Norwegian Computational Behaviour & AI Lab
On a mission to improve our lives that transforms the way we consume food and media.
Research Focus
News, Polarization & Democracy
Selective exposure, emotional framing, editorial curation, and the role of generative AI in journalism and civic discourse.
Health, Food & Behaviour
Recipe recommenders, cross-country dietary patterns, and AI-based systems to assist healthier and sustainable food choices.
Networks & Digital Platforms
Human–AI interaction dynamics on platforms; predicting ties, participation, diffusion, and collective behaviour with agents in the mix.
Methods & Democratic AI
Large-scale experiments, causal analysis, and human-in-the-loop evaluation of AI-enabled systems anchored in democratic values.
Key Publications
Healthiness & Environmental Impact of Dinner Recipes
Large-scale nutritional & environmental assessment of online dinner recipes across countries.
What Online Data Say About Eating Habits
News & Views outlining a data-science pipeline for studying dietary change via online interactions.
Similarity Functions for News with Human Judgments
Across three studies, text-based features—especially body text—align best with human similarity judgments.
Leveraging Professional Ethics for Responsible AI in Journalism
Argues for embedding professional journalism ethics as design constraints for responsible, human-centered AI.
GPT as an Adaptive Technology in Climate Change Journalism
Explores GPT as an assistive tool in newsroom workflows and implications for audience trust.
Understanding and predicting cross-cultural food preferences with online recipe images
Visual features from recipe images predict preferences across cultures; transfer works with caveats.
Investigating the Healthiness of Internet-Sourced Recipes
Evidence that popular web recipes skew unhealthy; signals for improving public health insights.
Exploiting Food Choice Biases for Healthier Recommendations
Models choice biases to nudge recommender systems toward healthier suggestions without hurting relevance.
Picture This: How Image Filters Affect Trust in Online News
Controlled study of common social-media image filters and their effect on perceived news trust.
Selected Projects & Grants
- 2020–2028 MediaFutures SFI — National Centre for Responsible Media Technology & Innovation (PI). mediafutures.no
- 2024–2025 REYNIR: Combatting Misinformation — Agenda Vestland initiative (Co-PI). reynir
- 2021–2025 NEWSREC — Research Council of Norway (Co-PI). newsrec.ai
Key Collaborators & Affiliates
- Prof. Dietmar Jannach – Chair of Computer Science, University of Klagenfurt, Austria
- Assoc. Prof. Alain Starke – Department of Communcation, University of Amsterdam, The Netherlands
- Prof. Ingmar Weber – Alexander von Humboldt Professor in AI, Saarland University, Germany
- Prof. Denis Parra – Associate Professor, Department of Computer Science, Pontificia Universidad Católica de Chile, Chile
- Prof. Alexander Felfernig – Professor of Applied Software Engineering, Graz University of Technology, Austria
- Prof. Luca Maria Aiello – IT University of Copenhagen (ITU Copenhagen), Denmark
- Assoc. Prof. Erik Knudsen – Department of Information and Media Studies, University of Bergen, Norway
- Prof. Jutta Dierkes – Department of Clinical Medicine, University of Bergen, Norway
- Prof. Peter Brusilovski – Department of Computer Science, University of Pittsburgh, USA
- Prof. Damian Trilling – Chair of Journalism Studies, Vrije Universiteit Amsterdam, The Netherlands
- Prof. Håvard Haarstad – Centre for Climate and Energy Transformation (CET), University of Bergen, Norway
Current PhD Students Co-Supervised by the Director
- Ayoub EL Majjodi – InfoMedia @ University of Bergen
- Arngeir Berge – NORCE / InfoMedia @ University of Bergen
- Anastasia Klimashevskaya – MediaFutures / InfoMedia @ University of Bergen
- Jia-Hua Jeng – MediaFutures / InfoMedia @ University of Bergen
- Svenja Lys Forstner – MediaFutures / InfoMedia @ University of Bergen
- Khadiga Seddik – NewsRec / InfoMedia @ University of Bergen
Work With Us
We welcome collaborations with newsrooms, health organisations, and platforms. If you are a prospective student or postdoc interested in computational behaviour & AI , please get in touch!
Contact
Director: Prof. Christoph Trattner — trattner.christoph@gmail.com