»I believe that journalism is in urgent need of change« On the relationship between academic journalism training and journalistic practice

By Gabriele Hooffacker and Nicola Moser | Generative language models and AI tools have become essential tools in journalism – used in data analysis, research, translation, idea generation, and much more. How will the use of tools like ChatGPT impact the shape of journalism as a profession, and its academic teaching? Analysis of these expert interviews shows that ChatGPT and similar AI tools are already playing a role in academic journalism training. But while university teaching assumes that generative language models will not fundamentally change the shape of journalism, but merely expand it, the practicing expert interviewed sees a fundamental shift in the relationship between editorial offices and audiences. He also describes how the use of AI tools has long become common practice in editorial offices.

How language AI could change journalism training A workshop report by Gabriele Hooffacker

By Gabriele Hooffacker | There are already some indications of what generative language AI can and will be able to do. It will transform journalism, the »profession of the public sphere« (Pöttker 2010). What does journalism teaching look like under these conditions? Which competencies need to be taught? Which specific knowledge and skills? Instead of dealing with the topic in a theoretical way, this subjective debate piece attempts to approach it by exploring the topic together with students. It provides a workshop report, compiles possible learning objectives for both students and teaching staff, and inspires further thought about the competencies needed for the profession of the public sphere.