The software slowly learns how one reacts on social networks and can mimic their usual responses to updates and messages from friends and relations to help cope with the daily data deluge.
According to the BBC, the software also analyses continuing interaction and flags messages that demands a more personal response.
Google software engineer Ashish Bhatia said that it is often difficult for users to keep up with and reply to all the messages they are receiving and the software is intended to help them manage the data.
In the patent, Bhatia envisions a sophisticated system that collects information about all the different social networks someone has joined and tracks what and how they respond to different types of messages, notifications, status changes, videos, images and links sent to them.
The report said that instead of writing every response individually or clicking buttons to 'like' or forward messages, the software would generate suggested responses which a person could simply agree to be posted on their behalf.
Meanwhile, social media technologist Hadley Beeman said that the subtleties of human interaction might undermine the ability of Google's suggested system to pick out what matters most and flag it appropriately.
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