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Quantifying Memory: Mapping the #GDELT data in #R (and some Russian protests, too) | #opendata #datascience

Quantifying Memory: Mapping the #GDELT data in #R (and some Russian protests, too) | #opendata #datascience | Public Datasets - Open Data - | Scoop.it
luiy's insight:

The Guardian recently published an article linking to a database of 250 million events. Sounds too good to be true, but as I'm writing a PhD on recent Russian memory events, I was excited to try it out. I downloaded the data, generously made available by Kalev Leetaru of the University of Illinois, and got going. It's a large 650mb zip file (4.6gb uncompressed!), and this is apparently the abbreviated version. Consequently this early stage of the analysis was dominated by eager anticipation, as the Cambridge University internet did its thing.

 

Meanwhile I headed over to David Masad's writeup on getting started with GDELT in python

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The GDELT Project: realtime network diagram and database of global human society for open research | #opendata

The GDELT Project: realtime network diagram and database of global human society for open research | #opendata | Public Datasets - Open Data - | Scoop.it
The GDELT Project
luiy's insight:

The GDELT Project is a realtime network diagram and database of global human society for open research Watching The Entire World

GDELT monitors the world's news media from nearly every corner of every country in print, broadcast, and web formats, in over 100 languages, every moment of every day.

 


Global Reach

 

GDELT monitors print, broadcast, and web news media in over 100 languages from across every country in the world to keep continually updated on breaking developments anywhere on the planet. Its historical archives stretch back to January 1, 1979 and update daily (soon to be every 15 minutes). Through its ability to leverage the world's collective news media, GDELT moves beyond the focus of the Western media towards a far more global perspective on what's happening and how the world is feeling about it.

 

 

Querying, Analyzing and Downloading

 

The entire GDELT database is 100% free and open and you can
download the raw datafiles, visualize it using the GDELT Analysis Service, or analyze it at limitless scale with Google BigQuery.

 

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