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Unveiling groundbreaking research, innovative projects, and insights on Streaming, Recommender Systems, and Platformization (SRP) in European Media Markets. Streaming, Recommenders and Platformization in European Media Industries S trategic Research Programme at imec-SMIT, Vrije Universiteit Brussel SRP Media In our digital age, understanding the interplay between technology, society, and economics is crucial. Our research aims to analyze and ensure the economic and cultural sustainability of content production, aggregation, and consumption in an era of streaming, recommenders and platformization in European Media Industries. SRP Media is part of the Media Economics & Policy unit at imec-SMIT, Vrije Universiteit Brussel . Our research Latest news updates Out now: Handbook of Platform Urbanism 12 PhD positions available Impressions of IBC 2025 AI Summer School 2025 Report Published: How to Ensure Visibility and Prominence for Media Services of General Interest in Flanders Ciao from EMMA in Rome! Talking about Stakeholder Perspectives at WMEMC Second Annual ALGEPI Workshop More updates Contact us Pleinlaan 9, 1050 Brussels, Belgium Submit Thanks for your message!

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

< Back 12 PhD positions available 9 Dec 2025 The RePim Doctoral Network is looking for 12 PhD positions The Revisioning Public Interest Media (RePIM) Marie Skłodowska-Curie (MSCA) Doctoral Network is starting! We are recruiting 12 fully funded PhD positions, which are due to begin in May 2026 across eight leading European universities. RePIM’s research addresses key transformations in the media landscape, spanning content and format innovation, platform infrastructures, organisational change, audience engagement, and policy development. The 12 Doctoral Candidates will, supported by a comprehensive training programme, work across five thematic clusters: Content production and Distribution Infrastructures Organisation Policy and Regulation Audiences Each PhD project focuses on a specific dimension of Public Interest Media transformation, ranging from AI-assisted content creation, emerging storytelling formats, and recommender systems, to organisational restructuring, sustainable operational models, audience inclusion, and platform-era regulation. Successful applicants will join a vibrant, interdisciplinary community committed to ensuring that Public Interest Media can thrive and innovate in the digital age! Deadline for applications: 31 January or 8 February 2026 (depending on project) Interested in how Public Service Media and other quality media are affected by technological changes? Want to study the impact of AI on content development and distribution strategy, their infrastructures, and the implications for policy and audiences? Do you want to become one of 12 PhD students in a Europe-wide EU-project? How to apply Previous Next

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

Publications Filter by Tags Select Tags 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 What is Serendipity? An Interview Study to Conceptualize Experienced Serendipity in Recommender Systems Binst, B. , Michiels, L. & Smets, A. , 2025, (Accepted/In press).What is Serendipity? An Interview Study to Conceptualize Experienced Serendipity in Recommender Systems. Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization Read More Public service algorithms: Balancing the scales between public mission and market pressures at the BBC and VRT. Iordache, C., Martin, D., & Johnson, C. (2025). Public service algorithms: Balancing the scales between public mission and market pressures at the BBC and VRT. MedieKultur: Journal of Media and Communication Research, 40(78), 59-80. https://doi.org/10.7146/mk.v40i78.147182 Read More

< Back Calling all music lovers! 28 May 2024 Help us by providing your music listening data Your playlists have the power to drive change. By donating your favourite tunes to the Fair MusE project, you're not just sharing good vibes – you're supporting artists who deserve fair recognition and compensation! SMIT , the research group at imec & VUB, is part of a wider interdisciplinary team of academic and industry partners whose mission is to raise awareness about how music algorithms, data collection, and exploitation models of social media and streaming platforms influence music creators and audiences. In a nutshell, the three-year Horizon EU funded project aims to promote fairness for a more sustainable and competitive music ecosystem in Europe. If you are a user of Spotify, Apple Music or YouTube Music, be part of the change and donate your music streaming data here ! Let's build a more inclusive and equitable music industry, one playlist at a time! For more information you can reach out to info@fairmuse.eu . For updates stay tuned on LinkedIn . Previous Next

