- cross-posted to:
- technology@lemmy.world
- cross-posted to:
- technology@lemmy.world
cross-posted from: https://lemmy.world/post/5717757
Today’s story is about Philips Hue by Signify. They will soon start forcing accounts on all users and upload user data to their cloud. For now, Signify says you’ll still be able to control your Hue lights locally as you’re currently used to, but we don’t know if this may change in the future. The privacy policy allows them to store the data and share it with partners.
I’m struggling to understand the reasoning behind this. Like these are just lightbulbs right? What’s the value in that data that I’m not seeing
Location data, when you’re home/not home, which room you’re likely in/not in. Data that costs almost nothing to produce, but can be sold for millions.
Bulbs tell them when you’re in the kitchen, bathroom, bedroom, etc. Relatively easy to combine it with smart tv, smart watch, security cam, and app/phone data to identify you exactly.
Combine it all and it’s likely they’d be able to identify you exactly and identify what you’re doing with a high degree of certainty, then micro-target you with ads or propaganda.
Honestly, there comes a point where you’d have more privacy shoving a camera up your ass. Less privacy than the DDR.
A lot of people don’t seem to understand that each individual bit of data is often not valuable in itself, but it is as part of a whole.
Basically, everything there is to know about you is a jigsaw puzzle. Many companies out there want that finished image, so they pay a premium for each individual piece of the jigsaw, and the companies you give your data to everyday are selling those pieces.
This might be a stupid question, and I don’t know if anyone would even have the knowledge to answer… but is this data ever audited? Other than possible lawsuits, what prevents me from randomly generating data points for my customers and selling them to these companies? I assume they are cross referencing with other data sets and they could catch on quickly?
When you sell fraudulent data you get sued for fraud. You can sell low quality data if you advertise it as such.
If you create fraudulent data like adnausium you’ll likely just get banned from Google.
A lot of this data is given for free in exchange for analytics from FB or Google on ad conversion…
"Big dat"a has become a buzz word, but it’s a very real, potent and also frightening thing.
As an added bonus, anything with unnecessary wireless functionality can easily be hacked, controlled and monitored by anyone savvy enough
It would be hella cyberpunk for someone to hack lightbulbs, install IPFS on them, and set up free storage for everyone.
Somebody would fill it all with goatse bitmaps or random numbers or something, but for a fleeting moment the internet would be weird again.
And now you can do it with curl!
Intelligence / espionage agents will have a field day with this kind of info.
Likely they want detailed user data and what devices you use, and they want to cross reference that with geolocation so they can upsell you stuff.
I would say it’s likely they’ll start serving ads in the app and “recommending” you other services or things like a subscription. Any app that you have to look at will get ads these days, just look at Uber.
This is why I bought IKEA bulbs that are dumb. I avoid anything that uses an app, because it will update itself to make a new thing sell better.
…are you serious?
There would be so much data in understanding people’s light usage. For example, you could figure out how late or early people get up, number of people living in a house, how crowded the house is, how many lights are used per room, etc etc. it would be a gold mine of information.
Let’s say you’re a home automaton designer. You want to design devices to be used in the home, but in order to design such devices, you need enough of a stockpile of user data. This lightbulb data would be incredible valuable.
You can probably even analyse the data and determine things like whether someone is watching tv late at night.
From a nefarious view, how valuable would this data be to robbers and thieves?
also, room names. You can get a pretty good idea of a house’s interior layout from the names and sequence of lights being activated. The ongoing attempts to map data to the physical world.
Sonos did this a few years ago and there was a similar outcry. I have stopped using Sonos devices too.
Oh God, I have an odd sense of humor. I would probably have the cops called on me lol.
Considering a lot of people are home all the time, probably not worth all that much.
I think people overestimate how much their behavior and data is actually worth. Companies only care as far as targeting ads to people. But 95% of the time those ads don’t actually do anything anyways.
You don’t need the individual light bulb data for that, just the user accounts and device IDs would tell you who lives in the house, their relationships, and you can use the IP from the app’s analytics eventing to approximate location to estimate household wealth.
The lightbulb data sounds fun, but not valuable.
How does a randomized system mess with that data. I only have two hue light, an under cabinet strip. My Echo turns them on and off randomly when I set it in the away mode. Will Phillips get both sets of data? Will Daddy Jeff share? Will he just buy Phillips and cut out the middle man?
“I randomize user submitted data to the corporation selling it, how could this possibly be a problem?”
If you’re smart enough to mangle the data you give them, you’re smart enough to understand the issue here.
Get rid of your sunk cost bias and think it through
Maybe they will buy both sets just to confirm the accuracy of the data?
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It builds a profile of you, and then they combine that with thousands of other profiles to build demographic profiles and then they sell this data to other firms or use it to further tune their own advertising services.
The same as pretty much every other company on the Internet. If it didn’t work they wouldn’t do it. Some people not understanding this due to over simplified examples makes no difference to that.
That’s not necessarily true, people do things that don’t work all the time, sometimes for a long time. There have been millions if not billions of dollars dumped into shit that doesn’t work. Using charts to predict the stock market doesn’t work, yet you can find people still doing it to this day.
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For example you can be targeted with food ads when you’re likely in the kitchen.
I can think of a few companies / products that would love to know that you’re in the bathroom every couple hours, for instance.
Or even anonymised, a company or study might want to buy “average Nova Scotian time spent in living room on weekends”
Big data is worth big $$$