| 摘要 |
A self training set of robots are configured to proactively search for selective communication abuses over a network. Robots may enter a chat room to proactively send messages. The robots then analyze patterns and/or content of a received message for potential abuse. Robots may also passively reside on/off line without publishing their network address. If a message is received, the message may be interpreted to be SPAM/SPIM. Robots may also perform a variety of other actions, such as access websites, and analyze received messages to determine if the messages indicate abuse. If abuse is detected, information may also be obtained to enable blocking or filtering of future messages from the sender, or access to/from an abusive website. The information also may be used to retrain robots, so that the robots may learn from and share their collective knowledge of abusive actions.
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