#lak 12 week 5 - part 2

I'm splitting this up, so as not to confuse myself :-)

Six provocations of big data (Boyd & Crawford):
1. Automating Research Changes the Definition of Knowledge.
2. Claims to Objectivity and Accuracy are Misleading - all analysis means interpretation
3. Bigger Data are Not Always Better Data - they can be incomplete, biased, noisy
4. Not All Data Are Equivalent - Context matters!
5. Just Because it is Accessible Doesn’t Make it Ethical
6. Limited Access to Big Data Creates New Digital Divides

This summarizes about all my concerns, I think.
Why didn't we read this earlier on?