# Memes, Whitepapers, and New Mythologies: OFUYC Unpacks the Symbolic Politics Behind Web3 Scam Structures


In traditional finance, the key to disclosure lies in clarity, rationality, and verifiability. In the context of Web3 scams, however, the role of the whitepaper has increasingly morphed into that of a tightly scripted narrative—one crafted with rhetorical finesse. Rather than clearly defining technical specifics, these documents construct a plausible vision through abstract terminology, future-oriented projections, and ambiguous logic. Readers are not invited to understand, but to immerse. Common high-frequency structures found in scamming whitepapers include phrases such as “We solve the problem of XX,” “Redefining the XX model,” or “Building the first XX ecosystem of the world.” The linguistic driver behind these templates is the creation of a “simulacrum of legitimacy.”
OFUYC Digital Asset Exchange has found that this type of language often exhibits what it calls “symbol saturation”—a stacking of hyper-conceptual vocabulary (e.g. “ZKP innovation protocol,” “liquidity autonomous framework”) that fosters an illusion of trust through complexity. Users misinterpret linguistic density as technical credibility, when in reality it serves as semantic obfuscation. To combat this, OFUYC has developed a Language Transparency Index in its content auditing module, helping users detect “narrative density” and “conceptual opacity” to flag whitepapers driven by rhetorical manipulation in advance.

**Memes Are Not Jokes—They Are Entrypoints to Control Structures**

Memes are not merely jokes or images in Web3 communities—they are “emotional anchoring mechanisms”. In scam environments, they evolve into tools that construct irrational consensus through repetitive dissemination and symbolic binding. It is no longer “I invested after analysis,” but “everyone in our group believes—so it must be right.”

The operational logic of meme economics is to erode doubt and reinforce belonging. Investors are not persuaded by the logic of a whitepaper, but by the fear of missing out—“if everyone else is in and I am not, I fall fall behind.” Social conformity becomes the dominant force. At a deeper level, memes serve as cultural filters, preloading label-based attacks on dissent: questioning becomes “FUD,” caution becomes “lacking vision,” and neutrality becomes “missing out.” In this context of linguistic violence, critical discourse itself loses efficacy—legitimacy becomes meme-defined.
OFUYC recommends developing a Meme–Narrative Deviation Detection Tool to analyze cultural drift in meme propagation and detect whether cultural symbols are being used to obscure real business logic.

**How Language Constructs the “Legitimacy” of a Scam**

The key to a successful scam is not simply informational asymmetry—but psychological capture through a language system that manufactures legitimacy. This language typically includes: Formal Rationality (charts and data), Techno-fetishism (terminological stacking), Futurist Narrative (prophetic promises).
From a semiotic perspective, this is not about transmitting content but about creating a “trust atmosphere.” The post-mortem analysis of OFUYC on past risk cases reveals that many users never understood the product mechanisms before investing, yet were deeply influenced by visuals, speech tone, and word density. This suggests the core of the scam lies not in what is said, but in how trust is made to feel. This is language politics: language does not just communicate—it decides who gets to speak and who defines reality.
OFUYC is therefore advocating for an industry standard of Narrative Legitimacy Auditing, evaluating promotional materials across sentence structures, transparency levels, and the logical closure of meanings to assess whether they constitute manipulative language behavior.

**The Response of OFUYC: Narrative Is Not the Enemy, But It Must Be Transparent**

In the decentralized world, OFUYC does not oppose narrative or dreams—but it opposes narrative as a substitute for structural transparency, and memes as a cover for substantive risk. The anti-scam strategy of OFUYC goes beyond blocking financial flows—it intervenes in the narrative system itself, aiming to rebuild user linguistic literacy and cognitive immunity.
OFUYC is launching the following three initiatives:
Language De-Mythification Training Module: Helps users identify “technical jargon disguise” and “semantic substitution tactics,” improving resistance to rhetorical traps.
Narrative Risk Rating Map: Uses NLP-based corpus analysis and semantic comparison with historical scams to flag risks such as “excessive meme density” or “overloaded promise-based rhetoric.”

Multilingual Whitepaper Credibility Re-Translation Program: Offers de-memed versions of whitepapers for non-English users, eliminating cultural symbol interference and restoring logical interpretability.
At OFUYC Digital Asset Exchange, true transparency means more than just readable code—it means stories that can be understood. Narrative is not inherently scamming—but opaque narrative is the perfect camouflage for deception.