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2025 scoping review in MDPI Publications
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A 2025 scoping review relevant to AI safety discussions around information integrity, epistemic risks from generative AI, and the governance challenges of AI-produced disinformation; useful for researchers studying societal harms from capable AI systems.
Metadata
Importance: 42/100journal articleanalysis
Summary
A 2025 scoping review published in MDPI Publications examining the landscape of AI-generated misinformation and disinformation, analyzing epistemological challenges posed by synthetic content, and surveying detection and mitigation approaches. The review maps current research trends and identifies gaps in addressing AI-enabled information integrity threats.
Key Points
- •Scoping review methodology used to synthesize literature on AI-generated disinformation and its epistemological implications
- •Examines how generative AI lowers barriers to creating convincing false or misleading content at scale
- •Surveys detection techniques and their limitations in distinguishing authentic from AI-synthesized information
- •Identifies gaps in current research around truth verification and epistemic trust in AI-mediated information ecosystems
- •Highlights governance and policy considerations for managing AI-enabled disinformation risks
Cited by 1 page
| Page | Type | Quality |
|---|---|---|
| Epistemic Collapse | Risk | 49.0 |
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- Review
- 
20 July 2025
# Mapping the Impact of Generative AI on Disinformation: Insights from a Scoping Review
Alexandre López-Borrull1,\* and
Carlos Lopezosa2
1
Estudis Ciències de la Informació i la Comunicació, Universitat Oberta de Catalunya, 08035 Barcelona, Spain
2
Faculty of Information and Audiovisual Media, Universitat de Barcelona, 08014 Barcelona, Spain
\*
Author to whom correspondence should be addressed.
[Publications](https://www.mdpi.com/journal/publications) **2025**, _13_(3), 33; [https://doi.org/10.3390/publications13030033](https://doi.org/10.3390/publications13030033)
[Version Notes](https://www.mdpi.com/2304-6775/13/3/33/notes)
[Order Reprints](https://www.mdpi.com/2304-6775/13/3/33/reprints)
## Abstract
This article presents a scoping review of the academic literature published between 2021 and 2024 on the intersection of generative artificial intelligence (AI) and disinformation. Drawing from 64 peer-reviewed studies, the review examines the current research landscape and identifies six key thematic areas: political disinformation and propaganda; scientific disinformation; fact-checking; journalism and the media; media literacy and education; and deepfakes. The findings reveal that generative AI plays a dual role: it enables the rapid creation and targeted dissemination of synthetic content but also offers new opportunities for detection, verification, and public education. Beyond summarizing research trends, this review highlights the broader societal and practical implications of generative AI in the context of information disorder. It outlines how AI tools are already reshaping journalism, challenging scientific communication, and transforming strategies for media literacy and fact-checking. The analysis also identifies key policy and governance challenges, particularly the need for coordinated responses from governments, platforms, educators, and civil society actors. By offering a structured overview of the field, the article enhances our understanding of how generative AI can both exacerbate and help mitigate disinformation, and proposes directions for research, regulation, and public engagement.
Keywords:
[disinformation](https://www.mdpi.com/search?q=disinformation); [generative AI](https://www.mdpi.com/search?q=generative+AI); [ChatGPT](https://www.mdpi.com/search?q=ChatGPT); [fact-checking](https://www.mdpi.com/search?q=fact-checking); [deepfakes](https://www.mdpi.com/search?q=deepfakes)
## 1\. Introduction
Although
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