Now showing items 1-20 of 678

    • A Systematic Method for Evaluating Implementations of Electronic Medical Records Systems in Low- and Medium-Income Countries 

      Ngugi, Philomena Njeri (Doctoral thesis, 2021-12-09)
      Background: Implementations of Electronic Medical Record systems (EMRs) in healthcare industry in Low- and Middle- Income Countries (LMICs) have been on the rise in recent years driven by the promise of improvements in ...
    • Towards Responsible Media Recommendation 

      Elahi, Mehdi; Jannach, Dietmar; Skjærven, Lars; Knudsen, Erik; Sjøvaag, Helle; Tolonen, Kristian; Holmstad, Øyvind; Pipkin, Igor; Throndsen, Eivind; Stenbom, Agnes; Fiskerud, Eivind; Oesch, Adrian; Vredenberg, Loek; Trattner, Christoph (Journal article; Peer reviewed, 2021)
      Reading or viewing recommendations are a common feature on modern media sites. What is shown to consumers as recommendations is nowadays often automatically determined by AI algorithms, typically with the goal of helping ...
    • Investigating the impact of recommender systems on user-based and item-based popularity bias 

      Elahi, Mehdi; Khosh Kholgh, Danial; Kiarostami, Mohammad Sina; Saghari, Sorush; Parsa Rad, Shiva; Tkalcic, Marko (Journal article; Peer reviewed, 2021)
      Recommender Systems are decision support tools that adopt advanced algorithms in order to help users to find less-explored items that can be interesting for them. While recommender systems may offer a range of attractive ...
    • Developing a Software Reference Architecture for Journalistic Knowledge Platforms 

      Gallofré Ocaña, Marc; Opdahl, Andreas Lothe (Journal article; Peer reviewed, 2021)
      For news organizations to survive and thrive in today’s media landscape, they must utilize big data and artificial intelligence technologies effectively. News organizations that want to exploit techniques like machine ...
    • The PO-VE Framework : Understanding the Relationships Between Player Objects and Virtual Environments in Digital Games 

      Willumsen, Ea Christina (Doctoral thesis, 2021-10-29)
      Based on a qualitative analysis of 99 different digital games, this study develops a framework for understanding the functionality and relationships between player objects and virtual environments, explored in what has ...
    • Development of a systematic method for assessing HIV-indicator data reporting in Kenya 

      Gesicho, Milka Bochere (Doctoral thesis, 2021-08-24)
      Background: In a bid to eradicate the HIV epidemic, Low-and Middle-Income Countries (LMICs) have taken strides in strengthening monitoring and evaluation through building capacity in data collection and data use. As such, ...
    • #Relatable - En kvalitativ studie av unge voksnes forhold til internett-memer. 

      Waage, Andrea Marcella (Master thesis, 2021-06-15)
      Denne oppgaven undersøker internett-memer og meme-kultur som et utbredt kulturelt fenomen blant unge voksne, og oppgaven søker etter å finne svar på hvilken funksjon memer har i dagens ungdomskultur. Problemstillingen som ...
    • How the public understands news media trust: An open-ended approach 

      Knudsen, Erik; Dahlberg, Stefan; Iversen, Magnus Hoem; Johannesson, Mikael Poul; Nygaard, Silje (Journal article; Peer reviewed, 2021)
      Despite the central role that ordinary citizens play as ‘trustors’ (i.e. the actor that places trust) in the literature on news media trust, prior quantitative studies have paid little attention to how ordinary citizens ...
    • Toward ‘Cultures of Engagement’? An exploratory comparison of engagement patterns on Facebook news posts 

      Ferrer-Conill, Raul; Karlsson, Michael; Haim, Mario; Kammer, Aske; Elgesem, Dag; Sjøvaag, Helle (Journal article; Peer reviewed, 2021)
      Information production, dissemination, and consumption are contingent upon cultural and financial dimensions. This study attempts to find cultures of engagement that reflect how audiences engage with news posts made by ...
    • Kvasir-Capsule, a video capsule endoscopy dataset 

