Project Overview
About the Five Eyes AIR Dashboard
The Five Eyes AIR Dashboard is a public-facing research and education platform developed to support the study of Algorithmic Immersion Radicalisation (AIR) across Australia, Canada, New Zealand, the United Kingdom, and the United States.
About AIR
The dashboard is based on the AIR framework developed by Kelly W. Sundberg and Alannah Reynaud. AIR examines how digital platforms, recommender systems, online communities, and repeated exposure to identity-reinforcing content may contribute to ideological escalation in contemporary security environments.
AIR is architecture-driven rather than ideology-specific. It does not argue that technology alone causes radicalisation, extremism, coercion, or violence. It treats online architecture as an accelerant that may shape the speed, depth, intensity, and social reinforcement of ideological immersion.
The dashboard is descriptive, comparative, and educational. It is not a diagnostic tool, a threat-assessment tool, or a predictive model.
AIR Cycle
At the centre of the AIR framework is a four-stage cycle: Curation, Immersion, Reinforcement, and Mobilisation. The cycle may arrest, recur, or intensify; mobilisation is a possible outcome, not an inevitable one.
Three-Tier Analytical Framework
The AIR project distinguishes lawful democratic engagement from coercive ideological violence and mobilisation (CIVM), and from terrorism or violent extremism. Lawful protest, advocacy, criticism, religious expression, political disagreement, and democratic participation must not be conflated with extremism.
CIVM is an analytical category used for research. It is not a legal classification, a proposed offence, or a substitute for criminal-law thresholds.
Socio-Technical Timeline
The AIR framework is situated in a longer history of algorithmic recommendation, mobile connectivity, social media, encrypted group communication, short-form video, livestreaming, and AI-enabled content environments. This timeline provides conceptual background; it is not a live case trend and does not claim that technological change alone causes radicalisation or violence.
Key Takeaways From the Current Dashboard
Current case-pattern text loads from the active case dataset.
Explore Current Findings
AIR Level Distribution
Case Categories
Ideology / Motivation by AIR Level
Target Patterns
Context Indicators by Context Area
Why Social Context Matters
The Social Context Data Master provides national-level comparison indicators for the Five Eyes countries. These indicators help users understand broader environments in which AIR patterns are studied, including digital immersion, social media use, trust, public safety, loneliness, mental health, demographic change, and related social conditions.
Social-context data are not used to explain individual cases, diagnose societies, or claim that a country’s social-media use, crime rate, trust level, or demographic profile caused any AIR case.
What the Dashboard Does Not Claim
- It does not claim that social media use causes radicalisation.
- It does not claim that algorithmic recommendation alone causes terrorism or violence.
- It does not treat social-context indicators as explanations for individual cases.
- It does not conflate lawful protest, dissent, religious expression, or democratic activism with extremism.
- It does not treat AIR level as a diagnosis, risk score, or legal finding.
A Living Research Platform
The Five Eyes AIR Dashboard is not a static report. As case data are reviewed, new cases are added, social-context sources improve, and dashboard methods are refined, public-facing charts update from the underlying data files.