Toward AI-Powered Source Audits: Building a Quote-Detection Tool for Accountability in Journalism

Bette Dam; Dhrumil Mehta; Sarah Grevy Gotfredsen; Tory Lysik; Sthavir Murthy

Toward AI-Powered Source Audits: Building a Quote-Detection Tool for Accountability in Journalism

Bette Dam
, Dhrumil Mehta
, Sarah Grevy Gotfredsen
, Tory Lysik
, Sthavir Murthy

Institut for Digitalisering

Columbia University

Publikation: Andet › Udgivelser på nettet - Net-publikation › Forskning

Abstract

This is our second blog post about Unheard, a new project designed to help news organizations uncover potentially overlooked narratives by using AI to audit who is quoted in their articles.

Originalsprog	Engelsk
Publikationsdato	11 nov. 2025
Udgivelsessted	New York City
Udgiver	Columbia University Graduate School of Journalism
Status	Udgivet - 11 nov. 2025

Adgang til dokumentet

https://www.cjr.org/tow_center/toward-ai-powered-source-audits.phpLicens: Ikke-specificeret

Handle.net

Persistent link

Citationsformater

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title = "Toward AI-Powered Source Audits: Building a Quote-Detection Tool for Accountability in Journalism",

abstract = "This is our second blog post about Unheard, a new project designed to help news organizations uncover potentially overlooked narratives by using AI to audit who is quoted in their articles.",

author = "Bette Dam and Dhrumil Mehta and Gotfredsen, \{Sarah Grevy\} and Tory Lysik and Sthavir Murthy",

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AU - Lysik, Tory

AU - Murthy, Sthavir

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PB - Columbia University Graduate School of Journalism

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