Report on “Coordinated inauthentic behaviour detection tree”
The EU DisinfoLab has authored a report under the EU funded project veraAI entitled ‘Revisit the Coordinated Inauthentic Behaviour detection tree” (as part of the project deliverable D4.2). Read a summarizing introduction below and find the document at the end of this page.
The present report revisits the Coordinated Inauthentic Behaviour (CIB) detection tree developed by EU DisinfoLab in 2021: 1. The Coordination Assessment; 2. The Source Assessment; 3. The Impact Assessment; 4. The Authenticity Assessment. The four branches have been streamlined into one comprehensive document and their current status alongside the CIB definition has been thoroughly examined . Moreover, the paper reflects on how the new AI technologies can impact CIB creation and detection.
According to the EU DisinfoLab, CIB is generally acknowledged but definitions are still left at the platforms’ discretion, while EU regulation does not provide a specific one. The organisation advocates for a holistic approach, targeting the falsification of content distribution and amplification in a coordinated, non-organic way, regardless of whether it involves authentic or fake accounts, automated or not.
The publication aims to assist the defender community in identifying CIB and developing strategies to mitigate its effects. Although CIB cannot be diagnosed instantly, a collection of symptoms can indicate its presence. This document presents, in a straightforward and visual manner, the elements that may signify coordinated efforts, suggest inauthenticity, identify the sources of such behaviour, and evaluate its distribution and impact. Additionally, it provides a set of tools for detecting CIB and outlines their applicability throughout the different branches.
The paper is accessible here (see below*) and on the EU DisinfoLab website.
Author: Ana Romero (EUDL)
Editor: Anna Schild (DW)
