[ddj] four visualizations from data mining online news at massive scale

[Ed Jewett]

I assume it's permissible to put this on a blog "as is" without change and
with attribution. This is a fascinating topic and I'm glad I joined.

On Mon, Feb 27, 2017 at 12:28 PM, kalev leetaru <kalev.leetaru5 at gmail.com>
wrote:

> I thought many of you would find of interest four of my latest pieces on
> what we can learn about the global structure of the news media landscape
> through massive mining of that content. In particular, two of the analyses
> rely on applying deep learning cataloging to more than a quarter-billion
> global news photographs from last year, one examines a quarter-billion news
> articles and 2.2 billion location mentions to map global happiness through
> the eyes of the world's media and the final looks at three quarters of a
> billion outlets from 121 million news articles over the last 10 months to
> create a network visualization of the linking behavior of the world's news
> outlets.
>
> Thought these might serve as inspiration to some of you as to what's
> possible today in new frontiers of data journalism.
>
>
> http://www.forbes.com/sites/kalevleetaru/2017/02/27/
> creating-a-massive-network-visualization-of-the-global-
> news-landscape-who-links-to-whom/
>
> http://www.forbes.com/sites/kalevleetaru/2017/02/25/what-
> does-artificial-intelligence-see-in-a-quarter-billion-
> global-news-photographs/
>
> http://www.forbes.com/sites/kalevleetaru/2017/02/21/
> visual-geocoding-a-quarter-billion-global-news-photographs-using-googles-
> deep-learning-api/
>
> http://www.forbes.com/sites/kalevleetaru/2017/02/22/
> mapping-global-happiness-in-2016-through-a-quarter-billion-news-articles/
>
>
> ~K
> http://kalevleetaru.com/
> http://blog.gdeltproject.org/
>
>
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