Related Experiment Video
Updated: Sep 18, 2025

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
Published on: December 15, 2023
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.
None:
The growing development of capabilities, techniques, and technologies associated with Artificial Intelligence opens a new scenario full of opportunities for Foreign Information Manipulation and Interference, which presents an added challenge for detecting and countering disinformation content. Within the preventive strategies to combat these threats, digital literacy emerges as essential. The aim of the research, whose method is detailed here, is to proactively identify emerging technological trends that will shape the disinformation and FIMI ecosystem over the next 10 years, and to propose competency-based training and curricular models to address these challenges in their latent phase.•The article introduces a Delphi study model designed to identify training needs to effectively combat disinformation and FIMI in the context of generative AI and other emerging technologies.•A detailed guide of the conducted study is provided, intended to be replicated in future research or to support the development of subsequent studies aimed at understanding the training needs arising from new technologies applied to misinformation.•Questionnaires and datasets are provided with results that enable comparative, longitudinal, and replication studies.
Related Concept Videos
Understanding Deception
Decision Making: Traditional Method
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
Accuracy, limits, and approximation
Accuracy is defined as the closeness of the measured value to the true or actual value. In engineering mechanics, repeated measurements are taken during theoretical or experimental analyses to ensure that the result is precise and accurate.
The accuracy of any solution is based on the...
Intelligence
Distribution Reliability and Automation
Prediction Intervals
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.