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- Tim Raats | Srpmedia
< Back Tim Raats Associate Professor tim.raats@vub.be Most of us have grown up with public service broadcasting and linear television as the focal point for news, entertainment and TV drama. While television and public broadcasting still exist today, and still take up crucial positions in the European media landscape, the entire audio-visual constellation has – and is – changing at a rapid pace. My research interests lie on the crossroads of these changes and continuities. In my work, I combine policy research, production studies and media economics to analyse shifts in small audio-visual ecosystems. My expertise areas are public broadcasting policies and strategies on the on the one hand, (with specific attention for public broadcasting partnerships) and the sustainability of television industries in small markets, where I specialized in financing and production of TV drama. I currently lecture various media policy courses (political economy of the creative industries, media policy, EU Media Policy) at the Communication Studies Department of the Vrije Universiteit Brussel. I obtained a PhD in 2014 on the role and position of public service media in a networked society. As a senior researcher at imec-SMIT, I have been involved in contract research for various stakeholders (including VRT, the Flemish Sector Council), either as researcher, lead researcher or supervisor. Recent projects I was involved in include MeCETES (2014-2016) which analysed patterns of film and TV distribution in Europe, a 2016 stakeholder evaluation of the Flemish Game Fund, and a study examining the effectiveness of support mechanisms for television in Flanders (2016-2017) (in collaboration with Econopolis). Visit my research profile
- Adelaida Afilipoaie | Srpmedia
< 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
- Annelien Smets | Srpmedia
< Back Annelien Smets Research Professor Annelien.Smets@vub.be Annelien is a senior researcher at SMIT in the Media Economics and Policy unit. Her research centers around personalization and recommender systems, and their value in media markets. Annelien holds a PhD in Media and Communication Studies (VUB) on the topic of serendipity in recommender systems and smart cities. She holds a master’s degree in Information Management (2016) and Artificial Intelligence (2017) from KU Leuven. Currently, Annelien is Research Professor at Vrije Universiteit Brussel, where she teaches courses on media economics, digital economics, digital business models, and digital innovation management. She is also co-chair of the Serendipity Academic Researchers Network, part of the Serendipity Society. Visit my research profile
- Our work-in-progress at DBWRS 2023 | Srpmedia
< 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
- Elevating Customer Value of media recommendations through Enhanced User Satisfaction and Development | Srpmedia
< 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
- Not One News Recommender To Fit Them All: How Different Recommender Strategies Serve Various User Segments | Srpmedia
< Back 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. Many news recommender systems (NRS) adopt a one-recommender-for-all approach, overlooking that users engage with news in fundamentally different ways. In this work, we identify user clusters based on various engagement metrics that go beyond clicks by employing cluster analysis on two real-world datasets: EB-NeRD and Adressa. Next to that, we evaluate the performance of common rec-ommender strategies: popularity, collaborative filtering (EASE and ItemKNN), and a content-based model across these user clusters, which exhibit varying reading behaviors and information needs. Our findings show that different recommender strategies are effective to varying degrees depending on the user cluster. This study contributes to NRS research by providing a grounded clustering of users derived from real-world datasets and emphasizes the importance of user-centered evaluations for understanding how NRS strategies serve audiences with varying levels of news engagement. Recommender Systems Previous Read the article Next
- Platforms and Exposure Diversity: Towards a Framework to Assess Policies to Promote Exposure Diversity | Srpmedia
