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Facebook has filed patents to predict our future locations

One such use would be to pre-stuff our devices with ads and other content before we wander into a Wi-Fi dead zone.

Facebook filed a patent, titled “Offline Trajectories,” last week in which it proposes predicting users’ “location trajectories” – in other words, where we’re likely headed. Knowing when we’re about to hurtle into a no-WiFi-connection limbo means Facebook can “prefill” our phones with content and ads.

It knows enough to know a lot more

As Facebook described in the patent application, it would use machine learning to analyze metadata associated with users who already found themselves in whatever geographic location that you’re heading toward.
Of course, Facebook’s mobile app is one of hundreds that constantly track our location, so it’s already got a good basis to predict all those little circuits that we circle in our daily lives.
Leaving home at 08:07? Check. Hopping on the subway, where you can never get a connection? Oooh, maybe you need to have your phone pre-stuffed with content… like, say, that Spotify song you were jamming out to before you submerged. Working downtown at a hospital for 7.5 hours? Headed to the gym for your 70-minute workout? Followed by a visit to the juice bar? Check, check, check: if you’ve let your apps have access to your location data, who knows what all the advertisers, retailers, or hedge funds that have purchased your second-by-second, ever-shifting location data are doing with it.
The patent describes using your previous locations, plus the previously logged locations of other Facebook users – as in, people who aren’t even your Facebook friends – to predict where you’re likely to go. If you’re headed into an internet dead zone where Facebook can’t make any money off of you, Facebook could use its predictions to give itself a heads-up about the dire drop-off and make sure it prefills what otherwise would have been your content time-out. From the application:

By predicting the probability that the user will lack connectivity for an extended period of time, content may be prefetched so that the user may have access to content during the period where there is a lack of connectivity.

What goes into the witchy predictive stock pot:

The computer model is generated using machine learning and metadata associated with users who were at the respective candidate geographic location.

As with all patent applications, there’s no guarantee that this particular crystal ball is going to see the light of day. Facebook spokesperson Anthony Harrison sent this statement to BuzzFeed News:

We often seek patents for technology we never implement, and patent applications – such as this one – should not be taken as an indication of future plans.

Absolutely. Duly noted. But it sure wouldn’t be surprising if Facebook had a serious intention of implementing this technology, given that guessing our future locations could help Facebook to:

  • Serve ever more ads (during those times when we aren’t connected).
  • Use information about even more of our preferred locations to create ever-more fleshed out profiles of us (what’s our favorite restaurant or department store, for example) and more precisely targeted ads.
  • Preload our news feeds with content that’s contextualized to the places where we’re going.

This isn’t just one patent: it’s one of a cluster that work in concert.
For example, Facebook has a related patent application for “Predicting Locations and Movements of Users Based on Historical Locations for Users of an Online System” that details how location data from multiple people would be used to suss out location and movement trends and to model location chains. The patent application says that those location chains could be used for applications such as “advertising to users based on locations and for providing insights into the movements of users.” It could even differentiate movement trends among those people who live in a city and those who are merely visiting that city.
Yet another of its patents, titled “Location Prediction Using Wireless Signals on Online Social Networks,” describes how Facebook could track the strength of Wi-Fi, Bluetooth, cellular, and near-field communication (NFC) signals in order to estimate a user’s current location and thus be able to predict where they’ll show up next.
All the better to track you with, my dear: this type of “background signal” information can serve as an alternative to GPS because, as the patent describes, it might prove to be more accurate at pinpointing us. It could also learn the category of where you’re at (at a restaurant or a gym, for example), what time the business is open, what are the hours during which it gets the most visits, and what time you tend to drop by.

Make it stop!

What’s that, you say? You don’t want to be followed into your future? You don’t have to be. Here’s how to shake off the bloodhounds:

  • Turn off the Facebook mobile app’s permission to access location data on your phone. Here’s how.
  • Delete the mobile app from your phone entirely. You can always use Facebook in your mobile browser instead.
  • Stop checking into places, and don’t add your location to your posts.
  • On Android devices, you can try going to Settings > Google > Ads > Opt out of ads personalization, or you can turn off ads personalization through the Ad Settings page. Do note, though, that researchers recently found that Google can track the location of anyone using some of its apps on Android or iPhone even when they’ve told it not to.
  • On iOS, go to Settings > Privacy > Advertising and enable Limit Ad Tracking. That’s where you can also reset your advertising identifier in order to clear data associated with your advertising number. Another way to opt out of apps is to go to Settings > Privacy > Location Services. Scroll down to System Services and disable Location-based Apple Ads.

1 Comment

I guess the novel part is that it uses information about people on your friends list to help with the prediction. My iPhone already tells me exactly where I’m headed every time I get in the car (20 minutes to work; 15 minutes to my son’s school; etc).

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