If you have used Twitter experience, you have exposure to its vast spam experience. Now, according to the company, the company has launched the BotMaker anti-spam system, which reduces Twitter spam to 40%.
With Twitter spam and email spawning, Twitter faces difficulties in combating harmful content. Spammers understand all their countermeasures. The real-time nature of Weibo also means that any system must operate without increasing wait time.
BotMaker is governed by three guiding principles, according to the instructions of Weibo, including preventing spam content from being created, reducing the amount of shortened spam that is a new spam attack during Twitter response time. This system is called a robot and is used to manage all online users. The process is divided into three different situations: real-time, near-real-time, and periodic.
The design of BotMaker's rule syntax makes the system modular and quick to deploy. The company’s goal is to enable Twitter to quickly reflect spam attacks and take appropriate measures.
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