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- News | Srpmedia
Latest updates 20 Jan 2026 Out now: Handbook of Platform Urbanism Online Book Launch for the Handbook of Platform Urbanism Read More 9 Dec 2025 12 PhD positions available The RePim Doctoral Network is looking for 12 PhD positions Read More 15 Sept 2025 Impressions of IBC 2025 Ulysse’s Impressions of the International Broadcasting Convention 2025: Shaping The Future. Read More 21 Jul 2025 AI Summer School 2025 Aina's recap of the AI Summer School at KU Leuven Read More 15 Jul 2025 Report Published: How to Ensure Visibility and Prominence for Media Services of General Interest in Flanders Commissioned by the Flemish Minister of Media, this research report investigates findability, discoverability, and due prominence for audiovisual and auditive media services. Read More 5 Jun 2025 Ciao from EMMA in Rome! Our presentations at the emma Conference 2025 Read More 22 May 2025 Talking about Stakeholder Perspectives at WMEMC Hanne presented her research on stakeholder alignment for news recommender system development Read More 19 May 2025 Second Annual ALGEPI Workshop Insights on AI, Innovation and Media Regulation Read More 31 Mar 2025 Looking back at IUI 2025 Ulysse attended the conference and presented at the AXAI workshop Read More 27 Mar 2025 Policy Brief on Public Service Media in Belgium Findings and recommendations on the organisational and cultural challenges facing PSM in Belgium Read More 4 Feb 2025 #Etmaal2025 Hanne looking back on her presentation on Stakeholder Alignment for News Recommender System (NRS) Implementation Read More 3 Feb 2025 Call for Papers Special Issue Special Issue on Public Service Media in the Age of Platforms Read More 27 Jan 2025 New Policy Brief: Streaming Public Service Television in the Age of Platforms Evaluating Public Service Media (PSM) in-house video-on-demand (VoD) services Read More 4 Nov 2024 New policy brief: International versus local VOD In a new policy brief and webinar, we present the findings of research on motivations of Flemish viewers Read More 1 Nov 2024 New report of the Fair MusE project New report "From Value Networks for Recorded Music to Music Ecosystem" Read More 28 Oct 2024 Diversity in VOD services: Seminar highlights from Madrid Throwback on the international seminar on diversity and VOD services Read More 23 Oct 2024 Looking back at RecSys 2024 Sharing our reflections on the ACM RecSys Conference 2024 Read More 16 Oct 2024 New research network for VOD research methods A new website with all there is to know about Video-on-Demand (VoD) research methods Read More 8 Oct 2024 The RecSys Conference 2024 Our contributions to the 18th ACM Conference on Recommender Systems Read More 1 Oct 2024 Our presentations at ECREA The SRP team presented their work at the ECREA 2024 Conference Read More
- Affiliated Projects | Srpmedia
Main Research Tracks News Recommenders in Small Media Markets Recommenders Read More LLMs and Recommenders Recommenders Read More Public Service Media and Platformization Platforms Read More Affiliated projects Elevating Customer Value of media recommendations through Enhanced User Satisfaction and Development Recommenders, User studies Read More Promoting Fairness of the Music Ecosystem in a Platform-Dominated and Post-Pandemic Europe Artificial Intelligence, Copyright, Media Policy, Music Industry, Platforms Read More Public Service Media in the Age of Platforms Platforms, Media Policy Read More Serendipity Engine Recommenders, Artificial Intelligence, Smart City, Diversity and Serendipity Read More Streaming Affordances for small media markets Platforms, Public Service Broadcasting, Streaming Read More Understanding Algorithmic gatekeepers to promote Epistemic welfare Artificial Intelligence, Platforms, Regulation, Media Policy Read More All our affiliated projects are part of the Media Economics & Policy unit at imec-SMIT, Vrije Universiteit Brussel . Researchers in this unit work on fundamental and applied research tracks seeking to advance knowledge on how digitalization, internationalization, and platformisation are impacting the business models of traditional media players, how these media players innovate and interact with new players, and how governments contribute to sustaining or strengthening local media ecosystems. The Media Economics & Policy unit is headed by prof. dr. Tim Raats . Click here to learn more about other projects in the Media Economics & Policy unit
- Team | Srpmedia
Research Team Tim Raats Associate Professor Annelien Smets Research Professor Jeroen Peeters Senior Researcher Manager Pieter Van der Elst PhD Researcher Brett Binst PhD Researcher Pieter Ballon Full Professor Heritiana Ranaivoson Research Professor Adelaida Afilipoaie Postdoctoral Researcher Hanne Vandenbroucke PhD Researcher Dongxiao Li PhD Researcher Wendy Van den Broeck Associate professor Catalina Iordache Guest Professor Lien Michiels Postdoctoral Researcher Ulysse Maes PhD Researcher Aina Errando PhD Researcher
