aceGenerative AI and misinformation: a scoping review of the role of generative AI in the generation, detection, mitigation, and impact of misinformation
Abstract The rapid advancement of generative artificial intelligence (AI) has introduced both opportunities and challenges in the fight against misinformation. This scoping review synthesizes recent empirical studies to explore the dual role of generative AI—particularly large language models (LLMs)—in the generation, detection, mitigation, and impact of misinformation. Analyzing 24 empirical studies, our review suggests that LLMs can generate highly convincing misinformation, often exploiting cognitive biases a…
LLMs demonstrated capacity to detect false claims and increase users' resistance to misinformation, with personalized corrections showing effectiveness.
LLMs can generate highly convincing misinformation that exploits audience biases, and exposure was found to reduce trust and influence decision-making.
Mitigation evidence is mixed and safeguards are not consistently applied, and the field lacks standardized evaluation metrics.
Evidence
- Peer-reviewedAI & SOCIETY2025-09-30
How should this claim be treated?
Truvace Impact Record TRV-2026-1300, v1: “Generative AI and misinformation: a scoping review of the role of generative AI in the generation, detection, mitigation, and impact of misinformation.” Truvace, 2026-10-06. /record/TRV-2026-1300 (accessed at citation time). sha256 3b2cb67651379cbe…
Calibration history
Every change to this record since certification, in the open. None yet — the reading has held since it entered the record.
Certified into the record
How to verify without trusting this page
Fetch the canonical text of any version from /api/record/TRV-2026-1300 and hash it yourself — for example shasum -a 256 on the saved canonical field. The result must equal content_hash, and each version’s text ends with prev:followed by the prior version’s hash (version 1 chains to 64 zeros). If a single character of any version had been altered since certification, the chain would not reproduce.