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Application of the Delphi methodology to forecast competencies oriented towards AI-driven disinformation detection in
Cristina M Arribas1, Rubén Arcos1, Manuel Gertrudix1
1Department of Audiovisual Communication and Advertising, University Rey Juan Carlos (ROR 01v5cv687), Camino del Molino 5, Fuenlabrada, Madrid 28942, Spain.
Methodsx
|June 23, 2025
Summary
Artificial intelligence advancements create new challenges for combating disinformation and Foreign Information Manipulation and Interference (FIMI). This research identifies future trends and proposes training models to build essential digital literacy skills against these evolving threats.
Area of Science:
- Information Science
- Artificial Intelligence
- Digital Literacy
Background:
- Artificial intelligence (AI) capabilities are rapidly advancing, creating new avenues for Foreign Information Manipulation and Interference (FIMI).
- Detecting and countering AI-driven disinformation poses a significant challenge to information integrity.
- Digital literacy is identified as a crucial preventive strategy against these evolving threats.
Purpose of the Study:
- To proactively identify emerging technological trends shaping the disinformation and FIMI landscape over the next decade.
- To propose competency-based training and curricular models to address latent challenges posed by new technologies.
- To provide a replicable Delphi study model for identifying training needs in the context of AI and misinformation.
Main Methods:
- A Delphi study methodology was employed to gather expert consensus on future trends and training needs.
- The study design is detailed to facilitate replication and further research.
- Questionnaires and datasets are provided for comparative and longitudinal analyses.
Main Results:
- The research outlines key technological trends impacting the future of disinformation and FIMI.
- It proposes specific competency-based training models tailored to emerging AI-driven threats.
- The study provides a framework for understanding and addressing future training requirements.
Conclusions:
- Proactive identification of technological trends is essential for developing effective countermeasures against disinformation and FIMI.
- Competency-based training models are vital for equipping individuals with the necessary digital literacy skills.
- The provided study model and data support ongoing research and adaptation to new technological challenges in the information ecosystem.
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