- Publications | Srpmedia
Publications Filter by Tags Select Tags Not that personal: A qualitative study of personalization practices on six European public streaming service Münter Lassen, J., Iordache, C., Martin, D., Bruun, H., Świtkowski, F., Nucci, A., & Johnson, C. (2026). Not that personal: A qualitative study of personalization practices on six European public streaming service. Television & New Media , 1–19. https://doi.org/10.1177/15274764251415356 Read More Dubbing wars: localisation strategies of transnational streaming services for Spanish ‘original’ works Gallo, P., & Iordache, C. (2026). Dubbing wars: localisation strategies of transnational streaming services for Spanish ‘original’ works. Convergence: The International Journal of Research into New Media Technologies , 1-17. https://doi.org/10.1177/1354856526141627 Read More Welcome to the Metrics Jungle: Organizational Stakeholder Perspectives on Evaluation of News Recommender Systems in Industry Vandenbroucke, H., Michiels, L., & Smets, A. (2025). Welcome to the Metrics Jungle: Organizational Stakeholder Perspectives on evaluation of news recommender systems in industry. ACM Transactions on Recommender Systems, Highlights of RecSys ’24. https://doi.org/10.1145/3778173 Read More From Experimentation to Strategy: The Ambidextrous Balancing Act of Developing News Recommender Systems Vandenbroucke, H., & Smets, A. (2025). From experimentation to strategy: the ambidextrous balancing act of developing news recommender systems. Journal of Media Business Studies , 1–28. https://doi.org/10.1080/16522354.2025.2590880 Read More Not One News Recommender To Fit Them All: How Different Recommender Strategies Serve Various User Segments Vandenbroucke, H., Maes, U., Michiels, L., & Smets, A. (2025). Not One News Recommender To Fit Them All: How Different Recommender Strategies Serve Various User Segments. In 19th ACM Conference on Recommender Systems Proceedings . ACM. Read More Interface real estate: Amazon Prime and visibility politics van Es, K., & Iordache, C. (2025). Interface real estate: Amazon Prime and visibility politics. Critical Studies in Television , 0 (0). https://doi.org/10.1177/17496020251375211 Read More Catching the waves: The case of VRT's digital-first audio strategy Van der Elst, P., Iordache, C., & Raats, T. (2025). Catching the waves: The case of VRT’s digital-first audio strategy. European Journal of Communication . https://doi.org/10.1177/02673231251370877 Read More Close Contact for Context: Qualitative Methodological Considerations for Assessing Prominence and Discoverability Iordache, C., Leiva, M. T. G., & Raats, T. (2025). Close Contact for Context: Qualitative Methodological Considerations for Assessing Prominence and Discoverability. Media Industries, 12(1), 111-132. https://journals.publishing.umich.edu/mij/article/id/7625/ Read More Challenges and requirements for implementing due prominence: aligning stakeholder interests in Flanders Van der Elst, P., Afilipoaie, A., & Raats, T. (2025). Challenges and requirements for implementing due prominence: aligning stakeholder interests in Flanders. Frontiers in Communication, 10. https://doi.org/10.3389/fcomm.2025.1569132 Read More Rethinking Transparency in Public Service Media: a multidimensional framework for better governance Van den Bulck, H., Horowitz, M., & Raats, T. (2025). Rethinking Transparency in Public Service Media: a multidimensional framework for better governance. Frontiers in Communication , 10. https://doi.org/10.3389/fcomm.2025.1569363 Read More Exploring Ethical and Regulatory Challenges of AI Integration in European Union Newsrooms Lefèvre, B., Errando, A., Afilipoaie, A., Ranaivoson, H., & Wiart, L. (2025). Exploring ethical and regulatory challenges of AI integration in European Union newsrooms. Media Studies , 16 (31), 31-55. Read More Intended, afforded, and experienced serendipity: overcoming the paradox of artificial serendipity Smets, A. Intended, afforded, and experienced serendipity: overcoming the paradox of artificial serendipity. Ethics Inf Technol 27 , 33 (2025). https://doi.org/10.1007/s10676-025-09841-6 Read More
- Understanding Algorithmic gatekeepers to promote Epistemic welfare | Srpmedia
< Back Understanding Algorithmic gatekeepers to promote Epistemic welfare ALGEPI Technological and economic developments have led to the availability of an overwhelming quantity of digital content. Therefore, it has become crucial, in particular for media content providers, to incorporate algorithmic gatekeepers, which filter, rank and recommend content. Are these algorithmic gatekeepers undermining media’s contribution to epistemic welfare? In ALGEPI, we start from the novel concept of epistemic welfare, defined as the individuals’ right to know and be exposed to trustworthy, independent and diverse information while respecting individual rights to their own data. By connecting legal, political, technological and sociocultural perspectives, we will develop