• A data-centric approach for ethical and trustworthy AI in journalism 

  Dierickx, Laurence; Opdahl, Andreas Lothe; Khan, Sohail Ahmed; Linden, Carl-Gustav; Guerrero Rojas, Diana Carolina (Journal article; Peer reviewed, 2024)

  AI-driven journalism refers to various methods and tools for gathering, verifying, producing, and distributing news information. Their potential is to extend human capabilities and create new forms of augmented journalism. ...

• BabelBot at AraFinNLP2024: Fine-tuning T5 for Multi-dialect Intent Detection with Synthetic Data and Model Ensembling 

  Fares, Murhaf; Touileb, Samia (Chapter, 2024)

  This paper presents our results for the Arabic Financial NLP (AraFinNLP) shared task at the Second Arabic Natural Language Processing Conference (ArabicNLP 2024). We participated in the first sub-task, Multi-dialect Intent ...

• Academic filmmaking and its discontents: In between videographic criticism and visual anthropology 

  Ceuterick, Maud Eurydice; Giannotti Mura, Carola Ludovica (Journal article; Peer reviewed, 2024)

  Working with the same filmed material from the perspective of anthropology and screen studies, the authors discuss their disciplines’ different approaches to academic filmmaking. This article presents two videos, Filming ...

• Résurrection numérique, deuil et données personnelles : décryptage des imaginaires dystopiques et des enjeux éthiques de l’IA dans l’épisode « Be Right Back » de Black Mirror 

  Malet, Marine (Journal article; Peer reviewed, 2024)

  Dans l’épisode « Be right Back » (S02E01) réalisé par Owen Harris et diffusé sur Channel 4 le 11 février 2013, la série télévisée Black Mirror met en scène une intelligence artificielle programmée pour permettre de converser ...

• Trust, trustworthiness and AI governance 

  Lahusen, Christian; Maggetti, Martino; Slavkovik, Marija (Journal article; Peer reviewed, 2024)

  An emerging issue in AI alignment is the use of artificial intelligence (AI) by public authorities, and specifically the integration of algorithmic decision-making (ADM) into core state functions. In this context, the ...

• Perception versus Reality: Evaluating User Awareness of Political Selective Exposure in News Recommender Systems 

  Starke, Alain Dominique; Bremnes, Anders Sandvik; Knudsen, Erik; Trilling, Damian; Trattner, Christoph (Chapter, 2024)

  News Recommender Systems (NRSs) have become increasingly pivotal in shaping the news landscape, particularly in how news is disseminated. This has also led to concerns about information diversity, especially regarding ...

• The dark side of the media welfare state: How media policy ignored consumption and climate change 

  Moe, Hallvard; Enli, Gunn; Syvertsen, Trine (Chapter, 2024)

  This chapter revisits the concept of the media welfare state, a term we coined a decade ago (with fourth author Ole Mjøs). The concept highlighted how welfare state principles influenced media policy in the Nordic countries ...

• Probabilistic judgment aggregation with conditional independence constraints 

  Ivanovska, Magdalena; Slavkovik, Marija (Journal article; Peer reviewed, 2024)

  Probabilistic judgment aggregation is concerned with aggregating judgments about probabilities of logically related issues. It takes as input imprecise probabilistic judgments over the issues given by a group of agents and ...

• Understanding news experience: The resonance between content, practices, and situatedness in everyday life 

  Borchgrevink-Brækhus, Marianne (Journal article; Peer reviewed, 2025)

  People relate to news in highly complex ways. Research on news audiences has identified how content reception, user practices, and spatiotemporal contexts influence relations to news. This study aims to see these dimensions ...

• "Let the Fear Go and Trust the Process" —Experiencing Grounded Theory Over a Lifetime 

  Simmons, Odis E.; Gynnild, Astrid (Journal article; Peer reviewed, 2024)

  Odis SIMMONS was among the first students who learned grounded theory method (GTM) directly from the co-founders GLASER and STRAUSS. Except for GLASER himself, SIMMONS is probably the grounded theorist who has taught the ...

• SIM2VR: Towards Automated Biomechanical Testing in VR 

  Fischer, Florian; Ikkala, Aleksi; Klar, Markus; Fleig, Arthur; Bachinski, Miroslav; Murray-Smith, Roderick; Hämäläinen, Perttu; Oulasvirta, Antti; Müller, Jörg (Chapter, 2024)

  Automated biomechanical testing has great potential for the development of VR applications, as initial insights into user behaviour can be gained in silico early in the design process. In particular, it allows prediction ...

