• Examining the merits of feature-specific similarity functions in the news domain using human judgments 

  Starke, Alain Dominique; Solberg, Vegard Rygh; Larsen, Sebastian Øverhaug; Trattner, Christoph (Journal article; Peer reviewed, 2024)

  Online news article recommendations are typically of the ‘more like this’ type, gener- ated by similarity functions. Across three studies, we examined the representativeness of different similarity functions for news item ...

• Ultra-short-term global horizontal irradiance forecasting based on a novel and hybrid GRU-TCN model 

  Elmousaid, Rachida; Drioui, Nissrine; Elgouri, Rachid; Agueny, Hicham; Adnani, Younes (Journal article; Peer reviewed, 2024)

  The need for energy is increasing globally due to a several factors, including population growth and economic development. Achieving this energy demand in the face of global warming and the depletion of fossil fuels requires ...

• Digital Flux: The Process of Youth Disconnection in an Ambivalent Digital Modernity 

  Agai, Mehri S. (Doctoral thesis, 2024-11-28)

  Denne avhandlingen undersøker fenomenet digital frakobling blant ungdom, med vekt på dets prosessuelle natur og hvordan det formes av den iboende ambivalensen i dagens digitale moderniteten. Hovedforskningsspørsmålet som ...

• Psychologically Informed Design of Energy Recommender Systems: Are Nudges Still Effective in Tailored Choice Environments? 

  Starke, Alain Dominique; Willemsen, Martijn C. (Chapter, 2024)

  Studies in psychology have shown various ways how humans can be influenced in their choices and behavior. Many of these persuasive strategies and nudges are now also used online, affecting how digital choice environments ...

• Human Factors in User Modeling for Intelligent Systems 

  Pera, Sole; Cena, Federica; Landoni, Monica; Musto, Cataldo; Starke, Alain Dominique (Chapter, 2024)

  In the current digital landscape, humans take center stage. This has caused a paradigm shift in the realm of intelligent technologies, prompting researchers and (industry) practitioners to reflect on the challenges and ...

• Action Models for Coalition Logic 

  Galimullin, Rustam; Ågotnes, Thomas (Chapter, 2023)

  In the paper, we study the dynamics of coalitional ability by proposing an extension of coalition logic (CL). CL allows one to reason about what a coalition of agents is able to achieve through a joint action, no matter ...

• Trustworthiness: Public reactions to COVID-19 crisis communication 

  Skogerbø, Eli; Ihlen, Øyvind; Kjeldsen, Jens Elmelund; Vranic, Anja (Journal article; Peer reviewed, 2024)

  In an unprecedented situation of uncertainty, the COVID-19 pandemic tested the public crisis communication capacity. Using focus group data, this study analyzes public reactions to COVID-19 policies in Scandinavia. In line ...

• Information Platform for Antibiotics 

  Thormodsen, Marcus Sannes; Babic, Ankica (Journal article; Peer reviewed, 2024)

  There is a global shortage of personnel in the healthcare workforce, a situation which seems unlikely to improve in the foreseeable future, and it is vital that approaches and innovations are found to mitigate the negative ...

• The future technologies of journalism 

  Tessem, Bjørnar; Tverberg, Are; Borch, Njål Trygve (Journal article; Peer reviewed, 2024)

  The practice of journalism has undergone many changes in the last few years, with changes in technology being the main driver of these changes. We present a future study where we aim to get an understanding of what ...

• A survey on popularity bias in recommender systems 

  Klimashevskaia, Anastasiia; Jannach, Dietmar; Elahi, Mehdi; Trattner, Christoph (Journal article; Peer reviewed, 2024)

  Recommender systems help people find relevant content in a personalized way. One main promise of such systems is that they are able to increase the visibility of items in the long tail, i.e., the lesser-known items in a ...

• Malicious Agents and the Power of the Few : On the Logic of Abnormality in Social Networks 

  Pedersen, Mina Young (Doctoral thesis, 2024-09-27)

  Denne avhandlingen befinner seg i skjæringspunktet mellom formallogikk, samfunnsvitenskap, informasjonsvitenskap og forskning innenfor kunstig intelligens. Den er viet til studiet av agenter i multiagent-systemer som ...

