Salon Features Candidate Television Tracker

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. The piece was originally published in Media Matters. He also wrote an earlier piece in March about Trump's media dominance for the Huffington Post as […]

Iraq99 Features Candidate Television Tracker

Aqeel Mohammed Ghlim writes for Iraq99 about Donald Trump's rise to media fame and Megyn Kelly's interview 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.

LA Times Features Candidate Television Tracker: Bernie Blackout

David Lauter of the LA Times used GDELT's 2016 Candidate Television Tracker, which uses data from the Internet Archive's Television News Archive, to comment on the state of television coverage of the candidates and how the so-called "Bernie Blackout" phenomena does not appear to be genuine. Read the Full Article.

Politico Magazine Uses Candidate Television Tracker

Politico Magazine used GDELT's 2016 Candidate Television Tracker, which uses data from the Internet Archive's Television News Archive, to comment on Trump's television coverage as part of his live analysis of the April 26th primaries. Read More. (Search for "Internet Archive" in the article)

Automatic Results Translation Added To Fulltext Search API

Given that GDELT currently monitors and translates news from 65 languages in realtime, when you use the Full Text Search API you will frequently be presented with search results in a wide array of languages that you yourself may not be able to read. To help with this, you can now add "&trans=googtrans" to the HTML […]

GDELT Part Of Inaugural Google BigQuery Public Datasets

We're tremendously excited that GDELT is part of the inaugural set of Google BigQuery Public Datasets unveiled earlier this month! Google BigQuery Public Datasets. GDELT Book Corpus. List Of Publicly Available Datasets On Google BigQuery.

MasterCard Moves to Patent Analytics Work That Predicts Political Events

Today's Wall Street Journal quotes Kalev in an article about MasterCard's patent application to use event data coupled with financial transaction data to forecast global instability. Of particular interest, the patent application cites the use of the precise kind of geocoded global event data generated by GDELT, showcasing just how much GDELT's debut three years […]

Structure Data Video Now Available!

The video of Kalev's "legendary" Structure Data 2016 talk is now available! (Screencap). One massive database, all the world at your fingertips from Structure on Vimeo.    

To Stay Relevant, Newsrooms Rethink Campaign Coverage

Washington Post White House bureau chief Juliet Eilperin writes for Nieman Reports about the state of media coverage of the 2016 race, incorporating a number of statistics from the 2016 Candidate Television Tracker. Read The Full Article.

Is The Era Of Social Media Analytics Coming To An End?

Kalev's latest piece for Forbes explores the duality of social media's global ascendance and its transition from a broadcast megaphone to a private club where increasingly the world's social conversations are more and more inaccessible to analysis. Read The Full Article.

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, […]