< Back Wrap-up of the RecSys Summer School 16 Jun 2023 Our key takeaways from the Recommender Systems Summer School in Copenhagen From 12 to 16 June, several researchers from the Media Economics & Policy Unit took part in the Recommender Systems Summer School in Copenhagen. During this Summer School, academics and industry leaders lectured on the practice, research, and state of the art in recommender systems. The lectures covered a broad range of topics from an algorithmic as well as a methodological perspective, including hands-on sessions. This week brought many interesting insights for our strategic research program on recommender systems and this short report highlights some of the key takeaways. Not an algorithm, but a system Recommender systems encompass more than just the algorithm itself. They require the thoughtful implementation of (a combination of several) algorithms that align with specific domain objectives, account for optimal user experience in different contexts, and seek to create mutual value for various stakeholders It is crucial to recognize that there is no one-size-fits-all approach to recommender systems. The strategy employed must be tailored to the specific domain in which the system operates, considering the unique objectives, economic factors, values and challenges inherent to that domain. For instance, in the realm of news, evaluating the system's quality necessitates considerations such as diversity and serendipity, speed and coverage. The recommender system design must consider the overall user experience. This involves understanding the various features and styles influencing users’ interaction with the platform, as well as analyzing the user journey and recognizing the impact of contextual dependencies on their preferences and needs. In both academic literature and practical applications, the primary goal of recommendation systems is to create value. This entails a reciprocal relationship between user values and business values. By addressing user needs and providing quality personalized recommendations that go beyond mere accuracy the system increases short-term engagement. Furthermore, these systems aim to cultivate long-term loyalty and build strong relationships with the target audience. In summary, well-designed recommendation systems enhance user engagement by offering personalized recommendations, optimizing the user experience, reducing information overload, fostering serendipitous discovery, continuously learning and improving, integrating social features, and thereby generate added value for business through increased user satisfaction, retention, and potential revenue growth. End of the artificial clean cut between content? Media mergers are changing the industry. One of the many examples is how RTL XL will become a part of Videoland. The question rises how the video-on demand platforms can blend different content types such as movies, series, TV programs, short clips and livestreams in an appealing way. An answer to that question could be answered by formulating the optimal user experience through recommender systems. Currently, the company is analyzing user behaviour in order to develop models that can be used in online user experiments. A next step will be to start A-B testing to create the optimal recommendation model. The goal of VOD platforms is to have loyal visitors, but it is a metric that moves very slowly. Currently, the recommendation system of the RTL is built up on three different types of recommendations: content-based, popular within the genre and collaborative filtering. Interesting fact: Personalized swimming lanes compared to editorials swimming lanes generate 30 min more viewing time per active user per month. The main goal of “this recommender optimizing project” is to work towards continuous loops. Sequential recommender systems are different in that sense that they convert user’s behavior trajectory into recommended items or services. It takes into account the current and recent preferences of a user for a more accurate recommendations. Implementing this new form of recommender system will be one of the key factors to generate a user interface with “blended content” that answers the customer’s needs. A critical stance in the evaluation of recommenders Being grounded in dominantly quantitative forms of assessment, recommender system evaluation needs to pay sufficient attention to real-world significance of numerical results and to whether outcomes actually make sense in applied cases. For instance, is an overall increase in prediction accuracy of a recommendation an accomplishment when large parts of the user base still receive bad recommendations and their preferences remain ill-defined? A call for qualitative sense-making of quantitative evaluation outcomes was certainly made at the Summer School. Also, research papers that seek to evaluate recommender systems often focus more on (incremental) increases in performance percentages than on a solid basis for their actual evaluation. In terms of relevance for the academic field, consequently, little contributions are made. Papers that are characterised by vagueness and technical complexity thus prevent real progress and cannot form the basis for further research. The lack of valuable longitudinal research in the domain of recommender systems can also be related to this. Lastly, by acknowledging that recommender systems impact not only the intended end-user and that their complex nature implies influences also on those not directly involved, we argue that multiple-stakeholder considerations should be the norm. We realize that the inherent complexity of recommender systems makes this a difficult endeavour. But in our attempts to evade the McNamara fallacy and to research in the most holistic way possible, the aim should always be to keep a multi-stakeholder involvement top-of-mind. Not solely in phases of design or evaluation, but as a constant reflective thought from the outset and throughout. Previous Next

