Article summary:
LinkedIn has developed a new AI image detector research concept that has a 99% success rate in catching fake profile photos, with a 1% false positive rate. According to anecdotal evidence, their new detector actually works. There are many reasons why people create fake LinkedIn profiles, such as the perception that Google will trust a site if the article authors have links to a LinkedIn profile in their author bios. LinkedIn is constantly updating their systems to detect multiple kinds of unwanted activity such as fake profiles, account takeovers and content policy violations. The introduction of AI generated images has made it next to impossible to detect fake images if you don’t know what to look for. LinkedIn identifies “artifacts” that are the hallmark of fake AI profile images. The results of their research is impressive, with a true positive rate of 99.6% and a false positive rate of 1%. An affiliate marketer with the fake LinkedIn profiles shared that LinkedIn was able to catch 100% of their fake LinkedIn profiles.
Key points:
Reasons for Fake Profiles:
- Perception that Google will trust a site if the article authors have links to a LinkedIn profile in their author bios.
- Creating a more trustworthy-looking website for visitors to their websites.
- Most people don’t know how to spot AI images so it’s easy for people to mistake a fake account for a real one.
- The introduction of AI generated images has made it next to impossible to detect fake images if you don’t know what to look for.
- A characteristic of artificially created images is that they all share similar patterns, what LinkedIn calls structural differences.
- Real images don’t share structural components.
- LinkedIn identifies “artifacts” that are the hallmark of fake AI profile images.
Topics:
AI Image DetectionFake ProfilesAI Generated ContentFalse Positive RateTrue Positive Rate