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

• Olsen, Ragnhild Kr.; Tenenboim, Ori; Hess, Kristy et al. (2024). Platform paradoxes and public service media legitimacy: a cross-national study. (external link)
• Olsen, Ragnhild Kristine; Tenenboim, Ori; Hess, Kristy et al. (2024). Platform paradoxes and public service media legitimacy: a cross-national study. (external link)
• Dierickx, Laurence; Linden, Carl-Gustav; Opdahl, Andreas Lothe (2023). Automated Fact-Checking to Support Professional Practices: Systematic Literature Review and Meta-Analysis. (external link)
• Maiden, Neil; Zachos, Konstantinos; Franks, Suzanne et al. (2023). Automating Science Journalism Tasks: Emerging Opportunities. (external link)
• Dierickx, Laurence; Linden, Carl-Gustav; Opdahl, Andreas Lothe (2023). The Information Disorder Level (IDL) Index: A Human-Based Metric to Assess the Factuality of Machine-Generated Content. (external link)
• Sirén-Heikel, Stefanie; Kjellman, Martin; Linden, Carl-Gustav (2022). At the crossroads of logics: Automating newswork with artificial intelligence—(Re)defining journalistic logics from the perspective of technologists. (external link)
• Linden, Carl-Gustav; Lehtisaari, Katja; Grönlund, Mikko et al. (2021). Journalistic Passion as Commodity: A Managerial Perspective. (external link)

Academic lecture

• Olsen, Ragnhild Kristine; Tenenboim, Ori; Westlund, Oscar et al. (2023). Conflicts of Interests: A Cross-National Study of Public Service Media institutions’ Discourse Constructions About Platforms . (external link)
• Dierickx, Laurence; Linden, Carl-Gustav; Opdahl, Andreas Lothe (2023). The Ethical Dimensions of Data Quality for Automated Fact-Checking. (external link)
• Dierickx, Laurence; Linden, Carl-Gustav (2023). Fine-Tuning Languages: Epistemological Foundations for Ethical AI in Journalism. (external link)
• Dierickx, Laurence; Linden, Carl-Gustav; Opdahl, Andreas Lothe et al. (2023). AI in the newsroom: A data quality assessment framework for employing machine learning in journalistic workflow. (external link)
• Olsen, Ragnhild Kristine; Tenenboim, Ori; Hess, Kristy et al. (2023). Embracing paradoxes: Platform discourses and legitimacy building in public service media - A cross-national study . (external link)

Academic chapter/article/Conference paper

• Linden, Carl-Gustav; Morlandstø, Lisbeth; Nygren, Gunnar (2021). Local political communication in a hybrid media system. (external link)

Academic literature review

• Linden, Carl-Gustav (2021). Åland - A peculiar media system. (external link)

See a complete overview of publications in 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)