Gunjo · Business Intelligence for the AI Era
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AI Black PR Mass Rumor and Corporate Extortion Scam: Using Large Language Models to Mass-Produce False Negative Corporate Press Releases and Extort Exorbitant Fees Under the Guise of Post-Deletion PR Services

The primary victim groups are small and medium-sized consumer goods enterprises, restaurant chains, automobile dealerships, and medical aesthetic institutions—market entities that are highly sensitive to online public opinion. Such enterprises often lack professional PR teams and public sentiment monitoring capabilities. Once dense negative information appears on social platforms, management falls into panic, fearing that negative news will impact brand reputation and sales performance, leading them to eagerly seek quick post-deletion solutions. Black PR exploits corporate managers' ignorance of AI mass-content generation capabilities and their fear of losing control over public opinion, applying pressure with exorbitant fees under conditions of information asymmetry. Some enterprises are even unaware that these negative posts were automatically generated by the same syndicate using AI, mistakenly believing they represent genuine mass complaints from numerous consumers, and thus panic into paying unreasonable, high fees.

SCAM

Key Fields

FIELD STAMPS
IndustryMarketing / Advertising
RegionChina(中国大陆)
ScaleGray Market
ChannelOther
⚠️ This entry compiles scam tactics and public reporting; it is not investment or legal advice. Content is organized from public reporting and third-party complaint platforms; this site does not make any finding of illegality against the parties involved, who may contact us for correction if they object. If you encounter fraud, report it to the police immediately (110 / anti-fraud hotline 96110 in mainland China; local police overseas).

Who Gets Targeted

The primary victim groups are small and medium-sized consumer goods enterprises, restaurant chains, automobile dealerships, and medical aesthetic institutions—market entities that are highly sensitive to online public opinion. Such enterprises often lack professional PR teams and public sentiment monitoring capabilities. Once dense negative information appears on social platforms, management falls into panic, fearing that negative news will impact brand reputation and sales performance, leading them to eagerly seek quick post-deletion solutions. Black PR exploits corporate managers' ignorance of AI mass-content generation capabilities and their fear of losing control over public opinion, applying pressure with exorbitant fees under conditions of information asymmetry. Some enterprises are even unaware that these negative posts were automatically generated by the same syndicate using AI, mistakenly believing they represent genuine mass complaints from numerous consumers, and thus panic into paying unreasonable, high fees.

骗局怎么运作

  • Black PR syndicates first use AI tools to automatically crawl corporate negative keywords and trending events across major social platforms, complaint platforms, and forums, batch-identifying enterprises with public opinion risks as targets. They particularly focus on high-sensitivity industries such as food and beverage, automobiles, and medical aesthetics, establishing target enterprise lists for systematic layout to ensure every operation has a clear target for extortion.
  • Using large language models, the syndicate automatically rewrites fragmented complaint information and online rumors into dozens or even hundreds of negative press releases from varying angles. Each piece is micro-edited in wording to evade platform duplicate-checking mechanisms. The headlines are sensationalistic, and the contents rely on sweeping generalizations, heavily laced with vague sources such as 'according to consumer reports' or 'insider leaks,' making it difficult for readers to verify authenticity.
  • Controlling hundreds of self-media accounts and forum registration IDs, the syndicate uses automated publishing tools to simultaneously distribute AI-generated negative drafts to multiple news platforms, short video platforms, and social forums. Within a short time, they form a dense wall of negative information, manufacturing the illusion of a public opinion explosion that makes it difficult for target enterprises to complain and delete posts one by one. The information inundation effect leaves enterprises overwhelmed.
  • After the negative drafts are rolled out, syndicate members pose as PR companies or public opinion management service providers to proactively contact target enterprises. They claim they can help monitor and handle online negative information, quoting prices ranging from tens of thousands to hundreds of thousands of yuan, collecting fees under names such as 'post-deletion fees' or 'public opinion maintenance fees.' Payment methods are mostly private transfers or third-party collections to evade fund tracking.
  • Upon receiving payment from the enterprise, the syndicate deletes the previously published negative drafts from its own matrix while continuing to use AI to monitor whether new exploitable negative information appears regarding the enterprise. Some syndicates even sign long-term public opinion maintenance contracts with enterprises, collecting fixed monthly fees to form a sustainable extortion closed-loop, leaving enterprises under long-term coercion.
  • If an enterprise refuses to pay or attempts to report the matter to the police, the syndicate uses AI to generate even more aggressive negative drafts from sharper angles for retaliatory concentrated publishing, hinting in the articles that the enterprise suppresses public opinion rather than solving problems. This forces the enterprise to compromise under greater public sentiment pressure, creating a vicious cycle of fabricating rumors first, charging fees afterward, and escalating pressure if payment is withheld.

