Category: Uncategorized
GDELT Summary Chyron Browser Debuts!
Last month we announced our new research chyrons dataset, created by reprocessing the Internet Archive's "Third Eye" OCR using a…
Big Data Financial Sentiment Analysis In The European Bond Markets
An interesting look at how the sentiment data in GDELT can be used to understand bond markets. We exploit the…
Television News Research Chyrons Datasets Now Available In BigQuery
We're excited to announce that both the original per-minute and new per-second resolution television news research chyron datasets are available…
Announcing Per-Second Television News Research Chyrons Dataset
Last month we announced a new research-grade chyron / "lower third" dataset for BBC News, CNN, MSNBC and Fox News…
Television News Spoken Word Neural Entity Graph (TV News GEG) Now Updating Daily
We're tremendously excited to announce that the television news spoken word neural entity graph announced last month has now been…
Using Wikipedia To Normalize The Classic Global Entity Graph (GEG) G1 Baseline
Last week we unveiled the new Wikipedia-normalized enrichment of the Classic Global Entity Graph (GEG) G1 Baseline, applying it retroactively…
Using The Classic Global Entity Graph (GEG) To Find Name Variants & References To Donald Trump In The News
One of the most powerful elements of the new Wikipedia-normalized classic Global Entity Graph (GEG) announced last week is its ability…
Wikipedia Normalization Now Live For Classic Global Entity Graph (GEG) G1 Baseline 2019 Dataset
The entire January 1, 2019 – present classic Global Entity Graph (GEG) G1 baseline dataset has been updated to include…
Tracing Star Wars And Game Of Thrones On Television News
How much buzz is the final chapter in the 9-film Star Wars saga generating on television news? The timeline below…
Neural Global Entity Graph (GEG) Historical Backfile Updated With New Language Field
As the neural Global Entity Graph (GEG) expands beyond English, earlier this week we updated its BigQuery table to add…
Wikipedia Normalization For the Classic Global Entity Graph (GEG) G1 Baseline Dataset
One of the powerful features of the neural Global Entity Graph (GEG) is its ability to normalize a wide range…
Neural Global Entity Graph (GEG) Expanding Beyond English
Unlike the rest of GDELT, which live translates from 65 languages, the neural Global Entity Graph (GEG) processes only English…
News Channel Chyrons Signal Diverging Narratives
In an era when Americans increasingly perceive a fractured Fourth Estate, television news has nonetheless largely focused on the same…
Using Chyron Correlation To Detect Contested Narratives
One of the most interesting findings of our chyron correlation analysis is the way in which it so clearly surfaces…
Chyron Correlation: Comparing Television News Chyrons Over The Past Three Years
Since August 2017, the Internet Archive's Television News Archive has extracted the chyrons of CNN, MSNBC, Fox News and BBC…
Using The Inference API + Cloud Video To Uncover The Visual Correlations Of A Decade Of Television News
Rather than having the Cloud Inference API surface the most significant visual labels of each day from television news of…
A By-Station Visual Chronology Of The Top Visual Themes Of Television Evening News 2010-2019 Using Cloud Video + Inference API
Using the new visual entity graph constructed by having the Cloud Video API watch a decade of evening news broadcasts on…
A By-Station Visual Chronology Of The Top Visual Themes Of Television Evening News 2010-2019 Using Cloud Video + BigQuery
Using the new visual entity graph constructed by having the Cloud Video API watch a decade of evening news broadcasts on…
Visualizing The Visual Entity Graph Of A Decade Of Television News
Using the new visual entity graph constructed by having the Cloud Video API watch a decade of evening news broadcasts…
Visualizing The Most Important Relationships of 2009-2019 Through The Eyes of TV News
Having had Google's Cloud Natural Language API non-consumptively read through the transcripts of a decade of television news from the Internet Archive's Television…
Tracing Merriam-Webster's Words Of The Year 2010-2019 In Television News
Looking back at the words choosen as the word of the year by Merriam-Webster each year over the past decade,…
A Television News Chronology Of The Most Important Topics & Things 2009-2019 Using Cloud Inference & Natural Language APIs
Last week we unveiled the results of having Google's Cloud Natural Language API non-consumptively read through the transcripts of a decade of television news…
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 candidates. Read…
A By-Station Topical Chronology Of A Decade Of Television News Using Cloud Natural Language & BigQuery
Earlier today we showed how the Cloud Natural Language API could read through a decade of television news transcripts to…