< Back AI Summer School 2025 21 Jul 2025 Aina's recap of the AI Summer School at KU Leuven Aina Errando started the summer of 2025 with the AI Summer School at KU Leuven , organised by the Centre for IT & IP Law (CiTiP). As a PhD researcher within the ALGEPI project, she was selected to join the 5th edition of this summer school. The programme brought together an interdisciplinary and international cohort of researchers, legal scholars, and professionals to explore some of the most pressing regulatory and ethical challenges in the field of artificial intelligence (AI). Over two intensive weeks , participants engaged with a broad spectrum of topics, including: The EU AI Act, Digital Services Act (DSA), and Digital Markets Act (DMA) The Council of Europe’s Framework Convention on AI, Human Rights, Democracy and the Rule of Law The OECD AI Principles and UNESCO’s Recommendation on the Ethics of AI Critical discussions on AI auditing, transparency, fairness, and accountability The sessions were led by renowned scholars and practitioners , and their contributions created an intellectually rich and challenging environment that encouraged participants to critically reflect on the intersections between law, ethics, and AI innovation . During the programme, Aina had the opportunity to present her work-in-progress titled “Regulating the News(rooms): Between AI Policies and Editorial Realities in Europe” , developed as part of the ALGEPI project . Furthermore, one of the programme’s highlights was a gamified group challenge , where participants were assigned roles in a fictional regulatory debate. Aina and her team were tasked with unconditionally defending regulatory sandboxes under the AI Act. The AI Summer School came at a particularly relevant time, as institutions across Europe are working on implementing the AI Act, as well as other digital regulations and policies. The programme offered an opportunity to gain practical insights into how regulation is interpreted, contested, and applied across different sectors and jurisdictions. Together with other summer school attendees, Aina wrote a blog post on the AI regulatory Sandboxes established under the EU AI Act. Would you like to know more about it? Have a look at https://www.law.kuleuven.be/ai-summer-school/blogpost/ai-sandboxes-between-promises-and-perils/view Previous Next

< Back Our work-in-progress at DBWRS 2023 18 Dec 2023 Explore our work-in-progress presentations at DBWRS2023 Last week our team attended the first edition of the Dutch-Belgian Workshop on Recommender Systems. DBWRS 2023 proved to be a dynamic event for the exchange of ideas, insights, and ongoing research. Among the highlights were the six compelling work-in-progress posters presented by our researchers. In this blog post, we are excited to share a glimpse into these projects, providing a brief overview of the groundbreaking work our team is currently undertaking. 1. What Will We Be Streaming Tonight? And Why? This project delves into the fascinating world of streaming preferences. The Living Lab project explores the affordances that influence users' choices in content consumption. From binge-worthy series to thought-provoking documentaries, we're unraveling the intricate tapestry of streaming behaviors. 2. Newsroom Realities: An Exploration of Changing Dynamics in News Organizations in Relation to Recommender Systems In a rapidly evolving media landscape, Hanne's PhD-journey investigates the impact of implementing recommender systems on newsroom dynamics. How do different stakeholders wihtin news organizations look at the potential opportunities and risks of recommendations and personalization? 3. Assessing the Potential of Large Language Models for Personalized Explainable Recommendations in Media Large language models have revolutionized natural language processing. In his PhD, Ulysse will explore their potential for personalized and explainable recommendations in the media domain. Uncover the methodologies and insights that pave the way for a more transparent and user-centric recommender system. 4. Intention and Behavior: A Systematic Review of Literature on Users Preferences in Recommendation Systems Understanding users is at the heart of designing effective recommendation systems. Through an systematic literature review, Dongxiao sheds light on the intricate interplay between user intentions and actual behavior. 5. Discovering the Rhythm: The Impact of Online Platform Recommender Systems on Music Discoverability Music is a universal language, and our researchers in the FairMuse project are exploring how online platform recommender systems influence the discoverability of music. From algorithmic playlists to tailored suggestions, we're uncovering the rhythm that shapes users' musical exploration. 6. Gatekeeping in the Digital Age: Newsroom Resistance to News Personalization As news personalization becomes more prevalent, Aina investigates the resistance to recommender systems in newsrooms in Spain as a part of the Algepi-project . These work-in-progress posters showcase the diversity and depth of ongoing research of the SRP Media team. Together, we navigate the ever-changing landscape of recommender systems, digital platforms and streaming services. Previous Next

