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Author: Kalev Leetaru
Behind The Scenes: Using The GCS Byte Range Selector To Reduce 500TB Of Network Bandwidth To 700GB
How Television News Story Segmentation Could Be Used To Help Citizens Connect With Their Local Governments
Prosperity and Posturing: New research uncovers domestic drivers of international aggression
Story Segmentation Of TV News: Testing On Evening News Broadcasts From A Decade & A Half Ago
Using Gemini 2.5's Structured Outputs To Enforce Consistent Stable JSON Output For Story Segmentation
Story Segmentation Of TV News: Segmenting A Week Of Evening TV News Into Stories & Adding Links To Each Clip
Story Segmentation Of TV News: A First Glimpse At Cataloging The Major Congressional Debates From CSPAN
Story Segmentation Of TV News: Experimenting With A Broader Array Of Show Types
Snopes: Fact Check: Yes, video shows Trump stumbling up steps to Air Force One
Story Segmentation Of TV News: Experimenting With Persian & Russian Broadcasts & English Translations
Story Segmentation Of TV News: Comparing A Week Of Evening News Human Segmentation With Gemini Pro, Flash Thinking And Flash Non-Thinking
Using Gemini 2.5 Pro To Assess Evidence Sourcing & Credibility In News Reporting On Conflict
Mass Translating Global Television News: Comparing Gemini Pro/Flash/2.5/2.0, Gemma & Google Translate
Video: Planetary Scale AI: Watching, Visualizing And Forecasting The Entire World In Realtime
Story Segmentation Of TV News: Comparing Gemini 2.5 Pro/Flash Thinking/Flash & Gemini 2.0 Flash/Flash-Light
Story Segmentation Of TV News: Having Gemini Chunk A Transcript Instead Of Following Timecodes
A First Glimpse Of Using Language Detection To Identify Language Examples From The TV News Archive
Story Segmentation Of TV News: Comparing Gemini 2.5 Pro/Flash, Gemini 2.0 Flash/Lite, Gemma 3 1/4/12/27B & ChatGPT 4o/o3
Interpretable Machine Learning for Macro Alpha: A News Sentiment Case Study
Planetary Scale AI: Watching, Visualizing And Forecasting The Entire World In Realtime
Using Gemini 2.5 As A Persona-Based News Recommender Service: Summarize Trump's Middle East Visit
Using Gemini 2.5 As A Persona-Based News Recommender Service: Analyze A Day Of Global AI Trends
Using Gemini 2.5 As A Persona-Based News Recommender Service: An Investment Advisor On How To Make Money
Behind The Scenes: XML Tags In TV News Closed Captioning Streams
Automatic large-scale political bias detection of news outlets
Behind The Scenes: Machine Translation Of Belarusian, Iranian, Russian and Ukrainian Channels Resumes
Using Gemini 2.5 As A Persona-Based News Recommender Service: Summarizing Trends From A Day Of Global Tariff & Trade War News
Tracking Global Media Attention To Tariffs, Trade Wars, Inflation and Stagflation
Next Month: Google I/O
Winning Minds, Not Votes: What the 2025 Canadian Election Teaches Us About #Narrative Leadership