Google has patented software that can learn how users respond on social networks and can mimic their behavior allowing users to maintain a presence on sites without actually needing to visit them.
This software slowly learns how you react on social media sites and can mimic those reactions. The software analyzes updates and messages and can either respond for the user or flag something that may require a more personal response so the user can respond accordingly. "The popularity and use of social networks and other types of electronic communication has grown dramatically in recent years," wrote Ashish Bhatia, a Google software engineer, in the patent. "It is often difficult for users to keep up with and reply to all the messages they are receiving."
Bhatia envisions a system that collects the users' information across social networks and logs how the user has been responding to messages, notifications, status changes, and more. The system then analyses these responses and can start making suggestions of its own that, Bhatia hopes, will be indistinguishable from if the user had responded personally. The system would be flexible enough to adapt to any given situation and should be able to differentiate between friends, family, or professional acquaintances. The tone of the manufactured response would differ on professional social networks such as LinkedIn than the tone one would use on Twitter or Facebook. Despite its lofty potential, the examples provided in the patent suggest that this software will require some refinement before it goes public.
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