Apologies for cross-posting - 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 online news, and given that the underlying datasets are all open, that these might offer great starting points for many other research questions. In particular, two of the analyses rely on applying deep learning image cataloging to more than a quarter billion global news photographs from last year, one examining visual geocoding and the other looking at semantic visual clustering using the assigned labels. One explores what it looks like to combine multilingual textual geocoding and sentiment analysis (both covering 65 languages) to process a quarter billion news articles and 2.2 billion location mentions to map "global happiness" as seen through the eyes of the world's online news media. The final leverages visual document extraction to compile three quarters of a billion outlinks from 121 million articles over the last 10 months and uses that link graph to explore how global media outlets link to each other. What makes this particular analysis distinct is both the global scope (crossing all countries and 65 languages) and the use of the article link graph rather than the page link graph as is traditionally done (ie looking at only the links in the article text itself, rather than the myriad links found in the rest of the surrounding page, such as headers/footers/advertisements/etc). Thought these might be of interest re what it looks like to apply these techniques at scale and with a globalized scope and the open availability of the underlying computed datasets to enable all kinds of other research on online news. http://www.forbes.com/sites/kalevleetaru/2017/02/27/creating-a-massive-netwo... http://www.forbes.com/sites/kalevleetaru/2017/02/25/what-does-artificial-int... http://www.forbes.com/sites/kalevleetaru/2017/02/21/visual-geocoding-a-quart... http://www.forbes.com/sites/kalevleetaru/2017/02/22/mapping-global-happiness... ~K http://kalevleetaru.com/ http://blog.gdeltproject.org/