a conceptual framework for epistemic welfare. This framework will allow us to understand the effects of algorithmic gatekeepers on epistemic welfare. The new interdisciplinary research program will build on multi-method empirical research applied to algorithmic gatekeepers. Thanks to the theoretical and empirical findings, we will be able to develop normative instruments to align algorithmic gatekeeping with epistemic welfare. Taking the novel concept of epistemic welfare as a starting point allows all project partners to embark on a joint, integrated exploration of the concept. This may lead to a paradigmatic shift in the conceptualization of the impact of algorithmic gatekeepers in media sectors, proposing to expand the notions of media pluralism and consumer welfare to epistemic welfare. Researchers on this project Aina Errando PhD Researcher Adelaida Afilipoaie Postdoctoral Researcher Heritiana Ranaivoson Research Professor Consortium partners Namur Digital Institute HUMAN-IST ReSIC Center de recherche Namur Digital Institute 1/6 Tags Artificial Intelligence, Platforms, Regulation, Media Policy Previous Next
- Catalina Iordache | Srpmedia
< Back Catalina Iordache Guest Professor catalina.iordache@vub.be Coming from an Eastern European background, my life completely changed in the early 1990’s when the colours and fast-moving images of cable TV reached our living room, and I experienced an instant fascination with film, television programmes and music videos. Through my studies, I became interested in the market forces behind audiovisual media and the cross-border flow of content. At SMIT, I have the opportunity to apply qualitative methods in investigating the production and distribution of content, as well as its consumption by diverse audiences. I have been working at imec-SMIT-VUB since 2014, where I obtained my PhD on the transnational flow of media content in the online environment in 2022. I am currently conducting postdoctoral research on the platformisation of Public Service Media (PSM) and am also a Guest Professor and co-titular of the course Media, Culture and Globalisation Theories, for the Digital Media in Europe Master’s programme at the VUB. During my time at SMIT, I have also conducted research on the topics of media literacy, digital literacy and e-inclusion, and acted as Teaching Assistant for the Bachelor in Social Sciences programme. Before joining academia, I worked as a project manager in the cultural field with a community arts organisation based in Edinburgh. I then moved to Brussels and followed the international MSc in Communication Studies at the VUB. I also hold a BA in International Relations, European Studies. Visit my research profile
- Serendipity Engine | Srpmedia
< Back Serendipity Engine SBO We increasingly rely on algorithmically generated recommendations to navigate in both online and offline contexts: listening to music on streaming platforms, reading news online, or following recommendations about activities and events in your favorite city. These recommender systems help us dealing with the abundance of available information, but at the same time raise questions about their impact on individual citizens and society. Many advocate for designs for serendipity in recommenders, but what does this mean in practice? While serendipity is generally understood as a beneficial design principle ought to deliver societal value, putting it into practice still presents major challenges. The Serendipity Engine project sets out to address these challenges and support societal stakeholders in designing recommender systems to foster serendipity in public contexts. Researchers on this project Lien Michiels Postdoctoral Researcher Brett Binst PhD Researcher Annelien Smets Research Professor Consortium partners SBO_ IDLAB.png SBO_ ADREM.png SBO_ IMEC.png SBO_ IDLAB.png 1/3 Tags Recommenders, Artificial Intelligence, Smart City, Diversity and Serendipity Previous Next
- Talking about Stakeholder Perspectives at WMEMC | Srpmedia
< Back Talking about Stakeholder Perspectives at WMEMC 22 May 2025 Hanne presented her research on stakeholder alignment for news recommender system development Today at WMEMC, Hanne presented her work on what happens behind the scenes of news organizations that are developing in-house News Recommender Systems (NRS). Spoiler alert: it’s no smooth ride. As newsrooms explore the possibilities of algorithmic curation, it turns out there's a lot more involved than just building smart tech. The real challenge? Getting all organizational stakeholders on the same page: journalists, software developers, managers, and business units each have their own goals, logics, and some concerns or doubts about (personalized) news recommendations. That’s where Hanne's research comes in. By setting foot in large-scale commercial news organizations (in Belgium, the Netherlands, and Scandinavia) and speaking to different stakeholders. Those interviews allow to explore the intricate (and let's be honest, sometimes messy) process of getting all organizational stakeholders to cooperate and negotiate NRS. The result? Balancing on a tightrope while juggling goals, demands, and objections. 