Exposing Influence in Cyber Social Engineering - Thinking Slow

Explore a conference talk that delves into the use of influence tactics in cyber social engineering and human-targeted deception. Examine how machine learning methods can expose influence cues in texts to prevent online deception. Learn about the Lumen framework and Potentiam dataset, which were developed to study influence in various types of online content. Discover the potential of ML in improving human-based detection of deceptive material and reducing vulnerability to online manipulation.

Intro
Phishing
Influence cues
Data
Coding
Results
Big Picture