Hidden Ads No More: Under X's New Disclosure Rules, KOLs' Easy Money Model Faces Account Suspension Risks

比推Published on 2026-02-24Last updated on 2026-02-24

Abstract

X, formerly known as Twitter, is set to enforce stricter advertising disclosure rules, as announced by product lead Nikita Bier. The new policy will require users to clearly label paid promotions with tags like #ad or #sponsored. This follows a public intervention by Bier, who warned an influential account promoting Kalshi without proper disclosure of its financial ties. The article highlights several high-engagement “stealth ads”—posts disguised as organic content that are actually paid promotions—from accounts like @jota_snchez and @FluentInFinance, which garnered millions of views without disclosure. These posts often promoted prediction markets like Polymarket and Kalshi by leveraging FOMO and misleading narratives. The new rules aim to increase transparency, impacting Web3 projects and influencers who rely on undisclosed soft promotions for user acquisition. KOLs may face higher risks, including post removal and account suspension, while projects could see rising marketing costs. Alternatively, advertisers may shift budgets to X’s official promoted post system, potentially increasing the platform’s ad revenue. The move is expected to reduce deceptive marketing practices and improve user awareness in the long term.

Author: Sanqing, Foresight News

Original Title: X's New Advertising Disclosure Rules to Launch, Potentially Ending the Crypto KOLs' 'Easy Money' Model


On February 21, X platform product lead Nikita Bier (@nikitabier) publicly intervened in a post suspected of undisclosed paid promotion, directly requesting the original poster to add a disclosure statement or face account suspension. User @infodexx posted a list of the "Most Valuable Startups of 2025," with prediction market Kalshi ranking second with a $11 billion valuation, accompanied by Kalshi's green brand image and founder's photo.

The post garnered over 420,000 views, nearly 2000 likes, and hundreds of reposts. While it appeared to be an objective ranking, it was flagged in the reader community notes as "this is a paid post." Furthermore, @infodexx's bio explicitly states "@Kalshi partner," yet the original post lacked any clear disclosure labels like #ad or #sponsored.

Nikita Bier replied to the post on the same day: "Please add a follow-up reply disclosing this is a paid promotion for Kalshi. Otherwise, this will result in account suspension." Later, when user @AlexFinn complained about the X platform being flooded with undisclosed ads (especially posts related to prediction markets and AI), Nikita Bier further stated: "We are launching a disclosure feature for this type of issue next week."

High-Viewership Hidden Ads Will Be Brought into the Light

Below are several examples of high-viewership "hidden ads" selected by the author. These tweets appear to be natural shares but are suspected promotions lacking any disclosure labels. They attract high views, lure degens to follow the trend, yet evade responsibility.

A Spanish-language account @jota_snchez shared a story about a "Chinese student making a fortune on Polymarket," with over 1.29 million views, 7313 likes, and 312 reposts. The content detailed strategies with images and videos, seeming like an inspirational post but actually softly promoting Polymarket's money-making potential. No #ad label, yet indirectly hyping the platform—a classic disguise of experience sharing.

User @FluentInFinance quoted a Kalshi tweet, complaining "US 1% wealthier than middle class," with 1.68 million views, 150k+ likes, and 20k+ reposts. Superficially social commentary, it actually quoted Kalshi's "JUST IN" news, guiding users to bet on related events on the platform. Not labeled #sponsored, yet amplified exposure through high engagement. This is where Web3 degens often get tricked.

@Shelpid_WI3M "exposed" a 5-minute setup framework for Polymarket Clawdbot, with 940k views, 2940 likes, 6091 bookmarks. Detailed steps + link, seeming like a "free share" but actually promoting a copytrade tool, indirectly pulling new users to Polymarket. No disclosure of any partnership—this type of "developer perspective" hidden ad is the most deceptive for technical degens.

@karbonbased publicly "refused Kalshi collaboration but continues to shill Polymarket for free," with 95k views, 764 likes. Superficially a "principled" refusal, it actually promotes Polymarket indirectly. The word "free" is most suspicious—what's truly free in Web3? No #ad, yet using moral high ground to induce followers.

