Reimagining Libraries In The Digital Era

Kalev's latest Forbes piece chronicles the last three years of his collaborations and projects data mining the Internet Archive's 20 petabytes of holdings and the lessons learned from those projects that shed light on the future of libraries in the digital "big data" era. Read the Full Article.

Are We Mining Data Instead Of Answering Questions?

Kalev's latest piece for Forbes explores the disconnect between the growing trend of "big data" to focus on algorithms and datasets and the actual questions that big data seeks to answer. Read the Full Article.

Revealing The Hidden Patterns Of News Photos

This new paper by Haewoon Kwak and Jisun An of the Qatar Computing Research Institute, titled "Revealing the Hidden Patterns of News Photos: Analysis of Millions of News Photos Using GDELT and Deep Learning-based Vision APIs" and published in The First Workshop on News and Public Opinion (NECO '16) uses the new GDELT Visual Global […]

Commentary Magazine Features Candidate Television Tracker

Matthew Continetti writes for Commentary Magazine about Trump's campaign and uses GDELT's 2016 Candidate Television Tracker, which uses data from the Internet Archive's Television News Archive, to comment on television coverage of his campaign. Read the Full Article.

The Datasets Of GDELT As Of February 2016

What would it look like to use massive computing power to see the world through others’ eyes, to break down language and access barriers, facilitate conversation between societies, and empower local populations with the information and insights they need to live safe and productive lives? By quantitatively codifying human society’s events, dreams and fears, can […]

Structure Data 2016 Recap: A "Legendary" Talk

In his recap of Structure Data 2016, Structure Events Executive Editor Tom Krazit specifically cited Kalev's GDELT presentation: Kalev Leetaru of GDELT delivered a legendary Structure Data talk on the power of data to understand our world Speaking more broadly about the conference, he summarized the 2016 conference as: Over the years we've put together Structure Data, […]

Salon Features Candidate Television Tracker: Trump Mania

Eric Boehlert writes for Salon about Trump's campaign and uses GDELT's 2016 Candidate Television Tracker, which uses data from the Internet Archive's Television News Archive, to comment on television coverage of his campaign. Read the Full Article.

News 4 San Antonio Features Candidate Television Tracker

Amanda Ota reports for News4 San Antonio about Trump's campaign and uses GDELT's 2016 Candidate Television Tracker, which uses data from the Internet Archive's Television News Archive, to comment on television coverage of his campaign. Read the Full Article.

Independent Journal Review Features Candidate Tracker

Frank Camp writes for the Independent Journal Review about Trump's campaign and uses GDELT's 2016 Candidate Television Tracker, which uses data from the Internet Archive's Television News Archive, to comment on television coverage of his campaign. Read the Full Article.

Cyberinfrastructure For Network Science Center

Kalev will be visiting the Cyberinfrastructure For Network Science Center at Indiana University on March 21st to talk about "Quantifying, Visualizing, and Forecasting Global Human Society Through “Big Data”: What it Looks Like To Compute on the Entire Planet." Learn More.

Using Google's Deep Learning AI To Geolocate Global News Imagery

Kalev's latest piece for Forbes explores what it looks like to apply Google's Cloud Vision API deep learning neural network image analysis software to 19.6 million global news images drawn from across the world, geolocate as many of them as possible, and put them all on a map. You can also read the technical details […]

Mapping Global News Imagery Via Google Cloud Vision API

To showcase the power of the new Visual Global Knowledge Graph (VGKG), which reached 19.6 million images as of March 1st, we decided to map all of the images for which the Google Cloud Vision API was able to determine the geographic location depicted in the image, resulting in a map of more than 336,000 images […]

Wired Features Candidate Television Tracker

Wired used GDELT's 2016 Candidate Television Tracker, which uses data from the Internet Archive's Television News Archive, this afternoon to chart Trump's mastery of the 2016 campaign media system. Read the Full Article.

Rassd News Network (RNN) Features Candidate Television Tracker

Khaled Omar writes for the Rassd News Network about Donald Trump, commenting on Mohammed Minshawi's earlier article, and uses GDELT's 2016 Candidate Television Tracker, which uses data from the Internet Archive's Television News Archive, to comment on television coverage of his campaign. Read the Full Article.

Shorouk News Features Candidate Television Tracker: Donald Trump

Mohammed Minshawi writes for Shorouk News, a prominent Arabic language newspaper published in Egypt, about Donald Trump and uses GDELT's 2016 Candidate Television Tracker, which uses data from the Internet Archive's Television News Archive, to comment on television coverage of his campaign. Read the Full Article.

US Department of Defense SMA Speaker Series Presentation 2016

Kalev presented today as part of the US Department of Defense SMA Speaker Series, providing an update on GDELT's massive progress through 2015, including an overview of its new Stability and Full Text APIs, BigQuery Terascale/Petascale analysis capabilities and its early use of the new Cloud Vision API to apply deep learning analysis of global news […]

What It Looks Like To Process 3.5 Million Books In Google’s Cloud

GDELT's processing of the complete 1800-2015 English-language public domain digitized books collections from the Internet Archive and HathiTrust (totaling 3.5 million volumes) was featured last week on the Google Cloud Platform blog! You can learn more about the project, see more technical detail, experiment with sample BigQuery queries mining the entire collection, or even perform […]