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- Revisioning Public Interest Media | Srpmedia
< Back Revisioning Public Interest Media RePIM Revisioning Public Interest Media is a four-year Marie Skłodowska-Curie (MSCA) Doctoral Network dedicated to reimagining the role and future of public interest media in a data-driven, platform-dominated environment. RePIM brings together leading European universities, industry partners, and 12 Doctoral Candidates in an interdisciplinary, cross-sectoral training and research programme. The network investigates how public interest media can remain relevant, sustainable, and impactful by transforming how content is produced, packaged, distributed, and supported organisationally and technologically. Through its focus on strategic innovation, organisational change, and media management, RePIM equips its doctoral researchers with advanced analytical and managerial skills to help reshape public interest media across diverse European contexts. Radical market and societal changes challenge existing business models of public interest media, the content they create, the technical infrastructures they employ for distribution, and the governing structures which regulate and support them. The research and trained Doctoral Candidates (DCs) set out to revise the relevance of public interest media, the conditions required to sustain relevance and the ways in which they are produced, packaged, distributed, and the (infra)structures that support them. RePIM does this through a highly ambitious and advanced focus on key strategic transformations across departments, media players and different European contexts, and the managerial skills required to reconfigure public interest media in a radically changed media ecosystem. Researchers on this project Catalina Iordache Guest Professor Wendy Van den Broeck Associate professor Tim Raats Associate Professor Consortium partners VUB logo.png Schermafbeelding 2026-08-06 om 10.33_edited.png Schermafbeelding 2026-08-06 om 10.58.30.png VUB logo.png 1/8 Tags Platforms, Public Service Broadcasting Previous Next
- Interface real estate: Amazon Prime and visibility politics | Srpmedia
< Back 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 This paper investigates how Amazon Prime Video’s interface design affects content visibility, specifically analysing the prioritisation of Prime-included versus third-party content. Using the Vignette tool on French accounts, we conducted a mixed-methods analysis of homepage structures, including row hierarchies and title heatmaps across multiple user profiles. We find that while Prime Video shares common strategies with other services (e.g. own content prioritisation and burying the continue watching button), it distinguishes itself with a uniquely dense landing page layout featuring a large number of thumbnails and content rows. This design reveals deeper commercial logics shaped by Amazon’s integrated retail model. Previous Read the article Next
- Webinar: Streaming in Vlaanderen | Srpmedia
< Back 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 Webinar: Streaming in Vlaanderen
- You Might Also (Not) Like … : Newsroom Wariness to News Personalisation? | Srpmedia
< Back You Might Also (Not) Like … : Newsroom Wariness to News Personalisation? Errando, A., Afilipoaie, A., & Ranaivoson, H. (2026). You Might Also (Not) Like … : Newsroom Wariness to News Personalisation? Journalism Practice , 1–20. https://doi.org/10.1080/17512786.2026.2682271 News personalisation has become essential in the dynamic news media landscape, leveraging algorithms and user data to curate personalised news feeds. However, the motivations for its (non) adoption in news media organisations and the challenges of aligning technological capabilities with journalistic values remain underreported in the literature. Furthermore, existing work has predominantly focused on technical optimisation of NRS, leaving organisational motivations behind the limited use of personalised news recommender systems (NRS) comparatively underexplored, especially in Southern European media systems. Based on sixteen semi-structured expert interviews with journalists, editors, managers, and data and IT specialists in Spanish generalist news media organisations, the findings show a cautious approach to adopting NRS. Alongside tensions between editorial and technological departments, the results reveal wariness in implementing NRS, with professionals desiring human curation and oversight to ensure that news content meets standards aligned with their editorial values. The study confirms the existence of “tech-editorial gaps” and highlights the practical importance of bridging roles. We illustrate how commercial, organisational, and value-related considerations jointly shape the decision-making process, contributing empirical evidence from a media system where personalisation is at the early stages of deployment. Platforms, Newsmedia, Recommender Systems Previous Read the article Next
- Join ALGEPI's workshop on Epistemic Welfare! | Srpmedia
< Back 21 Mar 2024 What are the conditions under which the use of algorithms can contribute to, or threaten, epistemic welfare? “Epistemic Welfare“ stands as a cornerstone concept for understanding how individuals and groups interact with knowledge in today’s digital society. How do we define it? What is the conceptual and methodological framework for the concept? ALGEPI is organising its first annual workshop on the 12th of April 2024 from 10:00h to 13:00h CET to discuss what are the conditions under which the use of algorithms can contribute to, or threaten, epistemic welfare and how can we translate this into actionable parameters or metrics. Join us in the discussion! 🕙 Time: 10:00h to 13:00h CET. 🗓️ Date: 12th of April 2024 📍 Venue: Collegium Veteranorum (109-20) – Sint-Michielsstraat 2-4 , 3000 Leuven ( 02.10 – MGR. O. ROMEROZAAL ). Are you planning to attend? Places are limited and will be allocated on a first come first served basis so please let us know by sending us an email ! Registrations will close on the 5th April 2024. In the meantime, if you would like to learn more, have a look at our concept note dissecting the concept of epistemic welfare ! ➡︎ Read the full programme here . Previous Next Join ALGEPI's workshop on Epistemic Welfare!
