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< Back 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/ This article advocates for a “close contact for context” approach as a crucial step before, or in combination with, automated data collection and comparative analyses to assess the prominence and discoverability of European works in video-on-demand (VoD) catalogs. Grounded in media industries research, the method emphasizes the importance of close observation within the dynamic interface environments of VoD services. To this end, we present a set of reflections based on an exploratory study conducted on four US-based subscription VoD services in Spain and Belgium and propose three key sets of methodological considerations to be integrated in future assessments of prominence and discoverability tools and practices. First, a broader analysis of market characteristics and their interrelations is essential for conducting comparative research and understanding the strategies of transnational players within each market. Second, VoD services must be treated as individual cases shaped by specific industry practices and business models. Third, we recommend “getting personal” with the object of study through detailed analyses of interface architectures and consumption affordances, and propose the concept of a title’s discovery arc to analyze its spatiotemporal placement. This approach underscores the value of contextual, qualitative insights to complement quantitative evaluations. Previous Read the article Next

< Back Adelaida Afilipoaie Postdoctoral Researcher adelaida.afilipoaie@vub.be I am a senior researcher in the field of media policy, with an affinity for electronic communications networks and services, and online platforms. I am part of the Brussels-based imec-SMIT, Vrije Universiteit Brussel research group, more specifically part of the Media Economics and Policy Unit. In 2016 I graduated from my BA. in Media Studies and Television in the United Kingdom. After gaining theoretical knowledge and hands-on production experience in the media industry, I decided to pursue a MSc. in Communication Studies at the VUB in Brussels from which I graduated in 2018. Right after graduating I started working at imec-SMIT, Vrije Universiteit Brussel, where, by combining economic platform theories and media policy research, I conducted my PhD on the regulatory frameworks at the EU and Member States level, and their ability to address the online platform power concerns, which I finalized in 2023. Currently, I am conducting postdoctoral research for several projects (Fair MusE, ALGEPI and GMICP). Considering the domination of online platforms and their algorithms, these projects tackle the various concerns of the European music ecosystem, the impact of algorithmic gatekeepers on individuals’ epistemic welfare and the media markets concentration trends. When I am not involved in research, I am a guest lecturer for the Digital Media in Europe Master’s programme at the VUB and I act as a master’s thesis supervisor. During my time as a PhD candidate, I acted as a Teaching Assistant for the MSc. course European Media Markets and facilitated several workshops part of the now discontinued Postgraduate in Media Economics programme at the VUB (2018-2020). I have experience with European projects as I was a contributor to the SMART 2018/0066 study on the implementation of the new provisions in the revised Audiovisual Media Services Directive (AVMSD) and CNECT/2020/OP/0099 study on the Media Plurality and Diversity Online, both funded by the European Commission’s DG CNECT. Visit my research profile

< Back It’s (Not) All About That CTR: a Multi-Stakeholder Perspective on News Recommender Metrics Vandenbroucke, H., & Smets, A. (2024). It’s (Not) All About That CTR: a Multi-Stakeholder Perspective on News Recommender Metrics. In Proceedings of the 18th ACM Conference on Recommender Systems. Recommender systems are increasingly used by news media organizations. Existing literature examines various aspects of news recommender systems (NRS) from a computational, user-centric, or normative perspective. Yet research advocates studying the complexities of real-world applications around NRS. Recently, a multi-stakeholder approach to NRS has been adopted, allowing to understand different stakeholder perspectives on NRS development and evaluation within the news organization. However, little research has been done on the different key performance indicators (KPIs) and metrics considered valuable by different stakeholders. Based on 11 interviews with professionals from two commercial news publishers, this paper demonstrates that stakeholders prioritize distinct KPIs and metrics related to the reach-engagement-conversion-retention funnel. The evaluation of NRS performance is often limited to short-term metrics like CTR, overlooking the multiplicity of stakeholders involved. Our findings reveal how different purposes, KPIs, and metrics are valued from the journalistic, commercial, and tech logic. In doing so, this paper contributes to the multi-stakeholder approach to NRS, advancing our understanding of the real-world complexity of NRS development and evaluation. Recommender Systems, Newsmedia Previous Read the article Next