< Back Platforms and Exposure Diversity: Towards a Framework to Assess Policies to Promote Exposure Diversity Ranaivoson, H. R., & Domazetovikj, N. (2023). Platforms and Exposure Diversity: Towards a Framework to Assess Policies to Promote Exposure Diversity. Media and Communication , 11 (2), 379-391. https://doi.org/10.17645/mac.v11i2.6401 The fragmentation of consumption and algorithms’ increasing impact on how content is recommended and displayed makes it even more important to analyse and promote exposure diversity, i.e., the extent to which audiences are exposed to, discover, and engage with diverse content. Although there is a growing literature addressing how to define media diversity in the context of the challenges posed by platformisation, this article translates the normative dimensions into a framework for operationalising exposure diversity into a tangible policy goal, taking into account datafication and its consequences in terms of increasing data requirements towards platforms. The main objective of this study is to analyse initiatives to assess exposure diversity in the platform era and to discuss how such assessment could be improved, particu‐ larly for policy initiatives. This involves addressing several challenges of existing approaches for the assessment of exposure diversity related to defining an appropriate frame of reference, determining the degree of diversity required, dealing with data transparency issues, and promoting user autonomy. To achieve this, we propose a framework for analysing initiatives aimed at assessing and promoting exposure to media diversity. Our framework is composed of four key features: measures (type of initiative), metrics (quantifying exposure diversity), data collection methods, and data requirements. We apply this framework to a set of 13 initiatives and find that policy initiatives can benefit from adopting metrics based on distances and experimenting with data collection methods. Platforms Previous Read the article Next
- New policy brief: International versus local VOD | Srpmedia
< Back New policy brief: International versus local VOD 4 Nov 2024 In a new policy brief and webinar, we present the findings of research on motivations of Flemish viewers ⇩ ENGLISH BELOW ⇩ Tijdens een webinar op 31 oktober presenteerde het Proeftuin Project nieuwe inzichten over de streaminggewoonten en voorkeuren van Vlaamse kijkers. Dit zijn de vijf belangrijkste conclusies: 1. Kijken blijft een collectieve activiteit Streaming biedt gepersonaliseerde aanbevelingen, maar kijkgedrag vertoont nog steeds sterke overeenkomsten met het traditionele, lineaire kijkpatroon. Keuzes worden vaak beïnvloed door sociale omgevingen, en samen kijken blijft een waardevolle culturele activiteit. Het ‘watercooler-effect’, waarbij populaire shows gesprekstof opleveren, blijft relevant, zowel voor internationale hits als lokale titels. 2. Lokale platformen lopen achter met personalisatie, maar voldoen aan verwachtingen Internationale platformen zijn sterk in personalisatie, terwijl Vlaamse kijkers vaak al weten wat ze willen zien op lokale platforms zoals VRT MAX en VTM GO. Hoewel deze platformen geavanceerde aanbevelingssystemen missen, slagen ze erin om te voldoen aan de vraag naar specifieke lokale content. De belangrijkste uitdaging blijft het uitbreiden van de catalogus en de gebruiksvriendelijkheid verbeteren. 3. Vlaamse kijkers waarderen lokale content Lokale platformen zijn de voorkeurskeuze voor Vlaamse kijkers die op zoek zijn naar regionale shows, terwijl grote streamingdiensten zoals Netflix over het algemeen worden geassocieerd met internationale content. Deze waardering voor lokale content geeft platformen zoals VRT MAX en Streamz de kans om zich te onderscheiden, vooral voor kijkers die regionale verhalen belangrijk vinden. 4. Streaming en bioscoop bezoek: Complementaire ervaringen Vlaamse kijkers zien streaming en bioscoopbezoek als aanvullend op elkaar. Degenen die veel streamen, gaan ook vaak naar de bioscoop, vooral vanwege de gedeelde ervaring. Hoewel de prijs voor sommigen een drempel blijft, blijft de bioscoop aantrekkelijk vanwege de unieke sociale sfeer. 5. Lokale content leeft, maar internationale content domineert Vlaamse kijkers associëren lokale platformen sterk met regionale content, maar hun kijkgedrag op grote platformen neigt naar internationale series en films. Deze voorkeur voor globaal aanbod vormt het streaminggedrag, maar lokale platformen blijven inspelen op de vraag naar binnenlandse verhalen en ervaringen. Voor een diepgaandere analyse, bekijk de volledige policybrief op de SMIT-website . ___________________________________ During a webinar on October 31, the Proeftuin Project revealed fresh insights into the habits and preferences of Flemish streaming audiences. Here are the five main takeaways: 1. Watching together remains Streaming may allow for individual recommendations, but watching habits still mirror traditional, linear viewing. Choices are often influenced by social settings, and shared viewing remains a strong cultural activity. The “watercooler effect,” where popular shows spark conversations, is still alive, with both international hits and local titles playing a role. 2. Local platforms lag in personalization but meet viewer expectations While international platforms excel at personalization, Flemish viewers often know exactly what they want to watch on local platforms like VRT MAX and VTM GO. These platforms lack sophisticated recommendation systems, yet they succeed in catering to viewers' demands for specific local content. The main challenge remains expanding their catalog while enhancing usability. 