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Chicago Tribune: How Elizabeth Warren's Camp Is Seeking To Regain The Spotlight

The Chicago Tribune reprinted the New York Times' look at the state of Elizabeth Warren's 2020 effort. Read The Full…

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Boston.com: How Elizabeth Warren's Camp Is Seeking To Regain The Spotlight

Boston.com reprinted the New York Times' look at the state of Elizabeth Warren's 2020 effort. Read The Full Article.

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NYTimes: How Elizabeth Warren's Camp Is Seeking To Regain The Spotlight

Today's New York Times references Elizabeth Warren's current fourth-place status in television news mentions using the Campaign 2020 tracker. Read…

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A Master Dataset Of Google Earth Appearances On Evening Television News

Following up on our analysis from earlier today tracking television news appearances of Google Earth, we've released the underlying CSV…

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Tracing How Television News Uses Google Earth To Illustrate Global Events

Over the past decade Google Earth has been a mainstay of American television news, helping audiences understand the geographic context…

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Comparing Human And Machine Transcripts: A List Of Common Differences

How do the automated television news transcripts generated by Google's Cloud Video API compare with the human-produced captioning viewers see?…

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Using Automated Speech Recognition To Precision Align Human Closed Captioning

Human-generated closed captioning remains the gold standard for live television news broadcasts, but the use of human transcriptionists to listen…

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Trump's Tweets Aren't Getting The Same Television News Attention They Did In 2017

President Trump has eschewed many of the traditional presidential communications norms to speak directly to the world through his @realDonaldTrump…

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Visual Global Entity Graph 2.0: Master Visual Entity List

Google's Cloud Video API recognizes an incredible range of objects and activities, allowing the Visual Global Entity Graph 2.0 to…

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Television News Global Entity Graph 2.0: Now Live Updating

The Television News Global Entity Graph 2.0 announced yesterday is now live updating every 30 minutes, with most shows being…

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What Google's Natural Language API Sees In A Decade Of Television News: The Television News Global Entity Graph 2.0

What might it be like to use deep learning algorithms to non-consumptively "read" the closed captioning transcripts of more than…

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New York Times: Which Democrats Are Leading the 2020 Presidential Race?

The New York Times' look at the 2020 Democratic field uses the TV Explorer to examine media coverage of the…

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Visual Narratives: A Fracturing of the Nightly News

When we tune into television news, how different are the stories and perspectives we see on each channel? This fundamental…

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Visual Global Entity Graph 2.0: Visual Similarity At The Semantic Level

Historically, evaluating how "visually similar" two videos are has done through measuring the overlap of their color (and occasionally texture)…

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Visual Global Entity Graph 2.0: Assessing The Semantic Visual Similarity Of A Decade Of Television Evening News

To what degree does the view we see of the world around us vary based on the media outlets we…

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Visual Global Entity Graph 2.0: Using Semantic Visual Correlation To Identify Mislabeled Television Shows

The new Visual Global Entity Graph 2.0 covers more than 19 million seconds of airtime across four stations spanning ten…

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Visual Global Entity Graph 2.0: Tracking Protests On The Evening News 2009-2020

Last year we used the pilot version of the Visual Global Entity Graph to track depictions of protests on the evening…

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Visual Global Entity Graph 2.0: Tracking The Increasing Presence Of Police On The Evening News

Last year we used the pilot version of the Visual Global Entity Graph to track depictions of police on the…

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Visual Global Entity Graph 2.0: Now Live Updating

The Visual Global Entity Graph 2.0 is now updating every 30 minutes with a rolling delay of 24 hours! Some…

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Shining Light On Acronym's Shadow

In the aftermath of the Iowa caucus troubles, many of the organizations that had previously touted their associations with the…

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Visual Global Entity Graph 2.0: Now Available In BigQuery

The Visual Global Entity Graph 2.0 dataset is now available in BigQuery, allowing complex at-scale queries in seconds! gdelt-bq.gdeltv2.vgegv2_iatv

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Video AI: Comparing Frame Versus Airtime Analytic Resolutions For Content Analysis

Machines watching television news record what they see with frame-level precision, using nanosecond timestamps. Humans performing content analysis on video…

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Visual Global Entity Graph 2.0: Raw Full-Resolution API Output Now Available

Using AI to watch a decade of television evening news broadcasts poses fascinating and novel challenges when it comes to…

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Decentralized Socio-Technical Services And Applications For The Internet of Things – A Testbed Self-Integration

A fascinating IoT testbed architecture using GDELT's data feeds, by researchers at ETH Zurich and the University of Leeds. Read…