Meta Expands Facial Recognition to Protect Users

Adshine.pro10/02/202510 views
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Meta is broadening its use of facial recognition technology in an effort to crack down on the growing wave of celebrity scams—schemes that leverage famous identities to mislead unsuspecting users.

 

The company has been working on facial ID applications for some time. Over the past year, Meta has experimented with using video selfies for account recovery, effectively allowing users to confirm their identity through a facial scan.

 

That same process was extended earlier this year to celebrity accounts in the U.K. and EU, as part of a wider campaign to combat so-called “celeb-bait” scams. With this system in place, Meta can cross-check faces appearing in ads against its database of high-profile figures. When the system detects a match, it then verifies the legitimacy of the promotion with the celebrity’s official profile.

 

After initial trials with a limited set of celebrities in Europe, Meta is now expanding the program to cover a broader range of public figures.

 

As the company explained:

“We’re further expanding our use of facial recognition technology to crack down on suspicious accounts impersonating public figures in the EU, UK, and South Korea. In the coming months we also plan to expand our use of this technology to Instagram.”

 

So far, the rollout is confined to just three regions, but Meta seems encouraged by the early results. Since introducing the celeb-bait detection process, reports of fraudulent celebrity ad scams have fallen by 22%.

 

The company also claims its automated detection tools are improving rapidly.

 

“The expansion of facial recognition technology in particular more than doubled the volume of celebrity-bait scam ads we were able to detect and remove in testing. Today, there are nearly 500,000 public figures that are being protected from having their likeness misused in these scams.”

 

The numbers are promising. Still, there remains an underlying unease with facial recognition, particularly when it involves Meta.

 

The company’s history on this front is complicated. In 2021, Meta was forced to shut down its facial recognition systems on Facebook after backlash over automated photo tagging, which regulators found in violation of biometric privacy laws. The fallout led to billions in settlement costs and renewed public skepticism about how tech firms use—and potentially misuse—biometric data.

 

Beyond Meta, the broader debate over facial recognition remains unsettled. In some places, it’s being deployed to scan attendees entering sports arenas, cross-referencing their identity with law enforcement and credit databases in real time. In China, the technology has been taken much further: used to fine jaywalkers, penalize unpaid parking violations, and even track Uyghur Muslims under government surveillance.

 

These examples underscore the darker possibilities of the technology, fueling ongoing concerns about privacy, overreach, and abuse. Against that backdrop, Meta’s decision to reintroduce facial recognition, even in limited form, is notable.

 

Yet the logic is clear. As an identification tool, facial recognition has undeniable utility, and Meta appears to be wagering that public acceptance will grow over time. For now, the company is moving carefully, expanding the program incrementally while monitoring public reaction.

 

In practice, it may prove an effective safeguard against celebrity scams. But whether users are ready to trust Meta with their faces again is another matter entirely.

 

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