< Back Elevating Customer Value of media recommendations through Enhanced User Satisfaction and Development Media recommender systems often fall short by prioritizing behavioral data over user perception and experience, resulting in a disconnect between user preferences and actual consumption. The intricacy of multi-dimensional user preferences poses a challenge, compounded by an intention-behavior gap in high-quality media consumption. Unintentional content consumption can be exacerbated by recommendations geared towards engagement or revenue goals, potentially leading to misguided outcomes. Consequently, there is a critical need to refine recommender system designs from a user-centric perspective, accounting for nuanced preferences and intrinsic needs. This project takes a user-centric approach, delving into the role of media recommender systems in aligning user needs, preferences, and consumption. The overarching aim is to cultivate the generation of healthier, more beneficial recommendations, ultimately enriching user satisfaction and overall development. Researchers on this project Dongxiao Li PhD Researcher Consortium partners China Scholarship Council China Scholarship Council 1/1 Tags Recommenders, User studies Previous Next

< 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

< 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 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

< Back The RecSys Conference 2024 8 Oct 2024 Our contributions to the 18th ACM Conference on Recommender Systems From 14 until 18 October 2024, the 18th ACM Conference on Recommender Systems takes place in Bari, Italy. Our SRP Media researchers have various contributions to this conference, as well as the preceding ACM Europe School on Recommender Systems . ACM Europe School on Recommender Systems 2024 During the ACM Europe School on Recommender Systems, leaders in the field give lectures on the practice, research, and state of the art in Recommender Systems. This year, there will be 120 attendees among which 90 students. Click here for the full program . On Tuesday 8 Octobe r, Lien Michiels will teach a lecture on Best Practices for Offline Evaluation . On Friday 11 October, Annelien Smets lectures a course on Digital Economics and Recommender Systems . The ACM Europe School on Recommender Syste ms is organized by Ludovico Boratto (University of Cagliari, Italy) , Cataldo Musto (University of Bari, Italy) , and Fedelucio Narducci (Polytechnic University of Bari, Italy) . How to Evaluate Serendipity in Recommender Systems: the Need for a Serendiptionnaire During the Doctoral Symposium , Brett Binst will present his work from the Serendipity Engine project. Recommender systems can assist in various user tasks and serve diverse values, including exploring the item space. Serendipity has recently received considerable attention, often seen as a way to broaden users’ tastes and counteract filter bubbles. However, the field of research on serendipity is fragmented regarding its evaluation methods, which impedes the progress of knowledge accumulation. This research plan proposes two studies to address these issues. First, a systematic literature review will be conducted to provide insights into how serendipity is currently studied in the field. This review will serve as a reference for novice researchers and help mitigate fragmentation by presenting a thorough overview of the field. This systematic literature review has already revealed a significant gap: the lack of a validated, widely accepted method for evaluating serendipity. Therefore, the second part of this research plan is to develop a validated questionnaire, the serendiptionnaire, to measure serendipity. This tool will provide a ground truth for evaluating serendipity, aiding in answering fundamental questions within the field and validating offline metrics. GenUI(ne) CRS: UI Elements and Retrieval-Augmented Generation in Conversational Recommender Systems with LLMs [demo] During the poster session on Tuesday, Ulysse Maes will present joint work with Lien Michiels and Annelien Smets . Previous research has used Large Language Models (LLMs) to develop personalized Conversational Recommender Systems (CRS) with text-based user interfaces (UIs). However, the potential of LLMs to generate interactive graphical elements that enhance user experience remains largely unexplored. To address this gap, we introduce “GenUI(ne) CRS,” a novel framework designed to leverage LLMs for adaptive and interactive UIs. Our framework supports domain-specific graphical elements such as buttons and cards, in addition to text-based inputs. It also addresses the common LLM issue of outdated knowledge, known as the “knowledge cut-off,” by implementing Retrieval-Augmented Generation (RAG). To illustrate its potential, we developed a prototype movie CRS. This work demonstrates the feasibility of LLM-powered interactive UIs and paves the way for future CRS research, including user experience validation, transparent explanations, and addressing LLM biases. It’s (not) all about that CTR: A Multi-Stakeholder Perspective on News Recommender Metrics During the poster session on Thursday, Hanne Vandenbroucke will present joint work with Annelien Smets . Recommender systems are increasingly used by news media organizations. Existing literature examines various aspects of news recommender systems (NRS) from a computational, user-centric, or normative perspective. Yet research advocates studying the complexities of real-world applications around NRS. Recently, a multi-stakeholder approach to NRS has been adopted, allowing to understand different stakeholder perspectives on NRS development and evaluation within the news organization. However, little research has been done on the different key performance indicators (KPIs) and metrics considered valuable by different stakeholders. Based on 11 interviews with professionals from two commercial news publishers, this paper demonstrates that stakeholders prioritize distinct KPIs and metrics related to the reach-engagement-conversion-retention funnel. The evaluation of NRS performance is often limited to short-term metrics like CTR, overlooking the multiplicity of stakeholders involved. Our findings reveal how different purposes, KPIs, and metrics are valued from the journalistic, commercial, and tech logic. In doing so, this paper contributes to the multi-stakeholder approach to NRS, advancing our understanding of the real-world complexity of NRS development and evaluation. Navigating Discoverability in the Digital Era: a Theoretical Framework During the MuRS: Music Recommender Systems Workshop 2024 , Rebecca Salganik will present joint work with Valdy Wiratama , Heritiana Ranaivoson and Adelaida Afilipoaie (FairMuse). The proliferation of digital technologies in the distribution of digital content has prompted concerns about the effects on cultural diversity in the digital era. The concept of discoverability has been presented as a theoretical tool through which to consider the likelihood that content will be interacted with. The multifaceted nature of this broad theme has been explored through a variety of domains that explore the ripple effects of platformization, each with its own unique lexicography. However, there is yet to be a unified framework through which to consider the complex pathways of discovery. In this work we present the discovery ecosystem, consisting of six individual, interconnected components, that encompass the pathway of discovery from start to finish. Workshop on Normative Design and Evaluation of Recommender Systems (NORMalize) On October 18, Lien Michiels is co-organizing t he Second Workshop on Normative Design and Evaluation of Recommender Systems. Previous Next