红旗信号(看到这些快跑)

  • 🚩 A large volume of highly similar negative drafts with minor wording adjustments appearing intensively across multiple platforms within a short period, with publishing accounts mostly being bulk-registered profiles with extremely low follower counts.
  • 🚩 Vague sources in negative drafts, frequently using untraceable expressions like 'according to consumer reports' or 'insider leaks,' lacking any first-hand evidentiary chain.
  • 🚩 So-called PR companies proactively contacting enterprises unable to provide legal business licenses, fixed office addresses, or formal service contracts, communicating exclusively via social software.
  • 🚩 Ambiguous fee categories, soliciting funds under non-standardized service names such as 'post-deletion fees,' 'public opinion maintenance fees,' or 'information optimization fees,' and demanding private transfers.
  • 🚩 A sudden surge in the number of negative drafts within a short period, accompanied by more emotionally provocative headlines, the moment an enterprise expresses hesitation or refuses cooperation.
  • 🚩 So-called PR service promises remaining strictly verbal or confined to simple chat logs, with a refusal to sign formal service contracts affixed with an official company seal.

真实案例

  • According to Toutiao reports, a syndicate used AI to mass-compile false negative drafts about enterprises, publishing over 700,000 articles and illegal gains exceeding 1.8 million yuan. The syndicate used large language models to rewrite fragmented online information into sensational negative press releases, mass-distributing them across multiple platforms via hundreds of accounts. After creating a wall of negative information, they extorted fees from enterprises under the guise of post-deletion PR, involving over 1.8 million yuan. They have since been investigated and cracked down on by public security organs.
  • According to Beijing Youth Daily reports, Shanghai police cracked down on a case involving the use of AI article-washing to fabricate and spread rumors about multiple car manufacturers including Xiaomi for profit, arresting two criminal suspects. The syndicate used AI tools to splice and rewrite scattered online information into negative articles about auto companies, mass-publishing them on social platforms to pressure related enterprises into paying fees, seriously disrupting normal business operations.
  • According to Sina News reports, Hangzhou police cracked down on the nation's first public opinion extortion case disguised as 'drama protection.' Led by core members including individuals A and B with a total of 10 participants, the syndicate published false negative information about the film and television industry online, then extorted fees from related parties under the names of post-deletion and public opinion maintenance. This case was listed as a typical exemplary case of the 'Net Cleansing 2026' special operation.

Official Stance

  • In March 2026, CCTV's 3-15 Gala exposed the AI brainwashing industry chain, calling out the gray industry chain that uses AI to mass-generate fake content and extort enterprises via black PR, calling for legislation to keep pace with algorithmic development.
  • On April 8, 2026, Xinhua News Agency published an investigative report exposing the criminal methods of a new type of internet water army that uses AI to catch trending topics and manufacture viral traffic, explicitly pointing out that AI mass-rumor mongering constitutes a criminal liability risk.
  • In 2026, Hangzhou police reported on the crackdown of the nation's first public opinion extortion case disguised as drama protection. This case was incorporated into the Ministry of Public Security's 'Net Cleansing 2026' special operation, warning enterprises that encountering public opinion extortion should prompt immediate reporting to the police rather than private payments.

How to Protect Yourself

  • ✅ When contacted by individuals claiming to be PR companies proactively pushing post-deletion services, immediately verify the opposing company's registration information, business scope, and operating status via official corporate credit publicity platforms. Refuse to cooperate with entities unable to provide legal qualifications, focusing on checking whether shareholders are batch-registered shell accounts, whether the establishment date was rushed just before the negative outbreak, and whether there are administrative industrial and commercial penalty records.
  • ✅ Upon discovering the concentrated appearance of large quantities of identical negative drafts within a short period, immediately screenshot and screen-record all drafts to preserve evidence, and simultaneously report the case to the platform's official complaint channels and the cybersecurity department of the local public security organ.
  • ✅ Never transfer funds to personal accounts for any individual or company demanding money under the name of post-deletion or public opinion maintenance. All PR services must be accompanied by a formal contract affixed with an official company seal and settled through corporate public accounts.
  • ✅ Establish an internal public opinion monitoring mechanism within the enterprise, assigning dedicated personnel to regularly screen for abnormal information publishing patterns on social media platforms, with a focus on instances where batch-registered accounts with extremely low follower counts concentrate on publishing similar negative content.
  • ✅ When encountering negative public opinion, prioritize handling it through regular legal channels, including commissioning lawyers to send attorney demand letters, filing official complaints and reports with platforms, and reporting to internet information authorities. Do not attempt to resolve issues privately through paid post-deletion methods.