From black box to glass box: hidden mechanisms in automated journalism

Increasingly journalists are using automated tools in their research process. Digital, self-learning or AI tools are entering the journalistic market. We study how journalists use these tools and what the effect is on the gathering, selection and use of the found information and sources. 

Objective

The goal of this project is to understand the consequences of the use of AI tools on the research process of journalists and how this might have effect on the independency, objectivity and trustworthiness of journalism. With this project we want to enhance the understanding of algorithms and AI among journalists. 

Results

This project is still ongoing, results will follow during the project.

Duration

01 July 2020 - 01 July 2022

Approach

After conducting expert interviews, we will analyze how journalists use AI in their research process by conducting reconstruction interviews. Subsequently, by doing online observations and experiments at newsrooms we analyze how AI possibly as influence on the research and final product of a journalist.  

 

HU researchers involved in the research

  • Yael de Haan | Professor | Quality Journalism in Digital Transition
    Yael de Haan
    • Professor
    • Research groups: Quality Journalism in Digital Transition

Collaboration with knowledge partners

Any questions or do you want to collaborate?

Yael de Haan | Professor | Quality Journalism in Digital Transition

Yael de Haan

  • Professor
  • Research group: Quality Journalism in Digital Transition