- Serendipity Cards | Srpmedia
< Back 1 Jul 2026 Want to design for serendipity? Get this practical card set! The Serendipity Cards translate the idea of designing for serendipity into an accessible tool for workshops, reflection, and ideation. They help teams explore how people might unexpectedly discover ideas, information, people, or opportunities. The cards are rooted in research on affordances for serendipity : the idea that you cannot force serendipity, but you can design environments that make it more likely to happen. Learn more ⏩️ https://www.serendipityengine.be/resources/cards Previous Next Serendipity Cards
- Towards a Pragmatic Approach for studying Normative Recommender Systems | Srpmedia
< Back Towards a Pragmatic Approach for studying Normative Recommender Systems Binst, B., Vandenbroucke, H., Li, D., Puskas, I., Van der Elst, P., & Smets, A. (Accepted/In press). Towards a Pragmatic Approach for studying Normative Recommender Systems: Exploring Power Dynamics in Digital Platform Markets. In Proceedings of the the First Workshop on Normative Design and Evaluation of Recommender Systems . Recommender systems (RSs) have become an integral part of digital platforms, helping users to navigate through the abundance of online content and services. This paper argues that the study of normative RSs should go beyond the mere conceptualization of normativity and examine the conditions and contextual factors that might foster normative RSs. RSs often operate within multisided markets, involving multiple stakeholders who influence and are influenced by the RS. Ideally, developers of RSs aim for value alignment among diverse stakeholders, fostering a win-win scenario. However, in practice, system providers hold more power over the design, often optimizing for their own objectives and neglecting the needs and values of other stakeholders. These imbalanced power dynamics in digital platform markets pose significant challenges to the design. This paper critically examines two key economic dynamics in digital media markets that challenge the development of normative RSs. The first hurdle describes the susceptibility of digital platform markets to lock-in and monopolization due to network effects, which skews the power balance in favor system. A second hurdle critically examines the pervasive \"attention economy\" and corresponding engagement-centric logic in the design of RSs that might diverge from explicit or long-term users' preferences despite the success in increasing engagement. To illustrate the importance of these dynamics in real-world RSs, we present how these hurdles manifest in the domains of video-on-demand and news media. In conclusion, this paper advocates for a more pragmatic approach to studying normative RSs by considering the two hurdles affecting the RS development in contemporary digital platform markets. Furthermore, it highlights the fruitfulness of this pragmatic approach by proposing policy recommendations to tackle normative challenges in RSs’ design. Recommender Systems Previous Read the article Next
- Our work-in-progress at DBWRS 2023 | Srpmedia
< Back 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 Our work-in-progress at DBWRS 2023
- Join us at DBWRS 2023 | Srpmedia
< Back 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 Join us at DBWRS 2023
- AI Summer School 2025 | Srpmedia
< Back 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 AI Summer School 2025
- Ulysse Maes | Srpmedia
< Back Ulysse Maes PhD Researcher ulysse.jan.l.maes@vub.be Ulysse joined SMIT in September 2023 as a PhD researcher. His focus is on comprehending the multifaceted challenges and opportunities presented by the evolving landscape of AI, particularly in news and video recommender systems. He holds a master’s degree in Business and Information Systems Engineering, where he graduated magna cum laude. His academic pursuits took him to SKEMA Business School in Antibes, where, during an Erasmus exchange, he deepened his knowledge on entrepreneurship in an international setting. Notably, his master’s thesis was dedicated to the development of a user-oriented chatbot enhancing DMN execution. This was followed by his successful completion of a Postgraduate Degree in Tech Innovations in Ventures and Teams. During that year, he co-founded Amodamo , a platform endorsing responsible fashion, and established Scribewave , an online transcription service specialised in converting speech-to-text in local languages. Visit my research profile
- Brett Binst | Srpmedia
< Back Brett Binst PhD Researcher brett.binst@vub.be Brett Binst currently works on the ‘Serendipity Engine’ project as a PhD student. In this project, he studies serendipity in urban recommender systems. More specifically, he studies why system providers would design for serendipity, how they can design for it (through an affordances perspective) and the experience of serendipity in users of these urban recommender systems. Brett Binst acquired a Bachelor of science in Psychology at the VUB in 2020. Next, he completed his Master’s degree in Sociology in 2022. His masterthesis was a study into the preconditions and inequality of having an opinion about AI, inspired on Bourdieu’s theoretical framework laid out in La Distinction. Before starting on the Serendipity Engine project, he worked on the Barometer project, on behalf of the Koning Boudewijn Foundation in which he mainly performed quantitative analyses, comparing the labour market situation of migrants and natives. Visit my research profile
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