https://therecord.media/ftc-complaint-against-kochava-unseal...
Among the additional information Kochava collects and sells are non-anonymized individual home addresses, phone numbers, email addresses, gender, age, ethnicity, yearly income, “economic stability,” marital status, education level, political affiliation and “interests and behaviors,” compiling and selling dossiers on individuals marketed as offering a “360-degree perspective,” the FTC said.
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According to the FTC, Kochava’s data can identify women who visit reproductive clinics by name and address along with, for example, when they visit particular buildings, their names, email and home addresses, number of children, race and app usage.
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Kochava marketing materials tell customers it offers “rich geo data spanning billions of devices globally” and that its location data feed “delivers raw latitude/longitude data with volumes around 94B+ geo-transactions per month, 125 million monthly active users, and 35 million daily active users, on average observing more than 90 daily transactions per device.”
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The complaint also alleges that the company has lax procedures for determining who it is selling data to, saying purchasers are allowed to use a generic personal email address, label an alleged company as “self” and explain they plan to use the data for “business.”
And then there's this: https://therecord.media/data-brokers-are-selling-military-se...
It’s amazing how much worse things have gotten, yet how people seem to care less now than they used to.
I wonder if it’s just consumers being so overwhelmed by their lack of control that they’ve become apathetic to the problem as a whole.
The cc/bank provider already gets an itemized bill, and they get it for everywhere you shop as opposed to a single store (so a superset of this data is already collected). This is in some (most?) cases already shared with stores, and even if it isn't, what can a store do with it the bank/cc provider can't do worse.
Thats where the paranoid was, around the fact that your individual shopping habits were being stored.
Also we are talking about the 90s here. So cash payments were more common.
Do banks sell this information? This bill was pulled from this ATM in Georgia by one Claudius McMoneyhands, and then deposited by one CashMoneyBusiness LLC in South Carolina three weeks later
Seems like there could still be intermediaries and a lack of what you actually bought with it at least?
denominations, perhaps?
If the FTC could do anything here to make this situation better, it would be to give every person access to any data about them that gets sold.
In Manufacturing Consent they measured column inches in the NYT-- IIRC it was something like measuring the total that support the relevant U.S. administration's official position on given policy vs. inches that went against the gov't position. In any case, they were measuring column inches.
What were you measuring to come to your conclusion?
https://www.nytimes.com/2023/09/22/magazine/hank-asher-data....
I'm aware that using adblockers and avoiding social media doesn't entirely prevent tracking, shadow profiles, and such, but surely it makes things more difficult for these companies, no? Or would you say that there's practically no difference between making an effort to preserve one's privacy and just giving up entirely?
Does any of what you’re talking about impact my life? How?
I know someone who bought the address of everyone with a specific first name.
Where I live it is.
If you were caught demoing something both horrific and internal you would risk serious damage to your career, and ultimately will have zero impact on the industry as there's just too much data out there and too much money wrapped up in it.
Plus, most people working with the data don't bother to look at it. The places I've internally demo'd massive privacy risks were shocked because they didn't realize what their own data was capable of. Most people are just writing jobs that run and shuffle data around from one place to another never really asking "what is this data?" Even among data scientists I'm routinely surprised (so maybe I shouldn't be surprised) how frequently data scientist never do any real error analysis by looking at what the model got wrong and trying to understand why.