Author
Listed:
- Mabel Sánchez-Torres
(Department of Communication, Faculty of Humanities and Documentation, Carlos III University of Madrid, 28903 Madrid, Spain)
- Francisco Javier Paniagua Rojano
(Department of Journalism, Faculty of Communication Sciences, University of Malaga, 29071 Malaga, Spain)
- Raúl Magallón Rosa
(Department of Communication, Faculty of Humanities and Documentation, Carlos III University of Madrid, 28903 Madrid, Spain)
Abstract
The article examines the application of artificial intelligence (AI) in the fight against disinformation through a comparative analysis of different European initiatives collected by the SmartVote project. It analyzes their characteristics and contributions to identify common trends in technological development and collaboration models. The methodology combines a systematic documentary analysis of institutional and technical sources—public project records, reports, and official repositories—with a structured questionnaire addressed to the coordinators of the selected initiatives. This mixed approach made it possible to triangulate quantitative and qualitative information on the types of technology employed, areas of impact, stakeholders involved, and levels of funding. The results show a predominance of multimodal AI-based tools aimed at automated content detection and verification. Most of the projects rely on cooperation networks among universities, technology companies, media outlets, and social organizations, structured under the principle of human oversight. The main challenges include algorithmic accuracy, bias prevention, and Europe’s technological dependence. Overall, the initiatives studied are committed to transparency, interdisciplinary collaboration, and the ethical use of AI in defense of informational integrity.
Suggested Citation
Mabel Sánchez-Torres & Francisco Javier Paniagua Rojano & Raúl Magallón Rosa, 2026.
"Cartography of the Use of Artificial Intelligence Against Disinformation in Europe: Trends, Stakeholders, and Emerging Challenges,"
Social Sciences, MDPI, vol. 15(2), pages 1-19, January.
Handle:
RePEc:gam:jscscx:v:15:y:2026:i:2:p:71-:d:1851436
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