Recommenders in News Media
NAMS 2026 Side Event
May 26
Recommenders in News Media
NAMS 2026 Side Event
May 26
At this year’s Nordic AI and Media Summit (NAMS), we are organizing a NAMS side event on Recommender systems in News Media. News recommendations operate under a rare combination of constraints. Editorial goals, public interest, trust and transparency requirements, evolving regulation, fast changing user behavior, and shifting platforms all shape what is possible. Join news recommender practitioners and researchers in Copenhagen for a focused day on what works, what breaks, and what we can build together.
NAMS side events are independently organized events that take place in the same week as NAMS. They are not-for-profit and organized by members of the AI in Journalism community who organize speakers, formats, and participants’ registrations themselves. While NAMS is not involved in the organization of side events, NAMS loves community organized side events and sometimes supports them with logistics, communication and connections to speakers.
When: May 26, 2026, 10:00 AM–4:00 PM. Doors open at 9:30 AM.
Where: SOHO, Flæsketorvet 68, 1, 1711 Copenhagen, Denmark
Cost: Free (No NAMS ticket required)
Please be aware that this is a NAMS Side Event and does not grant access to the full NAMS ’26 event.
Registration is closed.
Introduction
Session 1. Today: recent work and current activities
Session 2. Making news recommenders work
with contributions by Kim Falk (DPG Media), Simen Boudd (Schibsted), Morten Arngren (Anthill Technology), Dietmar Jannach (University of Klagenfurt), Sanne Vrijenhoek (CWI), Noah Mamie (UZH) and Annelien Smets (VUB)
Session 3. Recommenders in the newsroom
with contributions by Amelie Sutton (USA Today Co.), Tarjei Gilbrant (Kilkaya), Jannie Møller Hartley (Roskilde University), Martha Elliott (BBC), Jasmin Kareem (University of Amsterdam) and Alain Starke (University of Amsterdam)
Lunch break
Session 4. Breakout groups: deep-dive discussions
Session 5. Posters and demo's
Session 6. Plenary session and closing remarks
Practical lessons from teams building news recommender systems today
A comparison of approaches and trade-offs, including what people would do differently
Broaden your professional network across industry and academia
If you have questions, or if you have signed up and cannot make it, please contact us at newsrecsys.nams@gmail.com.
Jon Tofteskov
JP/Politikens Hus
Johannes Kruse
JP/Politikens Hus
Sanne Vrijenhoek
Tenure track researcher at CWI
AI, Media and Democracy Lab
Annelien Smets
Research Professor at Vrije Universiteit Brussel