Author: Kalev Leetaru
Introducing Television News Monitoring For All: A New Pipeline For Instant Monitoring Of Breaking Global Events
The Internet Archive's Television News Archive encompasses over 9.5 million broadcasts totaling 6.6 million hours of airtime from 108 television…
LLM-Based Landscape Summarization Demos Coming Soon
Stay tuned for some exciting new demos coming soon combining GDELT's datasets with a series of LLM pipelines for global…
Updated Donald Trump Airtime Analysis Coming Soon
Stay tuned for an updated workflow tracking Donald Trump appearances coming soon.
GCP USM/Chirp ASR Tutorial Coming Next Week
Stay tuned for a new tutorial on using GCP's USM/Chirp ASR model next week!
New Television News Monitoring Workflow Coming Next Week
Stay tuned for a major new announcement about television news monitoring coming next week!
DOC 2.0 API + LLMs = Summarizing Headlines: Turkish Investment, Inflation & The Niger Coup
The DOC 2.0 API allows rich keyword search over English machine translations of GDELT's online news monitoring in 65 languages….
Extracting & Codifying Disease Outbreaks Using LLMs: Experiments With Bison, ChatGPT & Claude
Earlier this year we explored the use of LLMs for disease extraction and codification tasks from news coverage, testing how…
How Are Africans Talking About Climate Change And Who Is Doing The Talking?
This study identifies who is talking about climate change in Africa, both in the mainstream media and on Twitter, and…
Visually Describing TV News Broadcasts Using Generative AI Image Captioning: Experiments With Google's New Imagen
With the recent release into general availability of Imagen on Vertex AI, Google's new image-based generative AI foundational model for…
How Putin's Victory Day Parade Was Covered On Television News
Putin's Victory Day parade this past May was supposed to feature "10,000 people and 125 units of various types of…
Experiments In Meme Tracking: Extracting Titles, Affiliations & Relationships
Continuing our meme tracking series, we've seen that LLMs provide subpar entity extraction compared with traditional neural entity extractors. On…
Understanding Hallucination In LLMs: A Brief Introduction
There is a lot of confusion and misunderstanding about what "hallucination" is in large language models (LLMs), how it can…
The Growing Trend & Vast Dangers Of Outsourcing Decisions To LLMs
Not a day goes by the last few months were I don't receive at least a dozen pitches from various…
OpenAI's ChatGPT Holding Steady On Business TV News Channels But Little Mention On Others
The timeline below shows TV news coverage of OpenAI and ChatGPT, showing mainstream channels are mentioning ChatGPT little, even while…
Experiments In Meme Tracking: Cataloging Stories According To UN SDGs
Continuing our meme tracking series, let's look at how LLMs can be used to catalog stories according to their relevance…
Experiments In Meme Tracking: Western Values In A Globalized World, Context & The Problem Of Naive Guardrails
Continuing in our meme tracking series, let's explore using LLMs to catalog stories according to their expression of common forms…
Experiments In Meme Tracking: Cataloging & Classifying Memes By Conflict Enhancing Bias
Long before conflict becomes kinetic, narratives drive divisions within and between societies. Some narratives, especially those revolving around gender, racial,…
Inflation Coverage Remains Elevated On Business Channels & Has Faded On General Channels
Coverage of inflation remains down from its peak but steadily elevated across business channels, while on general news channels it…
Experiments In Meme Tracking: Summarization Stability & Plagiarization
Continuing our meme tracking series, let's take a closer look at the general task of summarization/distillation for English language online…
Experiments In Meme Tracking: Dividing Transcripts Into Stories – Part 4 & The Impact Of Capitalization, Punctuation & Hallucination
Continuing our meme tracking series, let's take a closer look at the general task of summarization/distillation. In particular, let's take…
Experiments In Meme Tracking: Dividing Transcripts Into Stories – Part 3
Following in our meme tracking series examining dividing television news broadcasts into their component stories, let's try yet another approach….
NYTimes: How Trump Benefits From An Indictment Effect
The New York Times examines media coverage of the GOP presidential field. Read The Full Article.
Experiments In Meme Tracking: Dividing Transcripts Into Stories – Part 2
Earlier today we explored a variety of approaches to dynamic semantic windowing of television news transcripts to break them into…
Experiments In Meme Tracking: Dividing Transcripts Into Stories – Part 1
Meme and story tracking involves identifying the core details of a specific story and tracking how it is covered over…