< Back #Etmaal2025 4 Feb 2025 Hanne looking back on her presentation on Stakeholder Alignment for News Recommender System (NRS) Implementation After a great first day of interesting sessions, good talks and a fun party, it was my turn to present some findings at Etmaal van de Communicatiewetenschap . This annual conference unites communication scholars from Belgium and the Netherlands and the 2025 edition took place in the beautiful city of Bruges. I could write pages about the picturesque setting and the striking juxtaposition of the historic nature of this city and the innovative, future-oriented discussions we had there. However, let’s get to the point: My presentation on the adoption of news recommender systems (NRS) by legacy, commercial news publishers in Belgium and the Netherlands, and the multi-stakeholder complexities that influence this process. Why Is the Adoption of News Recommender Systems Lagging Behind? While academic research has advanced significantly in the domain of news recommenders and personalization, the practical implementation of NRS in legacy news organizations remains limited. There exists a significant gap between the assumed widespread integration of recommendation algorithms and the reality of their adoption in established news platforms. My research suggests that a key reason for this disconnect lies in the intricate, multi-stakeholder environment in which NRS are designes and implemented . The Multi-Stakeholder Challenge Within news organizations, multiple actors with distinct institutional logics shape the adoption process. Three dominant logics are at play: The journalistic logic , which prioritizes editorial independence, public service, and the integrity and diversity of news content. The commercial logic , focused on revenue generation and return on investment. The tech logic , driven by algorithmic efficiency, and optimization of the NRS functionalities. These different stakeholder interestes and values create tensions and trade-offs : How do news organizations balance algorithmic curation with journalistic gut-feeling for selection and prioritization of news content? How can they ensure that business interests do not overshadow editorial considerations? And how can resources be allocated effectively to maximize the potential of NRS without undermining traditional newsroom workflows? My research highlights the crucial role of the Product Owner (PO) in navigating these tensions. Rather than a single PO mediating in between, all actors, we observe a network of multiple POs , each acting as an “interpreter” or “translator” for the institutional logic they represent. These POs play a vital role in facilitating communication, aligning perspectives, and crafting a strategic roadmap for NRS adoption. Presentation Slide: The complex multi-stakeholder environment with multiple PO's at the center. Two Key Stakeholder Alignment Strategies To ensure smoother adoption of NRS, POs employ two crucial stakeholder alignment strategies: Knowledge Management Strategy The POs facilitate communication between the newsroom, business unit, and tech teams, ensuring knowledge sharing and developing a common understanding. They use educational tools such as “dummy-proof” presentations and explainer videos to foster a shared understanding, mitigating misunderstandings and increase stakeholder buy-in. Showcase Success Strategy To demonstrate the value of NRS, POs present performance metrics through dashboards. However, simply displaying data is not enough. We underscore the importance of literacy within newsrooms as without a good understanding of data insights and the foundational skills to interpret dashboards, stakeholders cannot meaningfully engage with performance metrics or make informed strategic decisions. Presentation Slide: Two Stakeholder Alignment Strategies Moving Forward: A Call for Media Management Studies While advancements from computational sciences and normative narratives in journalism studies are exploring the possibilities of news personalization, media management perspectives remain underexplored. My presentation at Etmaal highlights the need for further studies that bridge the gap between theoretical research and practical implementations. The discussions and feedback I received at Etmaal reaffirmed the relevance of this research, and I look forward to continuing this conversation in future collaborations. For those interested in the role of recommender systems in news media, let’s get in touch! Previous Next

< Back Join us at DBWRS 2023 15 Aug 2023 Get inspired at the first Dutch-Belgian Workshop on Recommender Systems Get ready for the first Dutch-Belgian Workshop on Recommender Systems (DBWRS)! On 14 and 15 December 2023, researchers and practitioners gather in the beautiful city of Antwerp for a two-day workshop to to explore and discuss the latest advancements, challenges, and opportunities in the field of recommender systems. DBWRS is a collaborative event bridging diverse field such as computer science, data science, artificial intelligence, psychology, communication, and more! Together we spark innovative and interdisciplanary approaches that enhance user experiences, empower perzonalization and contribute to the growing field of recomemnder systems. We invite you to join us at DBWRS 2023! Share your insights, connect with other researchers and practitioners and get inspired by experts. See you in Antwerp on 14 & 15 December 2023. www.dbwrs23.be Previous Next

< Back Webinar: Streaming in Vlaanderen 1 Oct 2024 Ontdek alle trends en inzichten in ons webinar! Benieuwd naar hoe Vlamingen hun favoriete content streamen? Sluit op 31 oktober aan bij het 1e proeftuin webinar! We introduceren de eerste inzichten uit ons project 'Streaming Affordances voor kleine mediamarkten', ondersteund door VLAIO en de Vlaamse Minister van Media. Tijdens het webinar krijg je een diepgaand overzicht van: De voorkeuren en motivaties van Vlaamse streamers Hoe technologie, context en content hun kijkgedrag beïnvloeden De resultaten van interviews, dagboekonderzoeken en een grootschalige survey Mis deze kans niet om waardevolle inzichten op te doen over de snel veranderende wereld van streaming. Schrijf je vandaag nog in en ontdek hoe de Vlaming met media omgaat! Details: 📆 Datum: 31 oktober 2024 🕚 Tijd: 11u-12u 💻 Online Meld je aan voor deze webinar via onderstaande link: Registreren Previous Next