Marianne Borchgrevink-Brækhus

Position

Postdoctoral Fellow

Affiliation

Research groups

Short info

I am researching news audiences, where I am particularly interested in how people experience and use news in everyday life.
Research

I am a postdoctoral researcher in the IMAGINE projectCitizen perceptions of AI in everyday media life, led by Brita Ytre-Arne. The project explores folk theories of AI, in which my research more specifically focuses on people’s news use, their experiences, and attitudes toward the use of AI in journalism and news.

My PhD dissertation explored how we can gain a more nuanced understanding of why and how people use news in everyday life, at a time when digital trace data increasingly shape understandings of audience interests and user patterns. I explored these digital behaviors from an audience perspective, primarily through qualitative methods. The project focused more concretely on why younger audiences are more reluctant to pay for news, what it means to spend time on news, and how media experiences shape news practices

I am also a member of the Bergen Media Use Research Group at the department.

After completing my PhD, I have worked on the research project iFAMIntergenerational families and algorithmic media, together with Hallvard Moe and Emilija Gagrčin. The project investigates how adults can gain algorithmic media literacy through intergenerational learning within the family.

I have previously conducted several studies at the intersection of audience studies, news use, and the implementation of new technology in the media industry. In 2020, I received funding from the Norwegian Media Authority for the project "Personalized News: Algorithm-Driven Front Pages in Norwegian Online Newspapers." Here, I researched the implementation of front page algorithms in Schibsted, how the algorithms curated the front pages in two Norwegian online newspapers, and how journalists and developers experienced the new technology. The project culminated in an article that won the award for Research Paper of the Year in the journal Norsk Medietidsskrift in 2023.

In my master's project, I examined how young adults navigate while reading news online, how these practices can be understood as public connection, and what implications these user patterns may have for how we can understand audience metrics.

Teaching

I have taught courses on media and news use, audience studies, new media technology, media experiences, and qualitative methods. I have been course responsible for Advanced Media Use Analysis (master's course) and Media Use: Theory and Methods (bachelor's course).

Publications
Lecture
Doctoral dissertation
Academic article
Poster
Academic lecture

See a complete overview of publications in Cristin.

Projects
  • 2025-2026: "iFAM: Intergenerational families & algorithmic media". Led by Hallvard Moe and Emilija Gagrčin. Funded by the Norwegian Media Authority.
  • 2021-2022 "Payment for News: Reluctance, Evasion, and Inequality in a Digital News Landscape." Led by Hallvard Moe. Funded by the Norwegian Media Authority.
  • 2020-2021 "Personalized News: Algorithm-Driven Front Pages in Norwegian Online Newspapers." Funded by the Norwegian Media Authority.