Related Experiment Video
Updated: Apr 3, 2026

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
Published on: June 13, 2025
Synthetic Genres: Expert Genres, Non-Specialist Audiences, and Misinformation in the Artificial Intelligence Age
Brad Mehlenbacher1, Ana Patricia Balbon2, Ashley Rose Mehlenbacher1
1Department of English Language and Literature, University of Waterloo, Hagey Hall of the Humanities, 200 University Ave, Waterloo, Ontario, N2L 3G1, Canada.
None:
Drawing on rhetorical genre studies, we explore research article abstracts created by generative artificial intelligence (AI). These synthetic genres-genre-ing activities shaped by the recursive nature of language learning models in AI-driven text generation-are of interest as they could influence informational quality, leading to various forms of disordered information such as misinformation. We conduct a two-part study generating abstracts about (a) genre scholarship and (b) polarized topics subject to misinformation. We conclude with considerations about this speculative domain of AI text generation and dis/misinformation spread and how genre approaches may be instructive in its identification.
Related Concept Videos
Non-equilibrium in the Cell
False Memories
One primary source of false memories is misattribution, where individuals incorrectly associate external information...
Stereotype Content Model
The Availability Heuristic
Understanding Deception
Confirmation Biases