Home // International Journal On Advances in Software, volume 19, numbers 1 and 2, 2026 // View article

Perceptions of AI-Edited Video News: Evaluation, Classification, and Attitudes

Authors:
Caspian Jade Moosburner
Matthias Kowald
Till Dannewald
Dennis Quandt
Wolfgang Ruppel
Matthias Narroschke

Keywords: Artificial Intelligence; AI; video editing; video news; algorithms; AI evaluation

Abstract:
With video news gaining more and more popularity, Artificial Intelligence (AI) video editing tools could be implemented to accelerate video news production. A challenging issue, however, is the quality of AI-edited video news and the acceptance of such news by media consumers. A cross-sectional survey with 2,219 participants across three independent waves was conducted in Germany to assess audience perceptions of video news clips edited by AI-based systems and by professional human editors. All survey participants were recruited by a commercial survey company. Participants were generally unable to reliably identify whether video clips were edited by humans or AI systems. Across several quality dimensions, ratings of AI-edited and human-edited clips were descriptively similar, with overlapping confidence intervals on multiple indicators. Future research can benefit from investigating fatigue related to AI tools and testing algorithmic performance improvements.

Pages: 40 to 54

Copyright: Copyright (c) to authors, 2026. Used with permission.

Publication date: June 30, 2026

Published in: journal

ISSN: 1942-2628