How Is "Wokeness" Being Covered On Television News?
How are the terms "woke" and "wokeness" being covered on television news? The timeline below shows total monthly mentions of the terms…
VGKG & GEN4: Execution Speed Versus Computational Overhead
Building massively scalable infrastructure entails myriad technical tradeoffs. One of the most basic involves the tradeoff between raw execution speed…
How Are Medical Professionals Being Covered On Television News?
How have medical professionals been covered on television news? The timeline below shows total daily mentions of doctors, nurses and "medical professionals"…
VGKG & Image Processing: Extreme Optimization Versus Generalized Pipelines
The Visual Global Knowledge Graph computes a range of characteristics about each image, from perceptual hashes to visual entropy, which…
How Was The Texas Synagogue Attack Covered On Television News?
How was the Texas synagogue attack covered on television news? The timeline below shows total mentions of the event across CNN, MSNBC…
Adopting Big Data To Create An "Outside-In" Global Perspective Of Guanxi
Previous research on the Chinese notion of guanxi has tended to use descriptive approaches to study its prevalence and influence…
LGBTQ Mentions On Television News Don't Increase Under Biden
How are LGBTQ issues being covered on television news? The timeline below shows total mentions of LGBTQ issues across CNN, MSNBC and…
Television News Is Still Talking About Donald Trump
One year after Joe Biden's inauguration, television news is still captivated by Donald Trump. The timeline below shows the total monthly mentions…
VGKG & GEN4: Massive Threading Versus Massive Process Parallelism
GDELT's original GEN1 crawling infrastructure relied heavily on process parallelism, with each machine running a set of processes overseen by…
Sohu: Searching History, Reasoning About The Future: Two-Stage Reasoning On Time Series Knowledge Graphs
This post on Sohu discusses knowledge reasoning over time series datasets. Read The Full Article.
VGKG & GDELT's GEN4 Crawling Infrastructure
The Visual Global Knowledge Graph was the first of GDELT's datasets to move to its GEN3 architecture and we are…
How Are SPACs Being Covered On Business Television News?
How are Special Purpose Acquisition Companies (SPACs) being covered on business television news? The timeline below shows total mentions of SPACs across Bloomberg, CNBC…
Partnership On AI: How Will AI Change Local News In The Next 5 Years?
A piece today by the Partnership on AI references GDELT and the future of using AI to understand the news….
Nature Scientific Reports: Forecasting Asylum-Related Migration Flows With Machine Learning And Data At Scale
A powerful new study in Nature Scientific Reports by researchers from the European Asylum Support Office (EASO) presents a data-driven…
How Has Brianna Kupfer Been Covered On Television News?
How has Brianna Kupfer's death been covered on television news? The timeline below shows total mentions of her name and the name of her…
Which SSL Certificate Providers Do News Outlets Use? A Global Inventory.
As the global online news landscape has increasingly made the transition to HTTPS, what are the SSL certificate providers they…
How Is "Democracy" Being Covered On Television News?
How is the word "democracy" being covered on television news? The timeline below shows total monthly mentions of it across CNN, MSNBC…
WashPost: The Murky Cause-And-Effect Of The Renewed Interest In Fraudulent Presidential Electors
The Washington Post's Philip Bump examines television news coverage of presidential electors. Read The Full Article.
How Are Covid Infections Being Covered On Television News?
As some major media outlets begin to deemphasize reporting of Covid-19 infections, with the AP telling its "editors and reporters to avoid emphasizing case…
How Are The Latest Ukraine Developments Being Covered On Television News?
How are the latest Ukraine developments being covered on television news? In remarks last week, President Biden distinguished between an…
Web NGrams 3.0 Tutorials Roundup
Over the past month we've created a series of tutorials showcasing how GDELT's massive new Web News NGrams 3.0 dataset…
Using Web NGrams 3.0 & Custom Media Catalogs To Segment By Country, State Ownership, Partisanship Or Other Attributes
Many research questions that interest media scholars involve segmenting the media by various characteristics, from country of origin to ownership…
Neural Entity Extraction, Disambiguation, Sentiment, Salience, Knowledge Graph Linking And Contextualization Via Web NGrams 3.0
Earlier this week we showed how to use the new Web NGrams 3.0 dataset to perform custom entity extraction over…
Custom Document-Level Neural Categorization Over The News Using Web NGrams 3.0
Earlier this week we showed how to perform custom thematic categorization of news coverage using keyword searches of the new…