Authors: Matthew Rowe & Hassan Saif
Date of Publication: 2016
Journal / Publisher: Proceedings of the Tenth International AAAI Conference on Web and Social Media
Purpose of the study
How can we detect when a user has adopted a pro-ISIS stance (i.e. is exhibiting radicalised behaviour on social media)?
What happens to Twitter users before they exhibit radicalized behaviour, and also after such exhibition?
What influences users to adopt pro-ISIS language?
Collect and study language in posts by Pro-ISIS, Anti-ISIS and Neutral content.
Number of participants
157,000 (users and followers in Europe)
Type of ‘participant’
Online users who create or share violent extremist content
Both mobilisation to fight abroad and mobilisation to conduct attacks on home soil.
Using content based and sharing behavior features, it is possible to identify “activation” points of social media users.
Identify if “activation” is associated with offline behaviors.