Users should avoid sharing personal information or making monetary transactions based solely on interactions with these profiles, as they might not be genuine.
In summary, Meta’s testing of facial recognition technology on 50,000 celebrities and public figures is a step towards combating “celeb-bait” scams that are prevalent on social media platforms. The technology will be tested on 50,000 celebrities and public figures, who have consented to have their images used for this purpose. As the testing progresses, the company will be working closely with celebrities and public figures to ensure that their images are used responsibly and with their consent.
While the facial recognition technology might help to reduce such fraudulent activities on the platforms, experts argue that it is essential for users to remain vigilant and exercise caution while engaging with public figures on social media.
Meta, the parent company of Facebook and Instagram, is set to start testing a facial recognition technology in a bid to reduce “celeb-bait” scams. By using the facial recognition technology, the company aims to identify and take down fake accounts that impersonate famous personalities, with the intention of scamming unsuspecting users.
The “celeb-bait” scams refer to fraudulent activities where fake accounts are created on social media platforms, pretending to belong to a famous celebrity or public figure. The technology will aid in identifying and removing fake accounts that impersonate famous personalities, thus protecting users from potential scams and misinformation.
However, users must also remain cautious and verify the authenticity of profiles before engaging with them on social media.
The move comes in response to growing concerns over online scams and misinformation that target unsuspecting users, thus tarnishing the reputation of public figures and causing financial losses to unsuspecting users.
Meta’s facial recognition technology will be used to verify the authenticity of celebrity profiles and public figures, in addition to helping in the detection of fraudulent activities. These profiles lure users into believing they are genuine and engage in deceptive practices like requesting money, sharing personal information, or promoting scams.
With the help of the facial recognition technology being tested, the company hopes to better identify and remove these fake accounts from their platforms, thereby curbing these deceptive activities.