🔹 Balancing Act #1 : Aligning Stakeholders Different stakeholder groups - newsroom, commercial units, and tech development teams - hold different perspectives on the opportunities and risks of (personalized) recommendations. Opposing views and expectations might lead to tensions between departments, and different product owners (POs) are assigned the role of mediators. These POs are ambidextrous actors with knowledge, experience, and professional backgrounds, crossing the traditional stakeholder boundaries, which enables them to create a shared understanding, translate jargon and build bridges between distinct stakeholder groups. A multi-disciplinary, cross-functional team of different POs, each representing another stakeholder group, sits around the negotiation table, and they are in charge of the decision-making around NRS. 🔹 Balancing Act #2 : Exploration vs. Exploitation Organizations constantly have to decide: do we explore new features and test new capabilities, or do we focus on optimizing our current technologies for ROI? With limited resources, news organizations can’t do both at full speed, simultaneously. Therefore, the team of POs needs to decide on which actions should be undertaken and, in doing so, develop a strategic roadmap navigating the tricky waters of budget and time allocations, and find that sweet spot between experimentation and exploitation. Both balancing acts are intertwined, as good alignment between stakeholders facilitates how these trade-offs are made. And the decisions made about the strategic roadmap for NRS development, in turn, influence whether stakeholders stay aligned or drift apart. It’s a dynamic, ongoing dance. The big takeaway? We need better, smarter ways to manage the decision-making on AI innovation in newsrooms, whether that relates to NRS or generative AI. This study is a first step in that direction — and just the beginning of figuring out how to align perspectives, reduce friction, and get these powerful tools off the ground in ways that actually work. Because building a scalable and effective recommender system is hard. But getting different stakeholders to agree on what the NRS design such look like? That’s where the real challenge lies. Previous Next
- We're in this together: a multi-stakeholder approach for news recommenders | Srpmedia
< Back We're in this together: a multi-stakeholder approach for news recommenders Smets, A., Hendrickx, J., & Ballon, P. (2022). We're in this together: a multi-stakeholder approach for news recommenders. Digital Journalism , 10 (10), 1813-1831. https://doi.org/10.1080/21670811.2021.2024079 News recommenders are attracting widespread interest in scholarly work. The current research paradigm, however, holds a narrow (mostly user-centered) perspective on the recommendation task. This makes it difficult to understand that their design is in fact the result of a negotiation process among multiple actors involved, such as editors, business executives, technologists and users. To remedy this, a multi-stakeholder recommendation paradigm has been suggested among recommender systems scholars. This work sets out to explore to what extent this paradigm is applicable to the particular context of news recommenders. We conducted 11 interviews with professionals from three leading media companies in Flanders (Belgium) and find that the development of news recommenders is indeed characterized by a negotiation process among multiple stakeholders. However, our results show that the initial multi-stakeholder framework is not adequately accommodating some of our findings, such as the existence of preconditions, the role of product owners, and the indirect involvement of particular stakeholders. Based on our analysis, we suggest an elaborated framework for multi-stakeholder news recommenders that can contribute to scholarship by providing a multi-sided perspective towards the understanding of news recommenders. Recommender Systems, Newsmedia, Stakeholders Previous Read the article Next
- Heritiana Ranaivoson | Srpmedia
< Back Heritiana Ranaivoson Research Professor heritiana.renaud.ranaivoson@vub.be While digital technologies have been here for quite some time already, I am still amazed by the changes they keep triggering in the cultural and media industries and how they allow (or constrain) these industries to innovate. I am particularly interested in the impact these changes have on the diversity of the content these industries produce and recommend. And eventually the policies that are needed in this new environment. I analyse these changes using my background in industrial economics, business modelling and media policy, with a peculiar interest in combining quantitative and qualitative research. I obtained my PhD in Economics (Université Paris 1, Panthéon-Sorbonne) in 2008 on cultural diversity in the recording industry. I also studied Economics and Management at Ecole Normale Supérieure de Cachan (France). Since then, and notably since I joined imec-SMIT-VUB in 2010, I have led several research projects at international and national levels for the European Commission ( H2020 , study contracts ), the Unesco , Google , etc. I have published extensively in the fields of cultural and media diversity , media innovation , media policy, audiovisual platforms , and the economic impact of digital technologies on creative industries . Visit my research profile
