The Development of the DISARM Red Framework In ADAC.io
Between February 2024 and March 2026, ADAC.io project supported Alliance4Europe in developing the DISARM Red Framework, a taxonomy for classifying techniques associated with information threats.
A FIMI outcomes dataset and a method for structuring FIMI linguistic and visual communication
This ADAC.io report by SWPS University and Debunk.org presents new methods and datasets designed to support the analysis of Foreign Information Manipulation and Interference (FIMI) across digital environments.
FIMI in Poland, Sweden and Lithuania: Identification, Attribution, Perceived Goals and Consequences
The study conducted by Michał Wenzel, Jakub Kuś and Karina Stasiuk-Krajewska (SWPS University) shifts attention to how populations perceive manipulative content.
Attribution and Information Influence Operations: A ‘Field Guide’ for Open-Source Investigators and Researchers
This report addresses key challenges and presents generalisable principal issues that need to be considered when making decisions that impact upon attribution investigations and research using open-source data.
A Framework for Attribution of Information Influence Operations
This report presents an updated version of the NATO Stratcom CoE and Hybrid CoE IIO Attribution Framework, incorporating new insights and examples that illustrate how it has been and can be applied in practice.
A Comprehensive Review of DISARM Framework and its Compatibility with Related Frameworks Used to Model Foreign Information Manipulation and Interference
The DISARM Framework, supported by the EU-funded ADAC.io project, is a tool for identifying and mitigating Foreign Information Manipulation and Interference (FIMI). This review assesses its effectiveness, with input from user feedback, and evaluates its compatibility with frameworks like ABCDE and STIX to ensure its relevance for diverse stakeholders.