Over the past decade, Instagram has grown exponentially, with more than a billion monthly active users. However, with that increase in users has come an equal rise in fake accounts. According to this report, as of 2019, there were approximately 95 million fake Instagram accounts, representing about 9.5% of the platform’s total user base. With … Read more
Google is harnessing new AI technology to block a surge of fake online reviews that mislead customers and harm local businesses. The company stopped over 170 million fake reviews in 2023 – a 45% increase over the previous year. The crackdown provides welcome relief for local business owners who have struggled with fraudulent reviews that … Read more
Google’s John Mueller expressed his thoughts in a series of tweets about SEOs who create fake personas for a review site, including false LinkedIn profiles. He said if they think nobody can tell that “you’re deluding yourselves.” Fake LinkedIn Profiles To Look Legit AI is used to catch millions of fake LinkedIn profiles every year. … Read more
LinkedIn has developed a new AI image detector that is claimed to be able to catch 99.6% of fake profile images, with a 1% false positive rate. According to anecdotal evidence, their new detector actually works. Fake LinkedIn Profiles There are many reasons why people create fake LinkedIn profiles. For some members of the affiliate … Read more
If you’re in need of a fake ID, it can be difficult to know where to turn. There are countless fake ID providers online, and it can be hard to separate the good from the bad. That’s where IDGod comes in. IDGod is a reputable and reliable provider of fake IDs, offering a wide range … Read more
In today’s world, having a valid identification document is of utmost importance. It is not just necessary for legal and financial purposes but also for social activities such as buying alcohol, attending clubs and bars, and many other age-restricted events. However, for teenagers who are under the legal age limit to obtain a driver’s license … Read more
Google published a blog post that shared that they updated their machine learning systems in order to catch and remove more fake reviews, fake business listings and fraudulent contributed images and videos. The automated systems and human review teams removed over 200 million photos, 7 million videos and blocked or removed over 115 million reviews, … Read more