3. Flemish viewers value local content Local platforms are the preferred choice for Flemish audiences seeking regional shows, while major streaming services like Netflix are generally associated with international content. This appreciation for local content allows platforms such as VRT MAX and Streamz to distinguish themselves, particularly for viewers who prioritize regional storytelling. 4. Streaming and cinema are complementary experiences Flemish viewers see streaming and cinema as complementary. Those who stream frequently also tend to visit cinemas, mainly for the shared experience. While price remains a deterrent for some, cinemas remain attractive for their unique social environment. 5. Local content thrives, but international content dominates While Flemish audiences strongly associate local platforms with regional content, their actual viewing behavior on major platforms leans towards international series and films. This preference for global content shapes streaming behavior, yet local platforms continue to meet the demand for domestic stories and experiences. For more information the full policy brief is available on the SMIT website (Dutch only). Previous Next
- A glimpse into our work-in-progress | Srpmedia
< Back A glimpse into our work-in-progress 12 Feb 2024 Reflections on the research presented at Etmaal On Thursday 8th and Friday 9th February 2024, Hanne Vandenbroucke and Ulysse Maes attended the 26th edition of Etmaal van Communicatiewetenschap in Rotterdam. At this two-day conference, researchers from Communication Sciences in Belgium and The Netherlands unite to present their projects, get feedback from peers, and be inspired by the work of others. They were invited to present their work-in-progress during the Research Escalator. In this blogpost we highlight the key take-aways from their presentations. Multi-stakeholder approach to news personalization - Hanne Vandenbroucke What lies behind the "For you", "Read more" or "See also" sections on the website or mobile app of your favorite news brand? By conducting stakeholder interviews with professionals working in commercial news organizations operating in Flanders: DPG Media, Mediahuis and Mediafin; We aim to map the development and implementation of recommender systems. The key internal stakeholder groups involved in and impacted by news recommender systems are: (1) the newsroom, (2) the technical development, and (3) the commercial business unit. Based on the stakeholder interviews, we are able to build upon the multi-stakeholder framework of Smets et al. (2022) . The preliminary results give insights in the actual decision-making process for recommender development. News organisations started experimenting with a news recommender system on average 3 years ago. The initial process of trial and error had transformed into an ongoing cycle of adjusting the RS design. In practice both the newsroom and the business unit express their objectives, preconditions and concerns to the product owner who aligns the different perspectives and formulates a concrete set of goals. Next, the technology development team will operationalize these objectives into computational metrics and adjust the recommender system design. Performance data is continuously being collected and monitored. A feedback loop set up to communicate the results of the adjusted recommender to the product owner who – together with the data analytics team – derives insights from the data and report back to the business unit and newsrooms. Exploring the influence of misleading explanations on the perceived quality of recommender systems – Ulysse Maes Nowadays, recommender systems are everywhere: you find them on Amazon, on Netflix and Spotify, for example. These algorithmic curation systems help internet users to efficiently navigate through vast amounts of content. While holding clear advantages in terms of user experience, there are some limitations and normative concerns. One of these concerns stems from the limited transparency they provide. This may lead to distrust and frustration. Adding explanations may yield different results, which depend on your objectives. (Tintarev & Masthoff, 2007) suggest seven goals of explainable recommendations: effectiveness, efficiency, satisfaction, scrutability, transparency, trust, and persuasiveness. Note that maximizing