Dr. H. (Hannes) Cools
Faculteit der Maatschappij- en Gedragswetenschappen
Programmagroep: Political Communication & Journalism
Bezoekadres
- Nieuwe Achtergracht 166
- Kamernummer: C8.00
Postadres
-
Postbus 15791
1001 NG Amsterdam
Contactgegevens
Social media
-
Profile
Hannes Cools is a postdoctoral researcher at the AI, Media, and Democracy Lab at the University of Amsterdam, The Netherlands. He is also a postdoctoral researcher at the Digital Democracy Centre (DDC) at the University of Southern Denmark. His research interests include (generative) AI, computational journalism, algorithmic recommender systems and newsroom innovation. He is also an affiliated researcher at the Brown Institute of the Columbia Journalism School in New York City. From 2018 till 2022, he was a PhD-candidate at the Institute for Media Studies (IMS), University of Leuven (KU Leuven), Belgium where he studied AI in journalism. Before, he worked as a journalist at De Morgen (DPG Media) in Belgium where he covered technology and international politics.
Expertise and research groups
- Artificial Intelligence
- News automation
- Newsroom Innovation
- AI in News
- Generative AI
-
Research
Research methods
- Qualitative methods
-
Publicaties
- refereed (10)
- wetenschappelijk (1)
- vakpublicatie (1)
- populair wetenschappelijk (1)
- erkenning (2)
- proefschrift (1)
2024
Cools, H. (2024). Hoe algoritmen een extra laag toevoegen aan de journalistiek: Op zoek naar bewijs van redacties en hun innovatielabs. Tijdschrift voor Communicatiewetenschap, 52(1), 83-105. https://doi.org/10.5117/TCW2023.X.004.COOL [details]- Cools, H., & Diakopoulos, N. A. (2024). Uses of generative AI in the newsroom: Mapping journalists' perceptions of perils and possibilities. Journalism Practice. Advance online publication. https://doi.org/10.1080/17512786.2024.2394558
- Cools, H., & Koliska, M. (2024). News Automation and Algorithmic Transparency in the Newsroom: The Case of the Washington Post. Journalism Studies, 25(6), 662-680. https://doi.org/10.1080/1461670X.2024.2326636?src=exp-la [details]
- Cools, H., Van Gorp, B., & Opgenhaffen, M. (2024). New Organizations, Different Journalistic Roles, and Innovative Projects: How Second-generation Newsroom Innovation Labs are Changing the News Ecosystem. Journalism Practice, 18, 1605-1620. https://doi.org/10.1080/17512786.2022.2097940
- Cools, H., Van Gorp, B., & Opgenhaffen, M. (2024). Where exactly between utopia and dystopia? A framing analysis of AI and automation in US newspapers. Journalism, 25(1), 3-21. https://doi.org/10.1177/14648849221122647
- Cools, H., van Gorp, B., & Opgenhaffen, M. (2024). Newsroom Engineering Teams as “Survival Entities” for Journalism? Mapping the Process of Institutionalization at The Washington Post. Digital Journalism, 12(2), 171–190. https://doi.org/10.1080/21670811.2023.2195115
- Lamot, K., Cools, H., & Gevers, I. (2024). Exploring the Relationship Between Stylistic Features and Reactions on Facebook: A Comparative Analysis of Newspaper Headlines and Status Messages. Journalism Studies, 25(9), 990-1009. https://doi.org/10.1080/1461670X.2024.2359497 [details]
2023
- Cools, H., Van Gorp, B., & Opgenhaffen, M. (2023). The levels of automation and autonomy in the AI-augmented newsroom: Toward a multi-level typology of computational journalism. In S. Nah (Ed.), Research handbook on artificial intelligence and communication (pp. 284-299). Edward Elgar Publishing. https://doi.org/10.4337/9781803920306.00027 [details]
2022
- Cools, H., van Gorp, B., & Opgenhaffen, M. (2022). New Forms of Gatekeeping in the Age of Computational Journalism. In Futures of Journalism: Technology-stimulated Evolution in the Audience-News Media Relationship (pp. 161-175). Palgrave Macmillan. https://doi.org/10.1007/978-3-030-95073-6_11
2021
- Cools, H., Van Gorp, B., & Opgenhaffen, M. (2021). When algorithms recommend what’s new(S): New dynamics of decision‐making and autonomy in newsgathering. Media and Communication, 9(4), 198-207. https://doi.org/10.17645/mac.v9i4.4173
2024
- Diakopoulos, N., Cools, H., Helberger, N., Li, C., Kung, E., & Rinehart, A. (2024). Generative AI in Journalism: The Evolution of Newswork and Ethics in a Generative Information Ecosystem. AP. https://doi.org/10.13140/RG.2.2.31540.05765 [details]
2023
- Cools, H., & Diakopoulos, N. (2023). Towards guidelines for guidelines on the use of generative AI in newsrooms. Web publication or website, Medium. https://generative-ai-newsroom.com/towards-guidelines-for-guidelines-on-the-use-of-generative-ai-in-newsrooms-55b0c2c1d960 [details]
2024
- Helberger, N., & Cools, H. (2024). Future scenario writing with the news industry: Three lessons from the digital growth summit. Web publication or website, AI, media and democracy. https://www.aim4dem.nl/future-scenario-writing-with-the-news-industry-three-lessons-from-the-digital-growth-summit/
Prijs / subsidie
- Cools, H. (2024). Marie Curie Fellowship.
Andere
- Naudts, L. (organiser), Helberger, N. (organiser), Cools, H. (organiser), Piasecki, S. (organiser), Sara, S. (organiser), Rinehart, A. (participant), Diakopoulos, N. (participant), Caswell, D. (participant) & de Lima Santos, M. (participant) (30-4-2023). The Impact We Generate #2. For our second session, we will explore the practical challenges of Generative AI for news media. How does the integration of Generative AI benefit (…) (organising a conference, workshop, ...).
2022
- Cools, H. (2022). How algorithms are augmenting the journalistic institution: In search of evidence from newsrooms and its innovation labs.
This list of publications is extracted from the UvA-Current Research Information System. Questions? Ask the library or the Pure staff of your faculty / institute. Log in to Pure to edit your publications. Log in to Personal Page Publication Selection tool to manage the visibility of your publications on this list. -
Nevenwerkzaamheden
Geen nevenwerkzaamheden
Cools, H. (2024). Hoe algoritmen een extra laag toevoegen aan de journalistiek: Op zoek naar bewijs van redacties en hun innovatielabs. Tijdschrift voor Communicatiewetenschap, 52(1), 83-105.