Jones said that the company uses three checkpoints where it bans accounts: at registration, during messaging, and in response to negative feedback like reporting. It uses the Facebooks Immune System model, which suggests to perform real-time checks on every read or write action to define abusive behavior and train its machine learning systems. It can look at these bits of information without decrypting any messages. To do that, it uses what it calls ‘user actions’ that include registration metadata and the rate of sending messages.

WhatsApp needs to catch them without breaking encryption and reading the contents of their messages. Through these techniques, people might want to spread click-bait articles or misinformation, like last year’s viral video that spread in India alleging that people might spread click-bait articles, or misinformation, like a viral video that spread across India alleging that the people in it were child kidnappers, and led to multiple lynchings in the country. The company said it’s hit upon ways to prevent accounts from sending out bulk messages and automated messages. In a session with journalists in India, the company’s software engineer, Matt Jones, explained that abusers use many techniques – including custom devices with multiple SIMs and specially coded simulators that masquerade as users – to run multiple instances of WhatsApp. The company today released a whitepaper stating that it removes over two million such accounts every month, and 75 percent of that is a result of the app’s strong machine learning algorithm. Then there are other kinds of spammers, bots, and people, who try to clutter your message box with automated messages. There are more than 1.5 billion people using WhatsApp, and sadly, some of them are your relatives spamming you with bad jokes and flowery ‘good morning’ messages.

Whatsapp anti spam bot