Apr 14, 2017
Sloan Develops Algorithm To Spot Likely ISIS Members on Twitter
MIT Sloan recently looked into how a Ph.D. candidate and 15-year Army veteran Christopher Marks, along with KDD Career Development Professor in Communications and Technology Tauhid Zaman, built a machine-learning model that identifies likely Islamic State of Iraq and Syria (ISIS) members on Twitter.
