Why do some people fall for phishing, scams and fake news while others don't? The Atlas maps what the published research shows so far: which human factors have been studied, how much evidence sits behind each, and what has been tried to help.
Every factor the research has examined, grouped into six families: how people think, who they are, what they do, their circumstances, demographics, and the message itself. The size of a bubble shows how many studies looked at that factor. What each one found is in the full Atlas. The map covers phishing and scams, and misinformation. A third area, manipulative design in apps and online shopping ("dark patterns"), has just been added with studies so far: too few to show separately yet.
The short version. Each of these rests on multiple studies across both phishing and misinformation; the detail, the exceptions and the open questions are in the full Atlas.
A plain-English summary of the evidence on every factor, which way it points and how strong it is; a practitioner's playbook by audience and threat; filters for recent or high-quality research only; and the classical roots of each idea. This page is the public overview; the full Atlas is available by invitation while the research is being written up.
Researchers, security-awareness and trust-and-safety teams, journalists and policy people, and anyone trying to understand why people fall for things online.
A systematic review of the published research on susceptibility to phishing, scams and online manipulation, part of a PhD at Nelson Mandela University. Ongoing research, updated as studies are coded. Not professional advice.
Collard, A. (2026). The Susceptibility Atlas. Digital Mindfulness. Data as of .