• AiCommentator: A Multimodal Conversational Agent for Embedded Visualization in Football Viewing 

  Andrews, Peter Daniel; Nordberg, Oda Elise; Portales, Stephanie Zubicueta; Borch, Njål; Guribye, Frode; Fujita, Kazuyuki; Fjeld, Morten (Chapter, 2024)

  Traditionally, sports commentators provide viewers with diverse information, encompassing in-game developments and player performances. Yet young adult football viewers increasingly use mobile devices for deeper insights ...

• LifeLens 2.0: Improving Efficiency and Usability in Lifelog Retrieval Systems through UX/UI Design 

  Hordvik, Maria Tysse; Østby, Julie Sophie Teilstad; Dang Nguyen, Duc Tien; Kesavulu, Manoj; Nguyen, Thao-Nhu; Le, Tu-Khiem; Gurrin, Cathal; Tran, Minh-Triet (Chapter, 2024)

  In lifelogging, user experience is one of the most important features as it provides accessibility and efficiency. A well-designed and intuitive interface minimizes errors and frustration, which provides the ability to ...

• T@ Retrospect: A Journey Through Time: A User-Centered Prototype Enabling Seamless Information Retrieval Across Expertise Levels 

  Steffensen, Iselin Ågotnes; Nystad, Sara Tumey Celik; Liahjell, Margrethe; Dang Nguyen, Duc Tien; Kesavulu, Manoj; Ninh, Van-Tu; Gurrin, Cathal; Vuong, Gia-Huy; Ho, Van-Son; Tran, Minh-Triet (Chapter, 2024)

  The amplified advancements of lifelog retrieval systems has led to increased demands for user-friendly systems tailored to both expert and novice users. At the heart of this evolution is the Lifelog Search Challenge (LSC), ...

• Predicting Multiple Outcomes Associated with Frailty based on Imbalanced Multi-label Classification 

  Tarekegn, Adane Nega; Michalak, Krzysztof; Costa, Giuseppe; Ricceri, Fulvio; Giacobini, Mario (Journal article; Peer reviewed, 2024)

  Frailty syndrome is prevalent among the elderly, often linked to chronic diseases and resulting in various adverse health outcomes. Existing research has predominantly focused on predicting individual frailty-related ...

• Against Generative UI 

  Okopnyi, Pavel; Nordberg, Oda Elise; Guribye, Frode (Chapter, 2024)

  This paper addresses the promising concept of Generative UI, which suggests using AI capabilities to create dynamic user interfaces that reflect user needs at the moment. We list critical considerations relating to AI-inherent ...

• Report on NORMalize: The Second Workshop on the Normative Design and Evaluation of Recommender Systems 

  Starke, Alain Dominique; Vrijenhoek, Sanne; Michiels, Lien; Kruse, Johannes; Tintarev, Nava (Chapter, 2024)

  Recommender systems are among the most widely used applications of artificial intelligence. Because of their widespread use, it is important that practitioners and researchers think about the impact they may have on users, ...

• EDEN: A Dataset for Event Detection in Norwegian News 

  Touileb, Samia; Murstad, Jeanett; Mæhlum, Petter; Steskal, Lubos; Storset, Lilja Charlotte; You, Huiling; Øvrelid, Lilja (Chapter, 2024)

  We present EDEN, the first Norwegian dataset annotated with event information at the sentence level, adapting the widely used ACE event schema to Norwegian. The paper describes the manual annotation of Norwegian text as ...

• Emotional Reframing of Economic News using a Large Language Model 

  Jeng, Jia-Hua; Kasangu, Gloria Anne Babile; Starke, Alain Dominique; Trattner, Christoph (Chapter, 2024)

  News media framing can shape public perception and potentially polarize views. Emotional language can exacerbate these framing effects, as a user’s emotional state can be an important contextual factor to use in news ...

• Supporting healthier food choices through AI-tailored advice: A research agenda 

  Starke, Alain Dominique; Dierkes, Jutta; Lied, Gülen Arslan; Kasangu, Gloria Anne Babile; Trattner, Christoph (Journal article; Peer reviewed, 2025)

  Objective To develop a research agenda to investigate the effectiveness of AI-tailored advice to support healthier home cooking. It aims to support healthier food choice in the context of hypertension, allergies, and ...

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