Contact

[email protected]

New York City | Copenhagen

www.linkedin.com

Hi there,

I’m a PhD fellow in the Department of Digitalization at Copenhagen Business School. My research examines the role of AI as a decision-maker on social media platforms and how users perceive AI-driven decisions. In particular, I study how the integration of large language models (LLMs) into content moderation affects users’ perceptions of fairness and trust. My work sits at the intersection of platform governance and human–AI interaction.

I was born and raised in Denmark, but spent eight years in New York City, where I graduated from NYU with a BA in Psychology and from Columbia University with an MS in Data Journalism. After graduating, I worked as a Senior Research Fellow at the Tow Center for Digital Journalism at Columbia University, where I wrote about media and technology.

I’m part of the founding team of Mission Unheard, a new project financially supported by the Pulitzer Center, aimed at helping news organizations uncover potentially overlooked narratives by using AI to audit who is quoted in their articles.

At the Tow Center, I used a mix of computational methods and traditional reporting to tell stories. My reporting examined hyper-partisan local news, content moderation, Big Tech, and the impact of AI on the journalism industry.

You can read examples of my reporting below:

Investigations

• Unpacking Gan Jing World
• Meta Is Getting Rid of CrowdTangle — and Its Replacement Isn’t As Transparent or Accessible
• Courier Newsroom Spent Big on a Meta Ad Blitz in October
• Rumble Wants Your Attention
• Should ChatGPT Join the J-School Classroom?
• Journalists Remain on Twitter, but Tweet Slightly Less
• The Progressive News Network, Courier, Keeps a Foot in Eight Swing States. This local Michigan Newsroom is one of them
• Unheard: Using Large Language Models to Conduct Source Audits of the News
• Toward AI-Powered Source Audits