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Last month, Apple announced the introduction of privacy stickers. Thanks to them, the user can see what data the app is getting and how to use it. The signal is the best among the callers.

AppStore developers should now inform the user whether and how they are using their data. Even between apps with very similar functions, the differences can be enormous. The best example of this is instant messaging. As you might have guessed, Facebook Messenger uses the most data.

In turn, WhatsApp, which was once famous for its user security and privacy, is no longer under the leadership of Facebook flawlessly. Compared to iMessage and Signal, Mark Zuckerberg apps collect and use massive amounts of data. Below you will find a detailed comparison of the four messengers.

If you have an iPhone or iPad, you can check the privacy details of each app yourself. To do this, go to the AppStore. Then find the app that interests you. Scroll to the bottom of the page, under Description and App, until you see “App privacy.” Then click “View Details”.

Signal:

  • The only personal information that Signal stores is the phone number that the app stores It is not used to link to our identity

iMessage (Apple Inc.)

  • E-mail address
  • Telephone number
  • Search history
  • Device ID

WhatsApp (Facebook Inc.)

  • Device ID
  • User ID
  • Advertising data
  • Date of purchase
  • Approximate location
  • Telephone number
  • E-mail address
  • Links
  • Product interaction
  • Error data
  • Performance data
  • Diagnostic data
  • Payment data
  • customers service
  • Product interaction
  • Other User Content
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Facebook Messenger – uses a lot of user data so special categories are tagged

It has long been known that Facebook is famous for using its user data. Thanks to this, he earns money. While a lot has been said about the information dedicated to Facebook accounts, it is not necessarily about the messaging program itself, which is actually a separate app. And as the AppStore’s privacy labels prove, there’s a lot to talk about. The data used were divided into five categories.

Third-party ads

  • Date of purchase
  • Other financial information
  • Exact location
  • Approximate location
  • Actual address
  • E-mail address
  • Noun
  • Telephone number
  • Other users’ contact information
  • Telecommunications
  • Pictures or videos
  • Playing content (games)
  • Other User Content
  • Search history
  • Browsing history
  • User ID
  • Device ID
  • Interact with the product
  • Advertising data
  • Other usage data
  • Error data
  • Performance data
  • Other diagnostic data
  • Other types of data

Developer advertisement or marketing

  • Date of purchase
  • Other financial information
  • Exact location
  • Approximate location
  • Actual address
  • E-mail address
  • Noun
  • Telephone number
  • Other users’ contact information
  • Telecommunications
  • Pictures or videos
  • Playing content (games)
  • Other User Content
  • Search history
  • Browsing history
  • User ID
  • Device ID
  • Interact with the product
  • Advertising data
  • Other usage data
  • Error data
  • Performance data
  • Other diagnostic data
  • Other types of data

Analytics

  • the health
  • Fitness
  • Date of purchase
  • Payment information
  • Other financial information
  • Exact location
  • Approximate location
  • Actual address
  • E-mail address
  • Noun
  • Telephone number
  • Other users’ contact information
  • Telecommunications
  • Pictures or videos
  • Dane’s voice
  • Playing content (games)
  • customers service
  • Other User Content
  • Search history
  • Browsing history
  • User ID
  • Device ID
  • Interact with the product
  • Advertising data
  • Other usage data
  • Sensitive information
  • Error data
  • Performance data
  • Other diagnostic data
  • Other types of data
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Personalize products

  • Date of purchase
  • Other financial data
  • Exact location
  • Approximate location
  • Actual address
  • E-mail address
  • Noun
  • Telephone number
  • Other users’ contact information
  • Telecommunications
  • Pictures or videos
  • Other User Content
  • Search history
  • Browsing history
  • User ID
  • Device ID
  • Interact with the product
  • Advertising data
  • Error data
  • Performance data
  • Sensitive information
  • Diagnostic data
  • Other types of data

Application functions:

  • the health
  • Fitness
  • Date of purchase
  • Payment information
  • Credit information
  • Other financial information
  • Exact location
  • Approximate location
  • Actual address
  • E-mail address
  • Noun
  • Telephone number
  • Other users’ contact information
  • Telecommunications
  • Emails or text messages
  • Pictures or videos
  • Dane’s voice
  • Playing content (games)
  • customers service
  • Other User Content
  • Search history
  • Browsing history
  • User ID
  • Device ID
  • Interact with the product
  • Advertising data
  • Other usage data
  • Sensitive information
  • Error data
  • Performance data
  • Other diagnostic data
  • Other types of data

These are:

  • Date of purchase
  • Other financial information
  • Exact location
  • Approximate location
  • Actual address
  • E-mail address
  • Noun
  • Telephone number
  • Other users’ contact information
  • Telecommunications
  • Pictures or videos
  • Playing content (games)
  • customers service
  • Other User Content
  • Search history
  • Browsing history
  • User ID
  • Device ID
  • Interact with the product
  • Advertising data
  • Other usage data
  • Error data
  • Performance data
  • Other diagnostic data
  • Other types of data