[FRIAM] Fwd: [NICAR-L] Machine learning in reporting example

[Tom Johnson]

All:

Perhaps some of you will be interested in these links describing how
journalists -- well, at least ONE journalist -- used AI, and
specifically the "Random Forest" algorithm, to uncover government agency
surveillance activities at home and abroad.  See especially the first and
the last link.

Any thoughts on other applications of this methodology?

Tom

============================================
Tom Johnson
Institute for Analytic Journalism   --     Santa Fe, NM USA
505.577.6482(c)                                    505.473.9646(h)
Society of Professional Journalists <http://www.spj.org>
*Check out It's The People's Data
<https://www.facebook.com/pages/Its-The-Peoples-Data/1599854626919671>*
http://www.jtjohnson.com                   tom at jtjohnson.com
============================================


On Mon, Aug 7, 2017 at 12:53 PM, Peter Aldhous <peter at peteraldhous.com>
wrote:

> Hi all,
>
> Excuse the shameless self-promotion, but I thought some folks on the list
> might be interested in this: using the random forest algorithm on
> flight/aircraft data to identify potential spy planes.
>
> 1) https://www.buzzfeed.com/peteraldhous/hidden-spy-planes
>
> Here are the other two recent stories that it spawned:
>
> 2) https://www.buzzfeed.com/peteraldhous/us-marshals-spy-plane-over-mexico
>
> 3) https://www.buzzfeed.com/christianstork/spy-planes-over-american-cities
>
> And here are the methods/data/code:
>
> 4) https://buzzfeednews.github.io/2017-08-spy-plane-finder/
>
> Thanks also to colleagues Christian Stork and Karla Zabludovsky for their
> excellent reporting on these stories.
>
> Cheers,
>
> Peter
>
> --
> *Peter Aldhous*, PhD
> Science journalist
> cell: 415 503 7323 <(415)%20503-7323>
> peter at peteraldhous.com
> @paldhous <https://twitter.com/paldhous>
> www.peteraldhous.com
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-- 
Jacqueline Kazil | @jackiekazil


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