Carl-Gustav Linden's picture
Kati Kalliomäki

Carl-Gustav Linden

Professor, Data Journalism
  • E-mailcarl-gustav.linden@uib.no
  • Visitor Address
    Fosswinckels gate 6
    Lauritz Meltzers hus
    5007 Bergen
  • Postal Address
    Postboks 7802
    5020 Bergen

I position my research mainly in two central areas in media and journalism studies. The first is media technology with a focus on human-machine interaction, AI and data, the second is sustainable business models for journalism and media. However, some of my publications also cover other topics such as business journalism, media capture, nationalism in media and political communication. That means that beyond in-depth knowledge of two areas I also have a broader competence.

My scientific approach is empirical research with interdisciplinary and international collaboration with computer scientists, data linguists, designers as well as business researchers. I often employ my students as research assistants. Most of the research provides results from real life experiences and involves participation of journalists and the media industry. I have a history of participatory action research in several projects. My main research methods are interviews, surveys, document analysis and ethnographic studies but I also collaborate on computational methods such as data mining and text analysis.

Teaching data journalism, AI and journalism, business models for media and the impact from Silicon Valley on journalism and media.

Academic article
  • Show author(s) (2023). The Information Disorder Level (IDL) Index: A Human-Based Metric to Assess the Factuality of Machine-Generated Content. Lecture Notes in Computer Science (LNCS). 60-71.
  • Show author(s) (2023). Automating Science Journalism Tasks: Emerging Opportunities. Journalism Practice.
  • Show author(s) (2023). Automated Fact-Checking to Support Professional Practices: Systematic Literature Review and Meta-Analysis. International Journal of Communication. 5170-5190.
  • Show author(s) (2022). At the crossroads of logics: Automating newswork with artificial intelligence—(Re)defining journalistic logics from the perspective of technologists. Journal of the Association for Information Science and Technology. 354-366.
  • Show author(s) (2021). Journalistic Passion as Commodity: A Managerial Perspective. Journalism Studies. 1701-1719.
Academic lecture
  • Show author(s) (2023). The Ethical Dimensions of Data Quality for Automated Fact-Checking.
  • Show author(s) (2023). Fine-Tuning Languages: Epistemological Foundations for Ethical AI in Journalism.
  • Show author(s) (2023). Embracing paradoxes: Platform discourses and legitimacy building in public service media - A cross-national study .
  • Show author(s) (2023). Conflicts of Interests: A Cross-National Study of Public Service Media institutions’ Discourse Constructions About Platforms .
  • Show author(s) (2023). AI in the newsroom: A data quality assessment framework for employing machine learning in journalistic workflow.
Academic chapter/article/Conference paper
  • Show author(s) (2021). Local political communication in a hybrid media system. 22 pages.
Academic literature review
  • Show author(s) (2021). Åland - A peculiar media system. Nordicom Review. 8-21.

More information in national current research information system (CRIStin)

Road to Freedom: How media and advertisers can reduce dependency on Silicon Valley tech companies https://blogs.helsinki.fi/road-to-freedom/ (2021)

Nordis: The Nordic Observatory for Digital Media and Information Disorder (2021-2023)

Augmented Journalism (2019-2022)

Research groups