Now showing items 1-20 of 634

    • A Model Based Slicing Technique for Process Mining Healthcare Information 

      Rabbi, Fazle; Lamo, Yngve; MacCaull, Wendy (Chapter, 2020)
      Process mining is a powerful technique which uses an organization’s event data to extract and analyse process flow information and develop useful process models. However, it is difficult to apply process mining techniques ...
    • A model based slicing technique for process mining healthcare information 

      Rabbi, Fazle; Lamo, Yngve; MacCaull, Wendy (Journal article; Peer reviewed, 2020)
      Process mining is a powerful technique which uses an organization’s event data to extract and analyse process flow information and develop useful process models. However, it is difficult to apply process mining techniques ...
    • Reusable data visualization patterns for clinical practice 

      Rabbi, Fazle; Wake, Jo Dugstad; Nordgreen, Tine (Chapter, 2020)
      Among clinical psychologists involved in guided internet-facilitated interventions, there is an overarching need to understand patients symptom development and learn about patients need for treatment support. Data ...
    • Data Privacy in Journalistic Knowledge Platforms 

      Gallofré Ocaña, Marc; Al-Moslmi, Tareq; Opdahl, Andreas Lothe (Journal article; Peer reviewed, 2020)
      Journalistic knowledge platforms (JKPs) leverage data from the news, social media and other sources. They collect large amounts of data and attempt to extract potentially news-relevant information for news production. At ...
    • Challenges and Opportunities for Journalistic Knowledge Platforms 

      Gallofré Ocaña, Marc; Opdahl, Andreas Lothe (Journal article; Peer reviewed, 2020)
      Journalism is under pressure from loss of advertisement and revenues, while experiencing an increase in digital consumption and user demands for quality journalism and trusted sources. Journalistic Knowledge Platforms ...
    • Lifting news into a journalistic knowledge platform 

      Al-Moslmi, Tareq; Gallofré Ocaña, Marc (Journal article; Peer reviewed, 2020)
      A massive amount of news is being shared online by individuals and news agencies, making it difficult to take advantage of these news and analyse them in traditional ways. In view of this, there is an urgent need to use ...
    • Analysis and Design of Computational News Angles 

      Motta, Enrico; Daga, Enrico; Opdahl, Andreas Lothe; Tessem, Bjørnar (Journal article; Peer reviewed, 2020)
      A key skill for a journalist is the ability to assess the newsworthiness of an event or situation. To this purpose journalists often rely on news angles, conceptual criteria that are used both i) to assess whether something ...
    • The Complexity Landscape of Outcome Determination in Judgment Aggregation 

      Endriss, Ulle; de Haan, Ronald; Lang, Jérôme; Slavkovik, Marija (Journal article; Peer reviewed, 2020)
      We provide a comprehensive analysis of the computational complexity of the outcome determination problem for the most important aggregation rules proposed in the literature on logic-based judgment aggregation. Judgment ...
    • Usability evaluations of mobile mental health technologies: A systematic review study 

      Inal, Yavuz; Wake, Jo Dugstad; Guribye, Frode; Nordgreen, Tine (Journal article; Peer reviewed, 2020)
      Background: Many mobile health (mHealth) apps for mental health have been made available in recent years. Although there is reason to be optimistic about their effect on improving health and increasing access to care, there ...
    • A knowledge-graph platform for newsrooms 

      Berven, Arne; Christensen, Ole Andreas; Moldeklev, Sindre; Opdahl, Andreas Lothe; Villanger, Kjetil Jacobsen (Journal article; Peer reviewed, 2020)
      Journalism is challenged by digitalisation and social media, resulting in lower subscription numbers and reduced advertising income. Information and communication techniques (ICT) offer new opportunities. Our research group ...
    • Group Belief 

      Ågotnes, Thomas; Wang, Yi N. (Journal article; Peer reviewed, 2020)
      While logical formalizations of group notions of knowledge such as common and distributed knowledge have received considerable attention in the literature, most approaches being based on modal logic, group notions of belief ...
    • Morphological filter detector for image forensics applications 

      Boato, Giulia; Dang Nguyen, Duc Tien; De Natale, Francesco G.B. (Journal article; Peer reviewed, 2020)
      Mathematical morphology provides a large set of powerful non-linear image operators, widely used for feature extraction, noise removal or image enhancement. Although morphological filters might be used to remove artifacts ...
    • Visual cultural biases in food classification 

      Zhang, Qing; Elsweiler, David; Trattner, Christoph (Journal article; Peer reviewed, 2020)
      This article investigates how visual biases influence the choices made by people and machines in the context of online food. To this end the paper investigates three research questions and shows (i) to what extent machines ...
    • A Closeness- and Priority-Based Logical Study of Social Network Creation 

      Smets, Sonja; Velázquez-Quesada, Fernando R. (Journal article; Peer reviewed, 2020)
      This paper is part of an on-going programme on the study of the logical aspects of social network formation. It recalls the so-called social network model, discussing the properties of a notion of closeness between agents ...
    • Boundary Work: Intermedia Agenda-Setting Between Right-Wing Alternative Media and Professional Journalism 

      Nygaard, Silje (Journal article; Peer reviewed, 2020)
      Through a quantitative content analysis (n = 878), this study examines and compares intermedia agenda-setting between right-wing alternative media outlets and mainstream online newspapers in the Scandinavian countries of ...
    • Har du delt nyhetene i dag? 

      Wold, Thomas (Journal article; Peer reviewed, 2020)
      Det har blitt vanlig å lese nyheter på sosiale medier. Dermed kan nettverket på sosiale medier sette sin egen dagsorden. Artikkelen gir en innholdsanalyse av de mest delte sakene på sosiale medier i Norge i 2017. Tallene ...
    • Operationalizing exposure diversity 

      Moe, Hallvard; Hovden, Jan Fredrik; Karppinen, Kari (Journal article; Peer reviewed, 2021)
      The concept of exposure diversity, the diversity of information that people actually access and use, has recently gained prominence in media policy debates. This aspect of media diversity, however, remains difficult to ...
    • Folk theories of algorithms: Understanding digital irritation 

      Ytre-Arne, Brita; Moe, Hallvard (Journal article; Peer reviewed, 2020)
      This article draws on the framework of “folk theories” to analyze how people perceive algorithms in the media. Taking algorithms as a prime case to investigate how people respond to datafication in everyday media use, we ...
    • Dark Play in Dishonored 

      Jørgensen, Kristine (Chapter, 2015)
    • Assessment of HIV Data Reporting Performance by Facilities During EMR Systems Implementations in Kenya 

      Ngugi, Philomena Njeri; Gesicho, Milka Bochere; Babic, Ankica; Were, Martin C. (Journal article; Peer reviewed, 2020)
      There is little evidence that implementations of Electronic Medical Record Systems (EMRs) are associated with better reporting completeness and timeliness of HIV routine data to the national aggregate system. We analyzed ...