Debunking the Myth of “Anonymous” Data
Booga1 writes:
From The Electronic Frontier Foundation: Debunking the Myth of "Anonymous" Data
Personal information that corporations collect from our online behaviors sells for astonishing profits and incentivizes online actors to collect as much as possible. Every mouse click and screen swipe can be tracked and then sold to ad-tech companies and the data brokers that service them.
In an attempt to justify this pervasive surveillance ecosystem, corporations often claim to de-identify our data. This supposedly removes all personal information (such as a person's name) from the data point (such as the fact that an unnamed person bought a particular medicine at a particular time and place). Personal data can also be aggregated, whereby data about multiple people is combined with the intention of removing personal identifying information and thereby protecting user privacy.
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However, in practice, any attempt at de-identification requires removal not only of your identifiable information, but also of information that can identify you when considered in combination with other information known about you. Here's an example:
- First, think about the number of people that share your specific ZIP or postal code.
- Next, think about how many of those people also share your birthday.
- Now, think about how many people share your exact birthday, ZIP code, and gender.
According to one landmark study, these three characteristics are enough to uniquely identify 87% of the U.S. population. A different study showed that 63% of the U.S. population can be uniquely identified from these three facts.
We cannot trust corporations to self-regulate. The financial benefit and business usefulness of our personal data often outweighs our privacy and anonymity. In re-obtaining the real identity of the person involved (direct identifier) alongside a person's preferences (indirect identifier), corporations are able to continue profiting from our most sensitive information. For instance, a website that asks supposedly "anonymous" users for seemingly trivial information about themselves may be able to use that information to make a unique profile for an individual.
Read more of this story at SoylentNews.