Facebook & Instagram to Launch Facial Recognition Technology to Combat Celebrity Scam Ads

Meta, the tech giant behind Facebook and Instagram, is taking a bold new step to combat the surge of celebrity scam ads. These deceptive ads often exploit famous personalities like Elon Musk and financial expert Martin Lewis. They lure unsuspecting users into investment and cryptocurrency scams.

By adding ‘facial recognition’ technology to its arsenal, Meta aims to stop scammers from tarnishing the reputations of high-profile figures and misleading users with fake endorsements.

This move signals a substantial upgrade to Meta’s ad review system. It already uses artificial intelligence to detect and filter out fake celebrity endorsements. However, Meta is now raising the stakes with facial recognition, a tech that promises a higher level of precision. This new system will compare suspicious ad images with celebrities’ profile photos on Facebook or Instagram.

If a match is detected, Meta’s system will automatically delete the ad, effectively erasing these scams from its platforms.

Meta’ Has Been Victim of Deepfake Celebrity Scam Ads For Years

The prevalence of celebrity scam ads is a growing issue, impacting both public figures and everyday users. These ads often look credible, using well-known faces to build trust and fool viewers. For example, Elon Musk and Martin Lewis have both found their likeness used without permission to promote dubious investments.

These fake ads claim to offer lucrative returns or insider access to cryptocurrency schemes, which lure in potential victims and exploit their trust in these public figures.

Pixabay / Pexels / Until now, Meta’s ad review system has relied on artificial intelligence alone. A tool that has been essential but not foolproof.

With facial recognition in the mix, Meta can better flag ads that might otherwise slip through the cracks. It is a proactive approach to identifying images that closely resemble actual profiles. This could help Meta weed out scams before they reach a broader audience.

How Facial Recognition Will Target Celebrity Scam Ads?

Meta’s new facial recognition system operates by analyzing images from ads flagged as potentially fraudulent. The system will automatically compare these images to those of celebrities who maintain verified profiles on Facebook or Instagram.

When a suspicious ad image matches a profile image, it will flagged for deletion. Thus, eliminating the possibility of users encountering these misleading endorsements.

Meta’s initial testing has shown “promising results.” Encouraged by these outcomes, Meta is rolling out the technology to a wider audience of public figures who have been victims of “celeb-bait” scams. This larger-scale testing could help celebrities regain some control over how their image is used on social media.

Facial Recognition as a Tool for Account Recovery

While cracking down on celebrity scam ads is a top priority, Meta is also exploring facial recognition to help users regain access to locked accounts. Currently, if a user is locked out of their account, they must upload an official ID or other documents as proof of identity. This process can be slow and may not suit users who need quick access.

Olly / Pexels / Meta is also testing a new method that uses video selfies and facial recognition for identity verification.

If a user’s video selfie matches the profile image on their account, the system can instantly verify their identity. It will provide a faster way to regain access. This process reflects Meta’s commitment to improving user experience and ensuring security.

Privacy Concerns in Facial Recognition

Meta previously used facial recognition but halted it in 2021, citing concerns around privacy, accuracy, and potential bias. The return of this tech has led some users and privacy advocates to raise eyebrows, questioning how Meta plans to address these recurring issues.

In response to these concerns, Meta has emphasized that the facial recognition data used for ad monitoring and account recovery will be encrypted and stored securely. The company promises that the data generated will not be visible publicly and will be deleted after the verification or identification process.