenon more apparent.
Essentially, InfoFi serves as an accelerator for project parties, aiming to enhance project visibility and user awareness. Project parties typically allocate budgets for InfoFi activities while seeking collaboration with marketing agencies capable of mobilizing large opinion leaders.
The formation of the information cocoon usually begins with upper-level content. Large opinion leaders accept advertisements and publish content, while medium and small opinion leaders follow suit. Additionally, the recommendation mechanism of social platform algorithms ultimately leads to users' information streams being filled with similar content about the same project.
This phenomenon existed before InfoFi emerged. Opinion leaders have been promoting, writing copy, and publishing advertisements. InfoFi simply systematizes this content distribution 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. However, this efficiency is based on an acceleration of the existing "attention structure" rather than a disruption of it. Project teams tend to allocate budgets to large opinion leaders, and this content is prioritized for release. The InfoFi mechanism also incentivizes small and medium creators to output concentrated content in a short time, and social platform algorithms quickly identify trending topics and continue to recommend them, forming a closed loop.
The relatively centralized sources of content and the similar writing goals of creators (engagement, scoring, gaining exposure) lead to a superficial diversity of content but substantial similarity, giving users a sense of "being trapped in a single project narrative."
Therefore, InfoFi did not create information bias, but instead amplified the existing structural bias in dissemination, transforming the originally dispersed and slowly fermenting information flow into a concentrated outbreak and wide-reaching traffic push.
The main concerns of users, such as high content redundancy, low quality, and serious AI homogenization, are not unique to InfoFi. These issues stem more from the budget allocation strategies of project parties and the concentration of market attention. In fact, InfoFi's scoring model has a certain counteracting mechanism, making mechanical and indistinguishable content difficult to score highly.
To improve user experience, the following strategies can be considered:
The ideal situation is that users participate in content creation not for rewards, but out of genuine interest. Rewards should be a pleasant surprise, not the primary motivation.
Overall, InfoFi makes the existing dissemination structure more transparent and evident. What truly needs to be addressed is how to make the dissemination structure healthier, whether by raising participation thresholds, optimizing incentive designs, or guiding project parties to manage airdrop expectations more naturally. The goal is to make "content meaningful," not just "content abundant."
If this goal can be achieved, InfoFi has the potential to become an important infrastructure for Web3 content systems, rather than just a traffic tool.