      Smedsrud, Pia H; Thambawita, Vajira L B; Hicks, Steven; Gjestang, Henrik; Olsen Nedrejord, Oda; Næss, Espen; Borgli, Hanna; Jha, Debesh; Berstad, Tor Jan; Eskeland, Sigrun Losada; Lux, Mathias; Espeland, Håvard; Petlund, Andreas; Dang Nguyen, Duc Tien; Garcia, Enrique; Johansen, Dag; Schmidt, Peter Thelin; Toth, Ervin; Hammer, Hugo Lewi; de Lange, Thomas; Riegler, Michael Alexander; Halvorsen, Pål (Journal article; Peer reviewed, 2021)
      Artificial intelligence (AI) is predicted to have profound effects on the future of video capsule endoscopy (VCE) technology. The potential lies in improving anomaly detection while reducing manual labour. Existing work ...
    • Identifying barriers and facilitators in HIV-indicator reporting for different health facility performances: A qualitative case study 

      Gesicho, Milka Bochere; Babic, Ankica (Journal article; Peer reviewed, 2021)
      Identifying barriers and facilitators in HIV-indicator reporting contributes to strengthening HIV monitoring and evaluation efforts by acknowledging contributors to success, as well as identifying weaknesses within the ...
    • Computing Consensus: A Logic for Reasoning About Deliberative Processes Based on Argumentation 

      Dyrkolbotn, Sjur Kristoffer; Pedersen, Truls Andre (Journal article; Peer reviewed, 2019)
      Argumentation theory can encode an agent’s assessment of the state of an exchange of points of view. We present a conservative model of multiple agents potentially disagreeing on the views presented during a process of ...
    • Experiments in Lifelog Organisation and Retrieval at NTCIR 

      Gurrin, Cathal; Joho, Hideo; Hopfgartner, Frank; Zhou, Liting; Albatal, Rami; Healy, Graham; Dang Nguyen, Duc Tien (The Information Retrieval Series;43, Chapter, 2021)
      Lifelogging can be described as the process by which individuals use various software and hardware devices to gather large archives of multimodal personal data from multiple sources and store them in a personal data archive, ...
    • Addressing the ethical principles of the Norwegian National Strategy for AI in a kindergarten allocation system 

      Botnevik, Stian; Belinskiy, Andrey; Asotic, Edis; Platou, Herman Stoud; Søvik, Thomas; Slavkovik, Marija (Chapter, 2020)
      The Norwegian National Strategy for Artificial Intelligence (NNSAI) published in 2020 includes seven principles of ethical AI. This paper explores whether those seven principles are stated in a clear enough way and are ...
    • Bias mitigation with AIF360: A comparative study 

      Hufthammer, Knut T.; Aasheim, Tor H.; Ånneland, Sølve; Brynjulfsen, Håvard; Slavkovik, Marija (Chapter, 2020)
      The use of artificial intelligence for decision making raises concerns about the societal impact of such systems. Traditionally, the product of a human decision-maker are governed by laws and human values. Decision-making ...
    • Teaching AI Ethics: Observations and Challenges 

      Slavkovik, Marija (Chapter, 2020)
      This report summarises the experience in teaching Artificial Intelligence (AI) Ethics as an elective masters level course at the University of Bergen. The goal of the summary is twofold: 1) to draw lessons for teaching ...
    • Fra ensom ulv til journalistisk samarbeid over landegrenser 

      Lexander, Anne-Joo C N S (Master thesis, 2021-06-01)
      Det ligger i DNA-et til enhver undersøkende journalist å være alene om et eksklusivt scoop. Å være den som breaker den store nyheten alle snakker om. Hva er det som får den egenrådige journalisten til å gi slipp på sitt ...
    • Sannhetens Ord Bibelsenter 

      Opheim, Birgit (Master thesis, 2021-06-15)
    • Fangelønnen og Palestina-bistanden 

      Gustafsson, Klaus (Master thesis, 2021-06-15)
    • Development of standard indicators to assess use of electronic health record systems implemented in low-and medium-income countries 

      Ngugi, Philomena Njeri; Babic, Ankica; Kariuki, James; Santas, Xenophon; Naanyu, Violet; Were, Martin C. (Journal article; Peer reviewed, 2021-01-11)
      Background: Electronic Health Record Systems (EHRs) are being rolled out nationally in many low- and middle-income countries (LMICs) yet assessing actual system usage remains a challenge. We employed a nominal group technique ...