Categories: Gadgets

How Google, Meta, Snap is ‘Bypassing’ Large iPhone Privacy Features

Apple tracking transparency features are a big boost for users who want to store their data in person and safely.
While users may have been happy with features, companies such as Snap, Meta (formerly known as Facebook), Google is not too happy because it reaches their opinion.
Now, a report revealed that these companies have found ways to bypass features.
According to reports with information, the application developer has found a solution to the feature.
This report focuses on what SNAP does to get user data.
Snap uses advanced conversion, which is in accordance with the report, allows it to “receive detailed information from advertising technology companies about individual iPhone user activities.” With this data, the snap is reported to measure the efficacy of the ad even if the user does not send any data to track it.
It works on the idea that see advertisements and what they do in other applications “blurred with encryption so they cannot be linked back to individuals.” However, the report claims that snap can still analyze data and provide results to advertisers.
Likewise, Facebook and Google also use models that they don’t believe Apple’s guidance violations.
The company uses complex mathematical modeling in data “to determine the possibility that the user selects-out takes certain actions based on seeing ads in the app,” said a spokesman.
The company uses advanced techniques to assess how effective their ad campaigns are.
Google says that it does iOS user data that uses features but in a way that preserves privacy and does not damage Apple rules.
Transparency tracking application clearly, developers cannot track users and link user data or their devices.
However, the rules do not mention something specific to connect.
Nearly 80% of iOS users choose out of tracking on at least one application on their iPhone.
But it looks like a developer – like a snap, meta – has found a solution that allows them to share data about users that can be used to identify them later.

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