EPISODE · Jan 5, 2026 · 1H 10M
#14 Algorithms vs Editors: Who Decides What You Read at Scale? Christoph Schmitz at Schibsted
from Insight Shapes News · host Kilkaya with Nils Ove Håland Riise
How should personalization work in journalism when trust, fairness, and editorial responsibility are at stake?In this episode of Insight Shapes News by Kilkaya, host Nils Ove Håland Riise speaks with Christoph Schmitz, Product Manager at Schibsted Media and lead of Curate, the content recommendation system used across several of the largest news brands in the Nordics.Christoph has worked with content recommendation for a long time. In this conversation, he explains how personalization is applied in practice inside a large media organization, and where the real risks appear when editorial judgment, algorithms, and audience behavior intersect.The discussion focuses on why segmentation models borrowed from advertising often fall short in a journalistic context, how dominant audience groups can shape recommendations in unintended ways, and why adding more data does not automatically lead to better outcomes. Christoph also shares how collaborative filtering is used at Schibsted, why it relies on reading behavior rather than tags or assumptions, and what its limitations are.A central theme throughout the episode is the role of the homepage. We explore why readers see different stories, why this can be difficult to explain internally, and why the very top of the page still carries editorial meaning even as personalization expands elsewhere. Christoph introduces the idea of the homepage as a shared reference point — a place where readers understand what matters at a given moment, whether they read every story or not.🎧 Topics we cover:What personalization means in an editorial contextWhy segmentation introduces structural bias in news recommendationHow dominant user groups influence what journalism gets visibilityCollaborative filtering explained through real newsroom examplesHow demographic data can reduce model performancePersonalization as a tool for fairer distribution of journalismWhy readers see different versions of the homepageThe editorial role of the homepage topWhy news products should not be designed like social platformsThe “bonfire” metaphor and its relevance for shared public understandingWhy personalization requires gradual, incremental changeIf you work with personalization, content recommendation, homepage strategy, or editorial-product collaboration, this episode offers a detailed and experience-based look at how these systems function in reality, and what needs to be handled with care.🎧 Subscribe to Insight Shapes News for conversations on journalism, personalization, and the strategic choices shaping the news industry.Chapters00:00 The Risks of Personalization02:47 Understanding Personalization in Media05:32 The Evolution of Personalization Models08:10 Collaborative Filtering and Its Impact10:54 The Role of Demographics in Personalization13:35 Challenges in Personalization for Newsrooms16:25 The Importance of Content Pool for Personalization18:41 The Misconceptions of Personalization21:17 The Future of Personalization in Journalism24:22 The Role of Desk Editors in Automated Systems26:59 The Concept of Liquid Content29:32 Building a Personalization Team32:04 Measuring the Value of Journalism35:06 Visualizing a Personalized HomepageResearch paper on personalization and long-term reader engagement: https://arxiv.org/abs/2510.09136INMA case study: https://www.inma.org/blogs/ideas/post.cfm/personalising-the-front-page-isn-t-just-smart-it-s-fairTrailer photo credit: Foto: Mathias Broe.
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#14 Algorithms vs Editors: Who Decides What You Read at Scale? Christoph Schmitz at Schibsted
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