Facebook wants to use deep learning to determine who you’re living with, new patent reveals
It doesn’t take long after you start reading through the patent before you get creepy vibes. Here is a part of the abstract:
It then continues to tell us how “deep learning techniques” will be used to connect the dots between the individuals you’ve been interacting with, serving the ultimate goal to “provide improved and targeted content delivery to the user and the user’s household”. The key word in all of that is “household”. Facebook already knows who our family members are and can probably figure out that married couples live together. Using the new algorithms, it will be able to pair friends that are also roommates or pinpoint exactly which family members are still living in the same house or if there are any kids that don't even have Facebook profiles.
Imagine coming back home after seeing ads from a specific fast food chain all day and asking your roommates what they feel like eating, only to find out that they have the same cravings as you. Or while shopping together, you all quickly agree that laundry detergent X is the way to go. The “targeted content” can go beyond simple product ads, however, it can be used to steer opinions on different topics and create conformity within households through sponsored news feed posts.
The additional data can prove to be very valuable, as few other platforms have enough information to offer households as a unit that advertisers can target. And with this patent, they might not be able to do it even if they have the capabilities (looking at it this way, Facebook is doing us a favor).
The patent was filed in May and published yesterday but that doesn’t mean Facebook isn’t already using the described methodology to provide targeted ads. At this point, the social network's users are mostly desensitized about the ways their data is used.