@pablofindsout uploaded a video discussing the nature of Polymarket and Kalshi, with 300k views, 1657 likes. Citing expert opinions, seemingly neutral but actually amplifying platform exposure—an unlabeled sponsored隐形广告片 (stealth ad video).

These examples show that high viewership does not equal sincerity. They rely on FOMO for viral spread but avoid disclosure, costing wallets dearly. After the new rules, similar tweets will be restricted.

Impact of X's New Rules on Web3 Marketing

For Web3 project teams, this means a significant increase in marketing costs. Many prediction market projects (like Polymarket and Kalshi) rely on KOLs' soft ads to drive user FOMO entry at low cost.

Now, the new rules require any content involving payment, gifts, affiliate links, or material incentives to be prominently labeled with "#ad," "sponsored," or "paid partnership," etc. Otherwise, the tweet will be directly removed, and the account faces suspension or even permanent ban.

In the short term, growth for these platforms will slow down. KOLs will hesitate to share freely, collaboration thresholds will be raised, and budgets will be forced towards more expensive channels.

For KOLs, the most direct impact is the end of the "low-effort easy money" model. In the past, many projects heavily relied on KOLs' "soft ad" strategy: disguising promotions as neutral experience sharing, data-driven complaints, or viral memes to create FOMO and drive user participation at low cost.

Now, forced explicit disclosure means KOLs can no longer hide commercial relationships and dare not casually "share naturally." Once detected by AI or reported, the risk of tweet deletion and account suspension is extremely high.

This will also raise the collaboration threshold between projects and KOLs. As risks increase, KOLs' rates may rise. But in the long run, this is positive for the Web3 ecosystem. Increased transparency will restore user trust in promoted content, reducing rug pulls and short-term speculation.

A common alternative is shifting to X's official Promoted Post system: these ads automatically carry "Promoted" or "Ads" labels, handled uniformly by the platform for disclosure, avoiding manual labeling risks. However, this also means project teams pay directly to X, concentrating more ad revenue into the platform's hands rather than dispersing it to KOLs.

X's move also likely aims to enhance its own advertising monetization capability. By enforcing explicit disclosure and promoting official ad tools, the platform can attract more budgets into its own system, capturing the share of "hidden ads" that originally flowed to KOLs, further strengthening its position as an ad revenue source, especially in competitive fields like prediction markets and AI content.


Twitter:https://twitter.com/BitpushNewsCN

Bitpush TG Discussion Group:https://t.me/BitPushCommunity

Bitpush TG Subscription: https://t.me/bitpush

Original article link:https://www.bitpush.news/articles/7614106

Related Questions

QWhat new policy is X platform introducing regarding paid promotions?

AX platform is introducing a new policy that requires any content involving paid promotions, giveaways, affiliate links, or material incentives to be clearly labeled with disclosures such as '#ad', 'sponsored', or 'paid partnership'. Failure to comply will result in post removal and potential account suspension or permanent ban.

QWho is Nikita Bier and what action did he take on February 21st?

ANikita Bier is the Product Lead at X platform. On February 21st, he publicly intervened on a post by user @infodexx that was suspected of being an undisclosed paid promotion. He instructed the user to add a disclosure statement or face account suspension.

QWhat are some examples of high-engagement 'stealth ads' mentioned in the article?

AExamples include a Spanish account @jota_snchez sharing a story about a Chinese student making money on Polymarket (1.29M views), @FluentInFinance criticizing wealth inequality while referencing Kalshi (1.68M views), and @Shelpid_WI3M sharing a 'setup framework' for a Polymarket tool (940k views). All lacked proper disclosure tags.

QHow will the new disclosure rules impact Web3 projects and KOLs according to the article?

AFor Web3 projects, marketing costs will rise as they can no longer rely on low-cost, undisclosed KOL soft promotions. For KOLs, their 'easy money' model of sharing undisclosed ads will end, forcing them to properly label content. This raises the cooperation threshold and may increase KOL pricing due to higher risks.