for one goal might be beneficial for another (e.g. improving for scrutability- giving users the ability to change the outcomes to their liking- might improve satisfaction). However, optimizing for one goal might also harm other goals. This research specificially dives into the possible conflict between optimizing for persuasiveness and its effects on transparency and trust. By “optimizing for persuasiveness”, we mean creating compelling narratives to persuade users to consume recommended content. For example, when you buy a pair of jeans online, the shop can try to upsell by recommending some white t-shirts and explain the recommendations as “Style advice for the perfect shirt to wear on your new jeans.” A more neutral explanation could be: “Customers also bought.” Persuasion in itself is not problematic, but it might become problematic once it becomes misleading: hiding important information or even lying about the working of the system, or the drivers behind a decision. As explanations are often linked to a conception of transparency, both with end-users and academia, the mere presence of explanations can already lead to increased trust in the system. By crafting compelling but incorrect explanations, it might be possible to manipulate users into consuming certain content, while still giving them a feeling of agency. There are clearly some incentives to create misleading explanations. But do they work? Theory is still inconclusive. While some research mentions the effectiveness of personalized persuasion (Burtell & Woodside, 2023), others highlight the detrimental effects on long-term trust: would platforms really jeopardize this? Another argument against the effectiveness of misleading explanations is that the costs don’t outweigh the benefits – a critique sometimes formulated on explanations in general as well. The field of explainable AI recognizes the immense potential of Large Language Models (LLMs), such as ChatGPT, to generate personalized, dynamic explanations at scale. It has already been shown that these explanations can be more persuasive than human-generated texts. One of the reasons why we do not see LLM-generated explanations popping up everywhere, is because of their tendency to “hallucinate” - to make up plausible, but incorrect narratives. 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
- Landingspagina Proeftuin | Srpmedia
Doe mee aan het onderzoek en krijg een bol.com bon ter waarde van 50 euro! 1 . Jouw mening telt In deze unieke studie van de Vrije Universiteit Brussel en Play Media onderzoeken we hoe jij reclame beleeft. Jouw input helpt ons om de kijkervaring van de toekomst vorm te geven. 2 . Hoe verloopt het onderzoek? Tijdens het onderzoek kijken we naar twee aspecten: we vragen naar jouw persoonlijke ervaringen en we passen de reclameblokken mogelijks aan om te zien wat voor jou het beste werkt. Na je inschrijving ontvang je meer informatie over de volgende stappen. 3 . Beloning voor deelname Als bedankje voor je tijd en waardevolle inzichten ontvang je na afloop van het onderzoek een bol.com cadeaubon ter waarde van €50 als je het hele onderzoek hebt meegedaan. Vragen over het onderzoek? Neem contact op met ons op via jeroen.peeters@vub.be of iris.jennes@vub.be Voornaam Achternaam E-maladres Telefoonnummer E-mail van je Play account Inschrijven Jouw gegevens worden strikt vertrouwelijk behandeld volgens de GDPR-richtlijnen en enkel gebruikt voor dit onderzoek. Bedankt voor je inschrijving, we contacteren je binnenkort! Neem deel aan het onderzoek
- Catching the waves: The case of VRT's digital-first audio strategy | Srpmedia
< Back 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 European public service media (PSM) are increasingly embracing strategies that balance digital platform tactics and meeting the public remit. This article addresses how a small market PSM is repositioning itself in a media landscape dominated by global platforms, streaming services and legacy media adopting platformisation strategies. We examine platformisation at the Flemish broadcaster VRT through the lens of its digital audio strategy. The study combines document analysis and expert interviews. Results show a strategic shift towards more focus on user needs and habits; a branding strategy revolving around the VRT parent brand; a necessary yet precarious presence on third-party platforms; a legacy-driven content offering complemented by online-only commissioning; and a firm editorial grip on content curation. VRT's take on these strategic innovations highlights a series of key dilemmas for PSM to reconcile public remit delivery and competitiveness in a platformised media landscape. Public Service Media Previous Read the article Next
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