Safeguarding Diversity in News Recommendation

News diversity, an important societal foundation for upholding democratic balance and avoiding polarization in the media content and users, is being eroded by data, algorithms and artificial intelligence (AI) in the digital era. This project investigates how the current situation is and how recommendation models can be redesigned or adjusted to fit different normative goals of news diversity in a Danish context. This interdisciplinary project assembles computer scientists, journalism researchers and a news organization. The grant will finance a postdoc researcher in Computer Science and a research assistant in Journalism and workshops with relevant stakeholders in the media landscape.