RE-FRAME - Tracing Re-Use of Audiovisual Data in Journalism

This PhD-project focuses on the practices of re-use and framing of audiovisual data within journalism, by exploring how digital tools and AI techniques like Automatic Speech Recognition (A.S.R.) and Computer Vision (C.V.) play a role in the retrieval, selection, interpretation and storytelling processes. Through content analysis, interviews and action-based production analysis with journalists, I will explore the modalities of A.I. driven re-use and develop digital methods based on tool- and data criticism that can be employed in journalistic practice and training.

Funded by: