Authors: L Hölbling, S Maier, S Feuerriegel
Year: 2025
Published in: Scientific Reports, 2025 - nature.com
Institution: University of Lausanne, University of Zurich, University of St. Gallen
Research Area: LLMs in Persuasion, Meta-Analysis, Artificial Intelligence, Human-Computer Interaction (HCI)
Discipline: Artificial Intelligence
Large language models (LLMs) demonstrate similar persuasive performance to humans overall, but their effectiveness varies widely based on contextual factors such as model type, conversation design, and domain.
Methods: Systematic review and meta-analysis using Hedges' g to compute standardized effect sizes, with exploratory moderator analyses and publication bias checks (Egger's test, trim-and-fill analysis).
Key Findings: The persuasive effectiveness of LLMs compared to humans across various contexts and studies.
Sample Size: 17422