• The Information Disorder Level (IDL) Index: A Human-Based Metric to Assess the Factuality of Machine-Generated Content 

  Dierickx, Laurence; Linden, Carl-Gustav; Opdahl, Andreas Lothe (Journal article; Peer reviewed, 2023)

  Large language models have enabled the rapid production of misleading or fake narratives, presenting a challenge for direct detection methods. Considering that generative artificial intelligence tools are likely to be used ...

• Prototyping first-person viewer positions for VR narratives with storyboards and pilot productions 

  Vindenes, Joakim; Nyre, Lars (Journal article; Peer reviewed, 2023)

  In this article, we present two related approaches to scripting or prototyping VR narratives. We tested storyboarding and pilot production techniques with 40 students over two years, and they were tasked with creating ...

• Beyond the Game: The Role of Mega-Sport Events and Media in Shaping Gender Equality and Women's Empowerment. An Analytical Study of the International Olympic Committee's Influence on Media Representation and Social Change 

  Soldati, Aneta Grabmüller (Doctoral thesis, 2024-08-30)

  Denne doktorgradsavhandlingen er en omfattende undersøkelse av forholdet mellom store idrettsarrangementer, mediedekning og implikasjonene for likestilling og kvinners myndiggjøring, med fokus på Den internasjonale olympiske ...

• Constructing hermeneutical relations: a postphenomenological inquiry into immersive VR memory palaces 

  Vindenes, Joakim; Lillehaug, Barbara Jane Wasson (Journal article; Peer reviewed, 2023)

  While VR adaptations of the mnemonic Method of Loci (or the ‘Memory Palace’ technique) show promising results in increasing mnemonic capabilities, little to no research has explored the use and integration of Virtual Memory ...

• Hybrid recommendation by incorporating the sentiment of product reviews 

  Elahi, Mehdi; Khosh Kholgh, Danial; Kiarostami, Mohammad Sina; Oussalah, Mourad; Saghari, Sorush (Journal article; Peer reviewed, 2023)

  Hybrid recommender systems utilize advanced algorithms capable of learning heterogeneous sources of data and generating personalized recommendations for users. The data can range from user preferences (e.g., ratings or ...

• Deepfake Detection: Analyzing Model Generalization Across Architectures, Datasets, and Pre-Training Paradigms 

  Khan, Sohail Ahmed; Dang Nguyen, Duc Tien (Journal article; Peer reviewed, 2023)

  As deepfake technology gains traction, the need for reliable detection systems is crucial. Recent research has introduced various deep learning-based detection systems, yet they exhibit limitations in generalising effectively ...

• Topical Preference Trumps Other Features in News Recommendation: A Conjoint Analysis on a Representative Sample from Norway 

  Knudsen, Erik; Starke, Alain Dominique; Trattner, Christoph (Journal article; Peer reviewed, 2023)

  A variety of news articles features can be used to tailor news content. However, only a few studies have actually compared the relative importance of different features in predicting news reading behavior in the context ...

• Understanding How News Recommender Systems Influence Selective Exposure 

  Seddik, Khadiga Mahmoud Abdalla; Knudsen, Erik; Trilling, Damian; Trattner, Christoph (Chapter, 2023)

  News recommender systems (NRSs) offer benefits in the realm of information consumption and person- alized news delivery. Yet, some critics argue that overly personalized news recommendations can pose a threat to democracy ...

• The Interplay between Food Knowledge, Nudges, and Preference Elicitation Methods Determines the Evaluation of a Recipe Recommender System 

  el Majjodi, Ayoub; Starke, Alain Dominique; Elahi, Mehdi; Trattner, Christoph (Chapter, 2023)

  Domain knowledge can affect how a user evaluates different aspects of a recommender system. Recipe recommendations might be difficult to understand, as some health aspects are implicit. The appropri- ateness of a recommender’s ...

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