Mapping the Geography of American Television News

This collaboration with the Internet Archive's Television News Archive is exploring the geography of American television news using the Archive's collection of more than a half-million hours of television totalling 1PB of video and nearly 3 billion words of closed captioning. The largest study of television news ever conducted, this project is applying whole-corpus analysis […]

Mapping Half a Million Hours of the Internet Archive's TV Archive: Interactive Geographic Search

In collaboration with the Internet Archive Kalev mapped nearly half a million hours of American television news programming covering the last three years. Using "fulltext geocoding" computer algorithms, the closed captioning of each broadcast was processed entirely by computer to identify, disambiguate, and map every mention of a location worldwide. This interactive map allows you […]

Foreign Policy Magazine's Top 100 Global Thinkers of 2013

Foreign Policy magazine has named GDELT creator Kalev Leetaru as one of its Top 100 Global Thinkers of 2013, recognizing "the world's most exciting people … who have made a measurable difference in politics, business, technology, the arts, the sciences, and more." In its biography of Kalev, FP writes "Kalev Leetaru has a mind for […]

EIHR Estonian Conference on Human Rights and Freedom to Association

In December 2013, on the 65th anniversary of the passage of the Universal Declaration of Human Rights, Kalev traveled to Tallinn, Estonia, to present at the Estonian Institute of Human Rights' Annual Conference on Human Rights 2013: Human Rights and Freedom to Association. He spoke on the emerging application of big data towards monitoring human […]

Quoted in Discover Magazine's 100 Top Stories of 2013

Kalev was quoted as an "expert in big data," discussing the ways in which data exhaust is being used by governments to measure and monitor global human society in the #4 most important science story of 2013 in Discover Magazine's "The Year in Science: The 100 Top Stories of 2013", available December 3rd, 2013. See […]

The Tehran Connection – A Big Data Network View of Iran's Leadership

The GDELT Global Knowledge Graph to identify all people mentioned in articles referencing any location in Iran between April and October 2013. A list was compiled of every person mentioned in each article, and all names mentioned in an article together were connected. The end result was a network diagram of all of the people […]

Mapping Obamacare through the GDELT Global Knowledge Graph

Using a combination of the GDELT Global Knowledge Graph and the Internet Archive's Television News Archive, Kalev Leetaru analyzed national media discourse around Obamacare, including producing a sequence of heatmaps via the Global Knowledge Graph that chart the darkening stormclouds of public opinion. For the first time, we can use sophisticated computer algorithms to transform […]

Georgetown Presentation on Big Data, Global Diplomacy and Our Digital Heartbeat

Sponsored by the Institute for the Study of Diplomacy and the Master of Science in Foreign Service Program, GDELT creator Kalev Leetaru presents metrics on trending in social media and analysis of massive amounts of data in real time. Presented at the Mortara Center, Georgetown University, Washington, D.C. Watch the video.

Featured Voice for Foreign Policy Magazine

GDELT creator Kalev Leetaru is now a Featured Voice for Foreign Policy magazine, writing a regular column covering the ways in which big data is forever changing our understanding of global society and how we practice global diplomacy.  GDELT features prominently in his columns exploring how big data can be used to enhance statecraft in […]

USAID/HU Tech Challenge for Atrocity Forecasting Uses GDELT

The United States Agency for International Development (USAID) and Humanity United Model Challenge, the final round of the Tech Challenge for Atrocity Prevention, "asked innovative problem solvers to create algorithmic models that can help forecast when and where mass atrocities are likely to occur." Nearly 100 contributors submitted 618 algorithms to the competition, with the […]

GDELT now available in Palantir

For those using Palantir’s data analysis and visualization platform, you can now import the complete quarter-billion-record GDELT database, along with the daily updates, directly into the Palantir Gotham Data Fusion platform, where it can be mashed up, analyzed, and visualized against any other data to explore complex patterns and relationships! Existing users looking to load […]

Digital Diplomacy +SocialGood Forum

Kalev spoke on the future of data-driven diplomacy at the Digital Diplomacy +SocialGood Forum at the UN Foundation in Washington DC.  The Digital Diplomacy Coalition "brings together the diplomatic, international affairs and tech communities to share ideas & best practices to leverage digital for diplomacy."

Forecasting the Future of Afghanistan

Joshua Stevens, John Beieler, and Jay Yonamine created this absolutely stunning visualization of the past quarter-century of material conflict in Afghanistan, bringing together into a single visualization an incredibly rich spatio-temporal summary of the country's history. Even more powerfully, they coupled this with a forecasting model estimating likely changes in the level of material conflict […]

Gaza Goes Viral: An Analysis of Influence – Google Ideas Summit

At the Google Ideas Conflict in a Connected World summit in New York City on October 22, 2013, GNIP presented the results of an analysis of how Twitter was used by the Israel Defense Forces (IDF) and Hamas during the October 2013 Gaza conflict in the first full-scale study of the use of social media […]

Canadian Foreign Ministry Innovation Week

Kalev presented at the Canadian Foreign Ministry in Ottawa, Canada on the evolving applications of "big data" and data-driven diplomacy to reshape foreign diplomacy, as part of its Innovation Week.

John Deere Big Data Summit 2013

In October 2013, GDELT creator Kalev Leetaru presented at the John Deere Big Data Summit 2013, designed "to bring together analytic and big data thought leaders from inside and outside the company to showcase cutting edge academic thinking, applications and real life examples." Over the past decade Kalev has worked with a number of the […]

Oxford Internet Institute Maps Global Media Through GDELT

The Oxford Internet Institute produced this eye-catching visualization of the geography of the news media based on the GDELT global event stream. They include a number of interesting findings regarding how the world's nations are interconnected in the eyes of the global media and who gets attention and where. OII also produced this infographic breaking their findings […]

Google Constitute: Digitizing the World's Constitutions

The Google Constitute project has made headlines across the world in its efforts to digitize and make searchable the world's constitutions, to find ways technology can continue to support and improve constitution design, allowing drafters, academics and global citizens to find and compare the world's constitutions. Kalev was brought into the project seven years ago to completely […]

A Secure and Free Internet – United Nations General Assembly

Kalev was an invited participant in the "A Secure and Free Internet" event at the United Nations General Assembly on September 23, 2013, hosted in the UN Dag Hammarskjold Library Auditorium. Estonian President Toomas Hendrik Ilves gave the keynote address at the meeting, which focused on the role of cybersecurity and online privacy in the […]

Opening Presentation at Wolfram Data Summit 2013

Kalev gave the opening presentation at the Wolfram Data Summit 2013 on the 25th anniversary of the release of Mathematica, presenting on the world of big data and how the GDELT project is reshaping our understanding of human society. Check out the program.

Subsetting and Aggregating GDELT Using dplyr and SQLite

This is a guest post by Andrew Halterman. Edit 17 Sept to reflect changes in dplyr‘s syntax GDELT is an incredible resource for researchers and political scientists and has been getting increasing attention in popular publications. But weighing in at more than 60 GB, it’s too hefty for any kind of quick analysis in R, and is even cumbersome to subset in Python. […]