Department of Information Science and Media Studies
Recent Submissions
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HyperKvasir, a comprehensive multi-class image and video dataset for gastrointestinal endoscopy
(Journal article; Peer reviewed, 2020)Artificial intelligence is currently a hot topic in medicine. However, medical data is often sparse and hard to obtain due to legal restrictions and lack of medical personnel for the cumbersome and tedious process to ... -
Designing web-mobile based solutions for monitoring heart signals
(Master thesis, 2021-05-11) -
A Model Based Slicing Technique for Process Mining Healthcare Information
(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
(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
(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
(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
(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
(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
(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
(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
(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
(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
(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
(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
(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
(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
(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?
(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
(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
(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 ...
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