Understanding Unclaimed Terrorism: A Machine Learning Approach

• In Event: Threats, Claims, and Propaganda in Terrorism

Brief Overview

This paper examines unclaimed terrorist attacks and argues that artificial neural networks can be used to classify unclaimed terror attacks. The neural network predicts the groups likely to have perpetrated the attacks using Pakistan as a case study.

Authors

• Evan Richard Christie, University of Maine

• Asif Nawaz, University of Maine