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Using Thumbnail Montages To Optimize AI-Based OCR Speed & Costs: Part 1

One of the most fascinating lessons we've learned from working with journalists and scholars using the Internet Archive's TV News…

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Replacing The Current Single-Frame Broadcast Thumbnails With Algorithmically-Selected Montage Thumbnails: Part 2

How might replacing our current single-frame television news broadcast thumbnails with montage thumbnails of algorithmically-selected representative frames from throughout a…

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Replacing The Current Single-Frame Broadcast Thumbnails With Algorithmically-Selected Montage Thumbnails

Instead of displaying a single isolated frame as the thumbnail for each television news broadcast in the Visual Explorer, what…

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Using Algorithmic Thumbnail Selection To Create Montage Preview Thumbnails For Television News

Continuing our series on algorithmic thumbnail selection for visual summarization of television news broadcasts, perhaps the most important question is…

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La Silla Vacia: Aidiosyncrasy And Memocracy

A fascinating comparison of media tone and approval ratings in Columbia. Read The Full Article.

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HUMVI: A Multilingual Dataset for Detecting Violent Incidents Impacting Humanitarian Aid

A paper by researchers at Dataminr, Insecurity Insight and Northwestern University uses GDELT as a global media index. Read The…

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More Experiments In Algorithmic Thumbnail Generation For Television News: Evening News Broadcasts

Continuing our series on algorithmic thumbnail generation for television news, what about a few examples drawn from evening news broadcasts,…

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Using Algorithmic Thumbnail Generation To Yield Better Single-Image Thumbnail Representations

Over the past several days we've explored applying ffmpeg's built-in representative frame detection "thumbnail" filter, returning to our earliest experiments…

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ChatGPT's o1-Preview "Reasoning Model" Fairs Little Better Than 4o On Our Thumbnail Experiments

Yesterday we explored the ability of ChatGPT's 4o foundational LLM to act as a brainstorming partner in the development of…

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ChatGPT's Unhelpful Take On Visually Summarizing Television News Broadcasts Through Thumbnails

Continuing our series on selecting "representative" frames from television news broadcasts to visually summarize them, thus far we've been experimenting…

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Visually Summarizing Television News Broadcasts Through Thumbnails: Algorithmic Vs Time-Based Experiments: Part 2

Continuing our experiments from yesterday creating representative thumbnails of a television news broadcast, let's look at how the two approaches…

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Scaling New Heights: Transformative Cross-GPU Sampling for Training Billion-Edge Graphs

A new paper by researchers at Wuhan University, NVIDIA and the University of Macau: Efficient training of Graph Neural Networks…

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Visually Summarizing Television News Broadcasts Through Thumbnails: Algorithmic Vs Time-Based Experiments

The Visual Explorer visually summarizes television news broadcasts through fixed 1/4fps thumbnail grids – an approach developed through extensive human…

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Comparing Television News Coverage Of Trump Vs Kamala Vs Biden

How are the two present and one former presidential candidates being covered on television news? The timeline below compares their…

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A Digital Twin Glimpse At The Internet Archive's TV News Archive: 27 Billion Seconds Over 10.9 Million Broadcasts From 327 Channels In 50+ Countries & 150+ Languages Over A Quarter-Century

Using our new BigQuery + Bigtable GCS digital twin, we can look across the entire Internet Archive's TV News Archive…

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Behind The Scenes: Network Intelligence Topology Mapping By GCP Service

Last year we explored how GCP's Network Intelligence Network Topology mapping can be used to understand the network flows across…

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WashPost: No Amount Of Evidence Will Convince Republicans Of Trump's 2020 Guilt

The Washington Post's Philip Bump examines media coverage of Donald Trump. Read The Full Article.

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TE-LSTM: A Prediction Model for Temperature Based on Multivariate Time Series Data

In the era of big data, prediction has become a fundamental capability. Current prediction methods primarily focus on sequence elements;…

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Compiling A List Of All Non-News Broadcasts In The TV News Archive From Business Channels Over The Past Decade: Part 2

Last month we compiled a list of distinct show names marked as non-news from each of the three business news…

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WashPost: Mark Robinson Offers Up The 2024 Version Of The I-Was-Hacked Defense

The Washington Post's Philip Bump examines media coverage of Mark Robinson. Read The Full Article.

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Using Our BigQuery + Bigtable + GCS Digital Twin To Track Historical Backfilling Progress

With our new BigQuery + Bigtable digital twin over our GCS archive, we can trivially compile ongoing inventories of our…

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Experiments With CCExtractor Using Our BigQuery + Bigtable + GCS Digital Twin

In December 2020 we unveiled a massive new initiative in collaboration with the Internet Archive's TV News Archive to catalog…

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Using Our BigQuery + Bigtable + GCS Digital Twin To Make Date-Based Random Samples For Content Analysis & Testing

A key concept in "content analysis" methodologies over large temporally diverse archives is the notion of time-based random samples: creating…

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Using Our BigQuery + Bigtable + GCS Digital Twin To Identify Missing Channels

One of the most powerful aspects of our BigQuery-analyzable Bigtable-based GCS digital twin is the capability it makes possible to…