GDELT Blog Reaches 800 Posts!

Yesterday the GDELT Blog reached an incredible milestone: its 800th post! From massive new dataset announcements to helpful tutorials, technical demonstrations to amazing awards, new papers to some of the incredible things people are doing with GDELT, the GDELT Blog has just taken off in ways we could never have dreamed when it first launched three […]

Mapping The Spread Of Google's AMP Mobile Pages

Beginning April 22, 2016 GDELT began monitoring all articles for Google AMP HTML and Mobile alternate URLs and recording this in the GKG's "Extra" field. With two months of data now available, we can use this information to map the spread of AMP across the world's news media. The query below calculates a number of […]

An Animated Daily Map Of American Television News 2009-2016

Kalev's latest Forbes piece features a city/landmark-level animation mapping every location on earth mentioned at least 3 or more times in a given day on American television news shows monitored by the Internet Archive over the last 6 years. In the space of 15 seconds you will see 6 years of television go by, with each frame of […]

A City-Level Look At 6 Years Of American Television

Kalev's latest Forbes piece features a city/landmark-level map visualizing the every location on earth mentioned at least 5 or more times on American television news shows monitored by the Internet Archive over the last 6 years. Creating this map required just a single line of code in Google BigQuery and just 4.8 seconds to complete and just […]

Choropleth Mapping 6 Years of American Television

Kalev's latest Forbes piece features a choropleth map visualizing the total number of times each country in the world has been mentioned on American television news shows monitored by the Internet Archive over the last 6 years. Creating this map required just a single line of code in Google BigQuery and just 2.2 seconds to complete and […]

Alex Bresler's gdeltr2 Package

Alex Bresler created this truly fantastic R package called "gdeltr2" that offers a powerful set of R interfaces to an ever-growing collection of GDELT's datasets and APIs. If you're working with GDELT using R, you should definitely check out this package! Learn More.

Strata + Hadoop World Keynote Global Happiness Map

Attendee Walid Mehanna tweeted this fantastic image of Jordan Tigani's Strata + Hadoop World keynote that featured, among other topics, how GDELT is making use of BigQuery to explore global society at unprecedented scale and in realtime. See the Tweet.

GDELT Featured In Strata + Hadoop World Keynote

In his keynote presentation at Strata + Hadoop World in London two weeks ago, Jordan Tigani featured how GDELT is making use of BigQuery to achieve its groundbreaking studies of global human society. Learn More.

Why We Need More Domain Experts In The Data Sciences

Kalev's latest piece for Forbes explores the dangerous gap between the producers and consumers of data sciences today and why we need more domain experts for the field to reach its full potential. Read the Full Article.

WATSON, GDELT, Jigsaw etc

Tiffany Trofino, Principle Strategist at IBM, wrote recently on LinkedIn about the future of using data for understanding global conflict. Read The Full Article.

Here’s the data that told us Bernie Sanders would lose

Putting together data from the television tracker, Cloud Vision analysis of political imagery, and Jordan and Felipe's talk from Google I/O 2016, Kalev's latest piece for the Washington Post focuses on the state of the Democratic race and how the data clearly showed Bernie on the wane long before his eventual loss. Read the Full […]

Using Google's Deep Learning To Model Visual Portrayal In The News

With the debut of the GDELT Visual Global Knowledge Graph (VGKG), which uses Google's Cloud Vision API deep learning algorithms to catalog global news imagery, we've been immensely excited about the ways this incredible technology can be used to catalog and understand global visual narratives. This time, Felipe Hoffa came up with an incredible way of combining the GKG […]

Bayesian Poisson Tucker Decomposition for Learning the Structure of International Relations

Researchers Aaron Schein (University of Massachusetts Amherst), Mingyuan Zhou (University of Texas at Austin), David Blei (Columbia University) and Hanna Wallach (Microsoft Research) presented "Bayesian Poisson Tucker Decomposition for Learning the Structure of International Relations" at the 33rd International Conference on Machine Learning. Read the Full Paper.

NGramming 9.5 Billion Words of Arabic News

One of the amazing things that happens when you monitor the world at GDELT's scale is that you begin to observe language evolving in realtime. New words and grammatical constructs come into being, older words and structures fade from use, punctuation rules change and the topics, contexts and ways in which language use are in constant flux. […]