http://mathbabe.org/2013/01/29/bill-gates-is-naive-data-is-not-objective/
"As I’ll explain, however, rather than focusing on how individual models improve with more data, we need to worry more about which models and which data have been chosen in the first place, why that process is successful when it is, and – most importantly – who gets to decide what data is collected and what models are trained..." -Glen -- - http://zzzoot.blogspot.com/ - |
I had a similar piece, different angle, similar points, in slate a few months ago: http://mobile.slate.com/articles/technology/future_tense/2012/09/open_data_movement_how_to_keep_information_from_being_politicized_.html?original_referrer=http%3A%2F%2Fwww.slate.com%2Fauthors.david_eaves.html -- @daeaves Sent from my iPhone
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More or less in the same vein,
computational journalism by Jonathan Stray :
http://www.youtube.com/watch?v=pjlPyEkDKrA
That is (very) long if you want to look at all the videos. The first one contains all the steps do to computational journalism... which is close but simplified to how any data analysis is done, and all the "editorial" choices that are done. An interesting point near the end: checking is various model on the same data draw similar conclusions. (Which only conver "model biais" but not "data-biais". Anyway, this whole video series about computional journalism seem to be interesting. Steph Le 13-02-02 12:10, David Eaves a écrit :
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