Meta's New Facial Recognition Technology Targets Celeb-Bait Ad Scams

Tuesday, 22 October 2024, 02:52

Meta is testing facial recognition technology to detect celeb-bait scam ads and facilitate account recovery. Aimed to protect users, this initiative will help identify fraudulent ads that misuse celebrity images. Additionally, the use of video selfies is being explored for faster access recovery to locked accounts, enhancing overall security on the platforms.
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Meta's New Facial Recognition Technology Targets Celeb-Bait Ad Scams

Meta's Innovative Approach to Combatting Celeb-Bait Ad Scams

In a recent announcement, Meta has revealed its latest testing of facial recognition technology aimed at identifying celeb-bait ad scams prevalent on social media platforms like Facebook and Instagram. By leveraging this technology, the company intends to significantly reduce the occurrence of fraudulent ads that exploit the images of celebrities.

How the Technology Works

Meta's approach involves utilizing facial recognition to detect suspicious ads. By comparing faces in ads to the verified images of public figures on their platforms, the company aims to block scams effectively. If an ad is identified as fraudulent, it will be swiftly removed from view.

Facial Recognition for Faster Account Recovery

In addition to combating ad scams, Meta is also exploring how facial recognition can aid in account recovery. Users who find their accounts locked due to suspicious activity or forgotten passwords may soon be able to upload a video selfie. This innovative method promises a streamlined verification process, allowing Meta’s systems to compare uploaded videos with existing profile images.

Privacy Assurance

Meta assures users that it will not store facial data generated from these comparisons, ensuring user privacy. All video data submitted during account recovery will remain encrypted and completely inaccessible to anyone outside of the verification process, including friends or other users.


This article was prepared using information from open sources in accordance with the principles of Ethical Policy. The editorial team is not responsible for absolute accuracy, as it relies on data from the sources referenced.


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