QWhat is a potential alternative for advertisers under the new rules, and what is X platform's possible motive?

AA common alternative is to use X's official Promoted Post system, which automatically labels ads as 'Promoted' or 'Ads'. The article suggests X's motive may be to increase its own advertising revenue by redirecting budgets from KOL 'stealth ads' to its official ad platform, especially in competitive areas like prediction markets and AI content.

Related Reads

Google and Amazon Simultaneously Invest Heavily in a Competitor: The Most Absurd Business Logic of the AI Era Is Becoming Reality

In a span of four days, Amazon announced an additional $25 billion investment, and Google pledged up to $40 billion—both direct competitors pouring over $65 billion into the same AI startup, Anthropic. Rather than a typical venture capital move, this signals the latest escalation in the cloud wars. The core of the deal is not equity but compute pre-orders: Anthropic must spend the majority of these funds on AWS and Google Cloud services and chips, effectively locking in massive future compute consumption. This reflects a shift in cloud market dynamics—enterprises now choose cloud providers based on which hosts the best AI models, not just price or stability. With OpenAI deeply tied to Microsoft, Anthropic’s Claude has become the only viable strategic asset for Google and Amazon to remain competitive. Anthropic’s annualized revenue has surged to $30 billion, and it is expanding into verticals like biotech, positioning itself as a cross-industry AI infrastructure layer. However, this funding comes with constraints: Anthropic’s independence is challenged as it balances two rival investors, its safety-first narrative faces pressure from regulatory scrutiny, and its path to IPO introduces new financial pressures. Globally, this accelerates a "tri-polar" closed-loop structure in AI infrastructure, with Microsoft-OpenAI, Google-Anthropic, and Amazon-Anthropic forming exclusive model-cloud alliances. In contrast, China’s landscape differs—investments like Alibaba and Tencent backing open-source model firm DeepSeek reflect a more decoupled approach, though closed-source models from major cloud providers still dominate. The $65 billion bet is ultimately about securing a seat at the table in an AI-defined future—where missing the model layer means losing the cloud war.

marsbit1h ago

Google and Amazon Simultaneously Invest Heavily in a Competitor: The Most Absurd Business Logic of the AI Era Is Becoming Reality

marsbit1h ago

Computing Power Constrained, Why Did DeepSeek-V4 Open Source?

DeepSeek-V4 has been released as a preview open-source model, featuring 1 million tokens of context length as a baseline capability—previously a premium feature locked behind enterprise paywalls by major overseas AI firms. The official announcement, however, openly acknowledges computational constraints, particularly limited service throughput for the high-end DeepSeek-V4-Pro version due to restricted high-end computing power. Rather than competing on pure scale, DeepSeek adopts a pragmatic approach that balances algorithmic innovation with hardware realities in China’s AI ecosystem. The V4-Pro model uses a highly sparse architecture with 1.6T total parameters but only activates 49B during inference. It performs strongly in agentic coding, knowledge-intensive tasks, and STEM reasoning, competing closely with top-tier closed models like Gemini Pro 3.1 and Claude Opus 4.6 in certain scenarios. A key strategic product is the Flash edition, with 284B total parameters but only 13B activated—making it cost-effective and accessible for mid- and low-tier hardware, including domestic AI chips from Huawei (Ascend), Cambricon, and Hygon. This design supports broader adoption across developers and SMEs while stimulating China's domestic semiconductor ecosystem. Despite facing talent outflow and intense competition in user traffic—with rivals like Doubao and Qianwen leading in monthly active users—DeepSeek has maintained technical momentum. The release also comes amid reports of a new funding round targeting a valuation exceeding $10 billion, potentially setting a new record in China’s LLM sector. Ultimately, DeepSeek-V4 represents a shift toward open yet realistic infrastructure development in the constrained compute landscape of Chinese AI, emphasizing engineering efficiency and domestic hardware compatibility over pure model scale.

marsbit1h ago

Computing Power Constrained, Why Did DeepSeek-V4 Open Source?

marsbit1h ago

Trading

Spot
Futures
活动图片