Recent Submissions

  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • Dead Rising and the Gameworld Zombie 

    Jørgensen, Kristine (Chapter, 2019)
    This chapter investigates how the open-world game Dead Rising (Capcom 2006) uses zombies in its construction of the gameworld interface. Drawing on Weise’s (2009) research on ludic adaptations of the zombie and in particular ...
  • Emphatic and Ecological Sounds in Gameworld Interfaces 

    Jørgensen, Kristine (Chapter, 2017)
    This chapter discusses the weaknesses and strengths of the concepts and theories that are commonly used to understand game sound, and describes a gameplay-sensitive, ecological perspective based on the idea of gameworld ...
  • Integrating Socially Assistive Robots into Japanese Nursing Care 

    Kolstad, Markus; Yamaguchi, Natsu; Babic, Ankica; Nishihara, Yoko (Journal article; Peer reviewed, 2020)
    This paper presents experiences of integrating assistive robots in Japanese nursing care through semi-structured interviews and site observations at three nursing homes in Japan during the year 2019. The study looked at ...
  • K-Means Clustering in Monitoring Facility Reporting of HIV Indicator Data: Case of Kenya 

    Gesicho, Milka Bochere; Babic, Ankica; Were, Martin C. (Journal article; Peer reviewed, 2020)
    Health management information systems (HMISs) in low- and middle-income countries have been used to collect large amounts of data after years of implementation, especially in support of HIV care services. National-level ...
  • Integrating Socially Assistive Robots into Japanese Nursing Care 

    Kolstad, Markus; Yamaguchi, Natsu; Babic, Ankica; Nishihara, Yoko (Journal article; Peer reviewed, 2020)
    This paper presents experiences of integrating assistive robots in Japanese nursing care through semi-structured interviews and site observations at three nursing homes in Japan during the spring of 2019. The study looked ...

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