Don’t let the rhetoric fool you, a Microsoft researcher says: Big Data is a human tool, which means it is subject to all kinds of miscollection, misapplication and abuse.
|Scooped by Beth Kanter|
A new term, "Big Data fundamentalism" — the idea with larger data sets, we get closer to objective truth.”
This article summarizes a talk by Kate Crawford a researcher at Microsoft during a Big Data Conference: http://dataedge.ischool.berkeley.edu/2013/
She offers up 6 Myths:
Myth 1: Big Data Is New
(It's been around for a while, like all disruptive tech trends - it sometimes takes years to ramp up and then fade into being part of life."
Myth 2: Big Data Is Objective
Need to have information literacy skills - know the context of your data - it may be skewed. This is why you can't be "data-driven" and have to be "data-informed"
Myth 3: Big Data Doesn't Discriminate
It isn't color blind or gender blind. When people create data sets, those become fallible human tools. Data is something we create but also something we imagine.
Myth 4: Big Data Makes Cities Smart
It is only as good as the people using it. Devices are proxies for public needs.
Myth 5: Big Data Is Anonymous
Talking about privacy issues related to public data -- with a cell phone data you can identify 50% of who made the call with two data points, with four data points identify 95%. Finger prints require 12 data point to identify someone.
Myth 6: You can opt out
Uses Instagram as an example when they shared TOS. What it didn't have was a paid option so you could pay a fee and opt out. Will there be a two-tiered system in the future for people who want and can afford to control their data?
"Before Big Data becomes a fact of life, need to think about how we will navigate these systems - for individuals and society.