Zoekresultaten

< Back Pieter Van der Elst PhD Researcher pieter.van.der.elst@vub.be Pieter Van der Elst joined imec-SMIT as a PhD candidate in 2023. Researching on the broader topic of algorithmic recommenders in the Flemish media industry, his thesis focuses on how the public service broadcaster VRT positions itself within a contemporary media context. His academic interests lie mainly in media economics and datafication of media. Before his start at imec-SMIT he briefly worked as a consultant for one of the leading social bureaus for artists (SBK’s) in the Flemish cultural industry, providing services exclusively to VRT. He obtained a Bachelor’s degree in Journalism and subsequently a Master’s degree in Communication Studies. Visit my research profile

< Back Impacts of AI on Music Consumption and Fairness Henry, A., Wiratama, V., Afilipoaie, A., Ranaivoson, H., & Arrivé, E. (2024). Impacts of AI on Music Consumption and Fairness. Emerging Media, 0(0). https://doi.org/10.1177/27523543241269047 The algorithmic systems utilized by music streaming services have the potential to positively influence individual choices by promoting new artists, but they are also often accused of perpetuating biases. In this research note, we aim to explore the impact of these platforms’ AI-based algorithms on fairness in music consumption. To address this question, we adopt a multidimensional approach that considers the legal, economic, and algorithmic dimensions of fairness. This approach is applied to our EU Horizon Europe Fair MusE project, which advocates for a fairer music ecosystem. However, it should be noted that we propose a tool to score output (playlists) based on fairness models instead of directly altering the algorithms. Data from end users, data brokers, and open-source databases will inform the model, while the processing of the data is aimed at providing users with insights into algorithmic biases and empower them to influence the output. Acknowledging this aspect, this research note serves as a prelude to highlight the need for increased transparency and explainability of algorithms. Furthermore, we seek to inform policy interventions that promote fairness, particularly regarding data sharing between creators and platform providers. Such interventions would foster trust among stakeholders and benefit both users and businesses. Platforms Previous Read the article Next

< Back Ciao from EMMA in Rome! 5 Jun 2025 Our presentations at the emma Conference 2025 On the first day of the EMMA Conference, Aina, Hanne, and Pieter joined over 20 other PhD students from all over Europe for the inspiring PhD Workshop. In small groups, under the guidance of an experienced researcher, each student got the opportunity to present some issues related to their PhD track, delving into theoretical frameworks, methodological approaches, data analysis, the writing process, and mental challenges such as dealing with impostor syndrome, The diversity of research themes and perspectives is of great value to our three PhD’ers as their starting the third year of their track. The workshop provided room for deepening, exchange, and building a valuable network of fellow researchers. And of course, there was also time to enjoy the sunshine, have an espresso, Aperol Spritz, and taste some Italian delicacies! 😋🇮🇹🍕 The second day of the EMMA Conference was dominated by fascinating presentations, including that of our colleague Aina , who presented her research with great flair. Aina’s ongoing research (as part of the ALGEPI project ) investigates how Europe’s AI regulatory frameworks—ranging from the EU’s AI Act and European Media Freedom Act (EMFA) to UNESCO and Council of Europe guidelines and national AI strategies in Belgium, France, and Spain—are or are not reshaping newsroom governance. The goal of this research is to explore the intersection between regulation and journalism more closely trying to understand how AI regulation translates into newsroom realities across European contexts. Through a two‐step approach of document analysis and interviews with legal experts, media managers, and practitioners, she discussed the impact of both hard and soft law in the journalistic context as well as media‐tailored AI policies that balance compliance with editorial independence. Next to Aina’s insights, it was inspiring to hear from other research themes and get some findings from other studies. After a strong day at the conference, we had a chance to explore beautiful Rome and do some sightseeing. The day ended in style with a delicious buffet full of authentic Italian dishes.🍝🍦 On day three of the EMMA Conference, it was Hanne and Pieter's turn to present their research. Together, they gave an engaging joint presentation in which they shared a comparative analysis of how decision-making around recommender systems for media distribution is shaped in commercial media companies and public broadcasters. Building upon the framework of Smets et al (2022), they investigate how the strategic perspective on integrating recommender systems differs in profit-oriented organizations and PSM. By integrating their individual case studies, they offered valuable insights into the divergent strategic goals, recommendation purposes, and the implications for the recommender system design. The take-away? There are some similar strategic goals and recommendation purposes for editorial, commercial, and technological stakeholders in both types of media organizations. Nevertheless, the interpretation of concepts such as 'relevant' and 'engagement' differs based on the organizational cultures in profit-driven and public service media. Slide of presentation: Preliminary findings on shared overarching strategic goals and recommendation purposes For those who cannot get enough of Pieter , he also gave an individual presentation afterwards in which he elaborated on his case study work on Flemish public broadcaster VRT. With a focus on the tensions and possible conflicts that arise between stakeholders in the decision-making processes that shape the recommender system development, his presentation elaborated on the stakeholders involved at PSM and the implications of (dis) alignment of their strategic interests. His VRT deep dive hinted at the merits of a stronger involvement of indirect stakeholders for public service delivery and provided learnings on how PSM could tackle future structural integrations of technological innovations, for example, that of generative AI, which was a heavily debated topic at this conference. Previous Next

< 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

< 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 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 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

< 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

< 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

< 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

< 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

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