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.
It combines structured incident mapping, linguistic analysis, and computational methods to better understand how modern disinformation campaigns operate beyond content through narratives, platforms, infrastructure, and behavioural patterns.
- In a dataset of 501 codified FIMI reports sourced from 110 organisations, researchers identified more than 12,600 URLs, 5,300 channels, and 3,000 domains linked to documented FIMI activity.
- Facebook and X/Twitter emerged as the most frequently used platforms in documented operations.
- The most common narratives focused on anti-Western messaging and attempts to undermine Ukraine.
The authors conclude that identifying FIMI requires more than analysing false content alone, and should also focus on attribution, distribution networks, and behavioural patterns. AI, NLP, and corpus linguistics tools can support this work through large-scale detection and analysis of manipulative content.