Image of the data structure.
Grindr Shares Personal Information With Third-Parties
181–190 of 317 posts
Re: Grindr Shares Personal Information With Third-Parties
#182Earlier quoted context omitted.
> HIPAA binds only covered entities Covered entities are specifically defined as: "(1) A health plan"; "(2) A health care clearinghouse"; or "(3) A health care provider who transmits any health information in electronic form in connection with a transaction covered by this subchapter" [1]. [1] https://www.gpo.gov/fdsys/pkg/CFR-2017-title45-vol1/xml/CFR-...
Then why are research institutions included?
They aren't, as such, however they usually get data through business relationships with providers or payers (or, in many cases, are providers.)
Re: Grindr Shares Personal Information With Third-Parties
#183Earlier quoted context omitted.
If "no pay" is an option most people will take it, if it isn't an option because the mechanisms that make it possible are banned then people will pay - or there will be no service. This isn't physics; the laws of user behaviour are mutable, and legislation is completely possible. The outcome of the erosion of privacy is the end of our ability to adapt as a society; there will be no new ways of doing things or dealing…
I understand the privacy issues are horrible, and places like HN are super vocal about it. But the overall majority either don't know, or don't care, or mostly both. People dump their entire lives on to the internet, hoping for some type of validation from their peers. Banks destroyed many lives ten years ago, and yet we bailed them out, and are still using them. People in the end just don't care. Especially after ti…
Banks are necessary for modern economies. Social networks, not so much.
Re: Grindr Shares Personal Information With Third-Parties
#184Earlier quoted context omitted.
AFWall requires root, while NetGuard doesn't. Important distinction now that rooting affects ability to use features like Google Pay, Netflix (offline download), etc.
Rooted phone, no google services, and netflix downloads are just fine.
No android pay either.
Re: Grindr Shares Personal Information With Third-Parties
#185Earlier quoted context omitted.
Yes, all regulation hurts economic growth. The mechanism is simple: regulatory compliance is a cost. If it's a fixed cost like most regulation, it becomes a barrier to entry. If it's a variable cost, it reduces labor productivity. HOWEVER, some regulation may improve net economic growth by improving the functioning of markets such that it overcomes the costs that compliance imposes. Therefore the discussion of regula…
This guy economics. But seriously I'm tired of so many armchair Libertarians spouting their one semester of economics understanding. Most of them never read past your first statement.
I point out there are three armchair points-of-view that are possible here which are, in my experience, equally tiresome:
(1) All regulation is bad. (2) All regulation is good. (3) All regulation which is net positive is good.
(3) may be more complex, but it can be an armchair position because it excludes the political and moral questions of who wins, who loses, and who decides.
Importantly, (1) and (3) can also both be non-armchair points of view. It really depends what arguments are made in their defense. A libertarian, fully cognizant of the points made by the GP, can still believe (1) if his basis is moral grounds. Likewise (3), if it is defended on utilitarian grounds. Sure, if a libertarian argues (1) on an economic basis, it suggests a certain ignorance we could call 'armchair'.
But I would argue that we largely ignore moral arguments. So, even a libertarian arguing (1) from an economics standpoint may actually be doing so not because he believes it, but because he believes his audience will reject his argument from his core belief; and I would be hesitant to call him 'armchair' (even though he is annoying) just as I would be hesitant to call a utilitarian 'armchair' if he avoids the political questions. Both can be wrong without being wrong.
Re: Grindr Shares Personal Information With Third-Parties
#186A bit unrelated, but imagine how much data has Tinder collected, if Cambridge Analytica could do that much with just a comparatively unpopular quiz app.
Yet Tinder is just one of the 150 online brands owned by IAC, a company created by legendary TV executive Barry Diller. He probably knows the value of the data they have.
Wow, today I learned: Tinder, PoF, OkCupid, Match.com and more are owned by the same company.
Re: Grindr Shares Personal Information With Third-Parties
#187If you are using Grindr on Android, install and use NetGuard. https://play.google.com/store/apps/details?id=eu.faircode.ne... https://github.com/M66B/NetGuard NetGuard is an open source local VPN that allows you to block DNS lookups to prevent calls to 3rd parties, and it does not require root access. Calls to all of the 3rd parties mentioned are blockable. Grindr does not need many domains to be operational to work,…
I use dns66, how does this compare to netguard? https://f-droid.org/en/packages/org.jak_linux.dns66/
I've found Blokada to be much more configurable. Just switched from DNS66 to blokada today.
Re: Grindr Shares Personal Information With Third-Parties
#188This is deeply troubling. Anyone who uses Tinder or any other dating site should try requesting their data and realize that these services could likely label you a sexual deviant, racist or otherwise based on your swipes alone.
OkCupid may be even more dangerous in that regard. As far as I know they allow you to set ethnicity preferences.
Re: Grindr Shares Personal Information With Third-Parties
#189It's scary that it doesn't surprise me anymore. Especially social networks are considered most lucrative in terms of targeted marketing and data mining, and it's obvious why. Social networking remains a big deal, it's almost mandatory to have some social networking footprint online, or else you miss out on social life. Why is it still OK to trade data distilled from social media accounts? It's not! One of the many re…
I think that adoption of privacy preserving data aggregation/analysis will become the norm. The most immediate applications are 1) telemetry data that is used for monitoring (for example, Google Chrome uses differential privacy for collecting this data), and, 2) services like Google Maps and Tinder-like dating apps. In these applications, essential user information can be represented as integer/boolean values (is user present in location X? True or False. how old is the user? ...)
Based on my limited understanding* of differential privacy, it falls short on exactness (of aggregate values) and robustness (against malicious clients). I've lately been studying the literature on function secret sharing and I think it is a better alternative to DP. Take this paper: https://www.henrycg.com/files/academic/pres/nsdi17prio-slide....
Prio: Private, Robust and Scalable Computation of Aggregate Statistics
Data collection and aggregation is performed by multiple servers. Every user splits up her response into multiple shares and sends one share to each server. I've understood how private sums can be computed. Let me explain it with a straw-man scheme.
Example (slide 26):
x_1 (user 1 is on Bay Bridge):- true == 1 == 15 + (-12) + (-2)
x_2 (user 2 is on Bay Bridge):- false == 1 == (-10) + 7 + 3 ...
If all users send shares of their data to the servers in this manner AND as long as at least one server doesn't reveal the identities of the people who sent it responses, the servers can exchange the sum of the shares they've received. Adding the three responses will allow the servers to infer that there are _ number of users on Bay Bridge without revealing their identities.
This system can be made robust by using Secret-shared non-interactive proofs (SNIPs). This allows servers to test if Valid(X) holds without leaking X.
The authors also bring up the literature on computing interesting aggregates using private sums: average, variance, most popular (approx.), min and max (approx.), quality of regression model R^2, least-squares regression, stochastic gradient descent.
Bottom line: I found the discussion on deployment scenarios very interesting. Data servers with jurisdictional/geographical diversity, app store-app developer collaborations for eliminating risk in telemetry data analysis, enterprises contracting with external auditors for analyzing customer data, etc.
* - I understand the randomized response and, to some extent, the RAPPOR technique (used for collecting Chrome telemetry data) but the other literature in that community goes over my head.
* * - This technique is a black box to me at the moment.
Re: Grindr Shares Personal Information With Third-Parties
#190None of that data seems to be "private" according to Grindr's privacy policy: https://www.grindr.com/privacy-policy
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