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Building a News Sleuth for the Deep Research Paradigm - AskNews

Qdrant - Vector Database & Search Engine via YouTube

Overview

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Learn to build an AI-powered news research system that combines journalistic integrity with machine-speed analysis in this 17-minute conference talk. Discover AskNews' Deep News Research methodology, which employs expert ontologies, rigorous sourcing protocols, and fair-use governance frameworks to create reliable automated investigation tools. Explore how raw news articles are transformed into contextualized information through entity and event linking, and understand the implementation of hybrid vector-lexical retrieval systems that support both exploratory and targeted queries. Master the technical architecture that enables AI agents to triage signals, trace claims, and surface contradictions across news sources for applications in geopolitical risk monitoring, investigative journalism, prediction markets, and fact-checking. Examine evaluation methodologies that prioritize precision, coverage, and timeliness while implementing safeguards against misinformation propagation. Gain practical insights into building AI research systems that maintain journalism's ethical standards while operating at computational scale, complete with a comprehensive blueprint for developing news analysis tools that respect editorial principles.

Syllabus

Building a News Sleuth for the Deep Research Paradigm | AskNews | Robert Caulk

Taught by

Qdrant - Vector Database & Search Engine

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