Public Values in the Age of Personalized News
A joint research project between the Civic Machines Lab, Queensland University of Technology, Bayerischer Rundfunk, and the Australian Broadcasting Corporation
Aligning AI-powered personalization with public-service values
News organizations are increasingly expected to personalize what audiences see. Stories can now be adapted into different formats, lengths, or versions depending on the user. At the same time, public service media organizations carry a responsibility to inform citizens about issues of public importance and to maintain a shared understanding of the world.
This project explores how public service media organizations can balance editorial commitments, audience preferences, and the possibilities of AI-driven news personalization. It asks how personalization can support, rather than undermine, editorial judgement, public-service values, and trustworthy news production.
From personalized content to shared public understanding
Personalized news raises urgent practical questions for people working in and around news production.
How should decisions be made when audience preferences, editorial judgement, and organizational values do not fully align? What happens when news content is adapted dynamically or with the help of generative AI? And how can editorial responsibility be maintained when different users may see different versions of the same story?
The project frames this challenge as one of pluralistic AI alignment: the need to design AI systems that can account for different, sometimes competing, values while preserving the public-service mission.
What we are doing
We are speaking with professionals across Europe and Asia-Pacific in editorial, product, technical, design, and strategy roles to understand how editorial values are interpreted, negotiated, and operationalized in everyday work.
The project also includes audience surveys, socio-technical modelling, and participatory design with newsroom professionals. The goal is to create practical tools, guidelines, and proof-of-concept systems for responsible personalization in public service media.
Why this matters
Public service media organizations face a set of interconnected challenges that this project directly addresses.
- News personalization can make journalism more accessible and relevant, but it may also weaken shared public understanding.
- AI-assisted content adaptation creates new uncertainty around editorial oversight, responsibility, and control.
- Audience preferences, editorial judgement, and organizational values do not always align in everyday news production.
Underlying these challenges is a more fundamental question: how public service media can use personalization responsibly while preserving editorial values, public trust, and its role in informing society.
Partners
