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The Dark Side of Big Data

Monday, Sep 16 2019
News
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  • "I was staying at a friend\u2019s rural property for a few days and made the decision to go out at sunrise the next morning and head up the nearby mountain. It was the middle of winter and literally freezing, I didn\u2019t have any gloves so when I wasn\u2019t taking photos I had to stuff my hands deep in my pockets to stay warm. But the further and further I drove up the winding mountain road this incredible mist got thicker and thicker. There was no-one else around save a few kangaroos. It was incredibly cinematic."
"I was staying at a friend\u2019s rural property for a few days and made the decision to go out at sunrise the next morning and head up the nearby mountain. It was the middle of winter and literally freezing, I didn\u2019t have any gloves so when I wasn\u2019t taking photos I had to stuff my hands deep in my pockets to stay warm. But the further and further I drove up the winding mountain road this incredible mist got thicker and thicker. There was no-one else around save a few kangaroos. It was incredibly cinematic." "I was staying at a friend\u2019s rural property for a few days and made the decision to go out at sunrise the next morning and head up the nearby mountain. It was the middle of winter and literally freezing, I didn\u2019t have any gloves so when I wasn\u2019t taking photos I had to stuff my hands deep in my pockets to stay warm. But the further and further I drove up the winding mountain road this incredible mist got thicker and thicker. There was no-one else around save a few kangaroos. It was incredibly cinematic."

Big data used in applications such as personalized pricing models can have a detrimental effect reports the Conversation. 

Mustafa loves good coffee. In his free time, he often browses high-end coffee machines that he cannot currently afford but is saving for. One day, travelling to a friend’s wedding abroad, he gets to sit next to another friend on the plane. When Mustafa complains about how much he paid for his ticket, it turns out that his friend paid less than half of what he paid, even though they booked around the same time.

 

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