Social media is the main propaganda tool for terrorist groups and Twitter is not immune.
The UN’s Office of Information and Communications Technology needed an automated solution for spotting terrorist propaganda on Twitter. With almost half a million tweets appearing every minute, manual monitoring would hardly be possible. The solution had to be automated.
deepsense.ai designed a solution that analyzed the entire news stream from a particular account. The team analyzed not single tweets, but the overall communication context. This included all of the users’ messages, the number of connections and followers he or she had and the combination of words used.
The model proved that those who disseminate propaganda differ from others - they have fewer followers and publish significantly less information.
Knowing this allowed us to filter out news vendors and the people commenting on events as experts.
The profile of a suspicious account was built using 100 accounts that were proven disseminators of propaganda.
Later, the model spotted the most suspicious accounts and cherry-picked those which matched the patterns of propaganda-spreading ones.
In addition to monitoring the topics of tweets, the model uncovered patterns in the data concerning the relations between the number of followers, tweets and other Twitter-related metrics.
By harvesting and analyzing user profiles, the model identifies suspicious accounts with 91% accuracy.
The model can be further extended to not only spot particular accounts but to exploit the “citation network” of tweets that powers up the terrorist organization’s propaganda.
Another tool can be added to automatically find and filter the violent images various groups use to enhance their message.