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Posts Tagged personal data
Car Makers Spying On You And Selling Your Data
From Electronic Frontier Foundation:
In a recent New York Times article, Kashmir Hill reported how everyday moments in your car like these create a data footprint of your driving habits and routine that is, in some cases, being sold to insurance companies. Collection often happens through so-called “safe driving” programs pre-installed in your vehicle through an internet-connected service on your car or a connected car app. Real-time location tracking often starts when you download an app on your phone or tap “agree” on the dash screen before you drive your car away from the dealership lot.
Data Scientist Warns of Election Meddling By Google
From Newsbusters:
Psychologist and researcher Dr. Robert Epstein, PhD exclusively explained the worrisome implications of the Axios-Google Trends project to MRC Free Speech America. “The more you know about people, the easier it is to manipulate them,†Dr. Epstein warned.
Dr. Epstein explained the implications of Google having this knowledge. “Among other things, this allows Google to keep a close eye on voters who are undecided and whose opinions can still be changed,†he said. “The detailed information they have about each and every one of us allows them to effectively shift opinions with biased search results, search suggestions, answer boxes, answers on personal assistants (Google Home and the Google Assistant on Android phones), YouTube videos, targeted messages, and more.â€Â
Anonymity Impossible?
Posted by Brian in Law, News, Threat Watch on 16/May/2013 08:00
MIT asks the question in an article about how much information individuals create about themselves.
Much of this data is invisible to people and seems impersonal. But it’s not. What modern data science is finding is that nearly any type of data can be used, much like a fingerprint, to identify the person who created it: your choice of movies on Netflix, the location signals emitted by your cell phone, even your pattern of walking as recorded by a surveillance camera. In effect, the more data there is, the less any of it can be said to be private, since the richness of that data makes pinpointing people “algorithmically possible,†says Princeton University computer scientist Arvind Narayanan.