- Wendy Van den Broeck | Srpmedia
< Back Wendy Van den Broeck Associate professor wendy.van.den.broeck@vub.be As the world of media and television is ever changing, it’s something I’ll never grow tired of. My first research project was on interactive digital television and it is unbelievable how rapid the industry and the technology have evolved since. New services like time-shifted viewing, Netflix, personalised advertising and immersive media applications have entered our everyday lives. At the same time, these trends are often not as disruptive as expected. For example when iDTV was introduced, it was announced that broadcasters would disappear and the 30 second commercial would die a silent death. Users are often surprising in their habits and practices. On the one hand, old habits die hard and user patterns tend to change slowly. On the other hand, surprising or unexpected usage of technology can lead to fascinating new developments. That is why user research is my biggest passion. I like to interact with users and unravel their motivations and expectations. I really believe in our living lab approach that puts the user in the centre of the design and development process. By involving users from the very early stage of an innovation process, we can help to develop technological services and products that are really user-friendly and society proof. This also helps the media industry to face the different challenges and disruptions they have to cope with today. I am currently head of the Living Lab cluster at SMIT and assistant professor at the communications studies department of the Vrije Universiteit Brussel where I teach several international and national courses, most of them related to research methodology. My current research projects relate to personalised and immersive media and include the EU projects Immersia TV , CPN and HRadio. I joined SMIT in 2003, after completing a master in communication sciences (VUB-2002), and obtaining a postgraduate diploma in management and economics (VUB-Solvay-2003) and a teaching degree (VUB-2003). During my time at SMIT, I finished my PhD in communication sciences in 2010 entitled: “From analogue to digital: the silent (r)evolution? A qualitative study on the domestication of interactive digital television in Flanders”. Visit my research profile
- How Should We Measure Filter Bubbles? | Srpmedia
< Back How Should We Measure Filter Bubbles? Michiels, L., Vannieuwenhuyze, J., Leysen, J., Verachtert, R., Smets, A., & Goethals, B. 2023. How Should We Measure Filter Bubbles? A Regression Model and Evidence for Online News. In Proceedings of the 17th ACM Conference on Recommender Systems. News media play an important role in democratic societies. Central to fulfilling this role is the premise that users should be exposed to diverse news. However, news recommender systems are gaining popularity on news websites, which has sparked concerns over filter bubbles. More specifically, editors, policy-makers and scholars are worried that these news recommender systems may expose users to less diverse content over time. To the best of our knowledge, this hypothesis has not been tested in a longitudinal observational study of real users that interact with a real news website. Such observational studies require the use of research methods that are robust and can account for the many covariates that may influence the diversity of recommendations at any given time. In this work, we propose an analysis model to study whether the variety of articles recommended to a user decreases over time in such an observational study design. Further, we present results from two case studies using aggregated and anonymized data that were collected by two western European news websites employing a collaborative filtering-based news recommender system to serve (personalized) recommendations to their users. Through these case studies we validate empirically that our modeling assumptions are sound and supported by the data, and that our model obtains more reliable and interpretable results than analysis methods used in prior empirical work on filter bubbles. Our case studies provide evidence of a small decrease in the topic variety of a user's recommendations in the first weeks after they sign up, but no evidence of a decrease in political variety. Recommender Systems Previous Read the article Next
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