Support from TÜBİTAK to the Project to Find Trolls in the Social Network

Although social media offers us many benefits today, it also hosts some dangers. One of these dangers is playing an active role in the spread of false information, people referred to as ‘trolls’ exists. Today, important news came from TED University and TUBITAK to combat this issue.

TED University Electrical and Electronics Engineering Department Lecturer Dr. Support came from TÜBİTAK for the project ‘Modelling the Dynamics of Idea in Social Media as a Differential Game and Automatic Detection of Trolls in the Network’, led by Aykut Yıldız. Project, To be supported for 36 months within the scope of TÜBİTAK 1001 program. earned the right.

Trolls on social networks will be detected automatically

According to the shared details, the project will be able to automatically detect ‘trolls’ on social networks. Dr. Aykut Yıldız, in his statement, said that within the scope of the project, social media that trolls start from changes in their opinion curves announced that they have developed a detection method. Yıldız stated that in this way, information pollution will be prevented by purifying social networks from trolls.

Idea curves in the project where ‘mathematical analysis will be made by projecting the ideas in social media to numbers’, will be modeled as a static game. It is stated that the project is thought to have a profound impact as it brings a solution to an important problem in social networks.a cleaner social mediaIt was stated that it will be a cornerstone on the way to reach the target. Dr. Aykut Yıldız announced that the outputs of the methodology will be shared scientifically.