Machine Learning: How Facebook Uses It To Detect Fake Accounts

Facebook uses hand-coded rules and machine learning to block a fake account either before it is created or before it becomes active. In other words, before it can harm real users. The final stage is after a fake account has gone live. Facebook – one of the biggest social networks in the world, with almost 2.5 billion monthly active users. But the experts believe that nearly 5% of them are fake. Fraudsters create fake profiles on Facebook to send spam messages, malware, or phishing links. It is a major concern for Facebook’s reputation, and in 2019 it deleted around 2 billion fake accounts, thanks to its new Machine Learning tool developed with the help of machine learning experts. The solution they deployed is called Deep Entity Classification (DEC), a useful machine learning tool to identify fake accounts. Learm more: