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Chronicles

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[Thread] An AI-generated ad from a verified Twitter account linking to The Guardian and saying TV presenter Ian Wright is dead highlights Twitter's dysfunction

but also, how cheap and unwanted has Twitter ad inventory gotten that a scam like this even has a *chance* of making money? Like, email scams only “work” because sending email is ~free. A Twitter ad isn't! https://twitter.com/... Asif Hossain / @asifintoronto : Good summary of how broken Twitter's new verification system and ad standards are. There's no verification to stop fraud, nor is there any coherence or consistency to advertising rules. No reputable brand should spend a single dollar here. https://twitter.com/... Dr. Manisha Ganguly / @manisha_bot : First deep fake ad on Twitter (mis)using a Guardian link https://twitter.com/... See also Mediagazer

@emilybell Emily Bell

Context & Ripple Effects

Twitter's ad-review failures have a paper trail: in 2018 the platform let advertisers promote tweets with no linked profile at all, and weeks later approved an outright phishing ad disguised as a verification service. The difference now is generative: this is being called the first deepfake ad on the platform, arriving days after blue-check accounts posing as Bloomberg pushed an AI-generated Pentagon explosion image that briefly moved markets.

The scam's mechanics matter as much as its content — a verified account, a Guardian link borrowed for legitimacy, and an ad slot bought rather than a post that merely slipped through moderation. As Asif Hossain frames it, there is no verification left to stop fraud and no coherent ad standard, which makes the question Emily Bell raises pointed: if ad inventory were priced like attention rather than nearly given away, would a death-hoax scam even clear its own cost?

First-order effects

  • Ian Wright becomes the target of a monetized death hoax and the Guardian's brand is laundered through a fake link, forcing both to chase takedowns of an ad the platform itself sold placement for.
  • Advertisers reading Hossain's summary face a direct brand-safety verdict — no reputable brand should spend here — on top of existing friction like critical Community Notes attached to Apple, Samsung, and Uber ads.

Second-order effects

  • Paid blue checks stop functioning as a trust signal and start functioning as a purchase requirement for scammers, devaluing exactly the badge paying subscribers and advertisers are meant to be buying.
  • Deepfake scams graduate from organic virality to paid distribution — following the pattern of MrBeast's likeness used in a scam TikTok ad — pushing platforms to choose between ad revenue and fraud losses of the kind that cost advertisers billions in bot-click schemes.

Third-order effects

  • If verification is for sale and review is thin, the ad slot itself becomes the attack surface, and brand budgets migrate toward platforms where identity, inventory, and payout can all be audited.
  • Regulators and publishers get a concrete case for provenance standards on paid media specifically — not just user posts — since a synthetic ad wearing a news outlet's link attacks both advertiser trust and publisher brand at once.

The trend: Paid verification is turning the blue check from a trust marker into purchasable distribution, moving synthetic-media fraud from the timeline into the paid ad slot itself.