< Back 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 Designing for serendipity in information technologies presents significant challenges for both scholars and practitioners. This paper presents a theoretical model of serendipity that aims to address this challenge by providing a structured framework for understanding and designing for serendipity. The model delineates between intended, afforded, and experienced serendipity, recognizing the role of design intents and the subjective nature of experiencing serendipity. Central to the model is the recognition that there is no single definition nor a unique operationalization of serendipity, emphasizing the need for a nuanced approach to its conceptualization and design. By delineating between the intentions of designers, the characteristics of the system, and the experiences of end-users, the model offers a pathway to resolve the paradox of artificial serendipity and provides actionable guidelines to design for serendipity in information technologies. However, it also emphasizes the importance of establishing ‘guardrails’ to guide the design process and mitigate potential negative unintended consequences. The model aims to lay ground to advance both research and the practice of designing for serendipity, leading to more ethical and effective design practices. Previous Read the article 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 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

< Back New Policy Brief: Streaming Public Service Television in the Age of Platforms 27 Jan 2025 Evaluating Public Service Media (PSM) in-house video-on-demand (VoD) services Public service media (PSM) all over the world have consistently been subject to social and technological changes . These include radical changes in media use, the advent of streaming services , and the dominance of big tech. The new competitors for the attention of citizens have challenged PSM both as an institution and as organisations. The profound changes in the media landscape have affected the broadcasters themselves, requiring them to transform into fully digital, online-first organisations . In this context, we present results from research conducted during the second year of PSM-AP , a large-scale comparative research project analysing ‘Public Service Media in the Age of Platforms’. In this policy brief , we put forward a series of findings and recommendations on PSM publishing and personalisation practices based on analysis of the PSM in-house video-on-demand (VoD) services and main linear channels in the Belgian market , alongside insights from our wider analysis that includes Canada, Denmark, Italy, Poland, and the UK. Visit the webpage: https://smit.research.vub.be/en/policy-brief-82-streaming-public-service-television-in-the-age-of-platforms Streaming_public_service_television_in_the_age_of_platforms .pdf Download PDF • 725KB https://doi.org/10.48785/100/301 Previous Next