Revolutionizing Security: Meta Utilizes Facial Recognition Technology to Combat Celebrity Impersonation Scams

Revolutionizing Security: Meta Utilizes Facial Recognition Technology to Combat Celebrity Impersonation Scams

Meta Platforms Inc. has announced a new trial involving facial recognition technology to combat scams that exploit images of celebrities, known ‍as “celeb-bait ads.” The company plans to enroll nearly 50,000‍ public figures in a global‌ trial starting in December, excluding certain jurisdictions ‌without regulatory⁤ clearance.

The new method involves ‌using facial recognition to ​compare ‍faces in ads to public figures’ profile pictures on Facebook and Instagram. If ⁤a match is found and the ad is deemed fraudulent, it will be ‍blocked immediately. Any facial data used for this purpose will be deleted⁣ after the comparison.

Initial testing with select celebrities has shown promising results in detecting and taking action against scams‍ like celeb-bait ads. Meta intends to expand this effort by notifying more ‌public figures targeted by such scams through⁣ in-app notifications.

Scammers often use celebrity images to lure users​ into engaging with fraudulent ads that lead⁤ to scam websites.‍ Meta’s automated ad review system utilizes machine learning technology to detect and prevent such violations.

In addition to facial recognition technology, Meta is also testing⁣ video selfies as a way for users on Facebook and ⁣Instagram to verify their identity and regain access to locked accounts. This verification method aims to provide enhanced protection against ⁣hackers exploiting account recovery tools.

The tool being tested underwent rigorous privacy reviews internally at Meta and was discussed with regulators, ​policymakers, and privacy experts before implementation. Despite facing lawsuits related to misuse of‍ celebrity images, Meta⁣ remains committed to enhancing user security on ⁢its platforms through innovative technologies like facial recognition and video selfie verification.
Source from www.ibtimes.com

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