Although social media offers us many benefits today, it also hosts some dangers. One of these dangers is the so-called ‘trolls’ who play an active role in spreading false information. 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 on the Network” led by Aykut Yıldız. The project was entitled to be supported for 36 months under the TÜBİTAK 1001 program.
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, announced that they developed a detection method based on the changes in the opinion curves of the trolls in social media within the scope of the project. Yıldız stated that in this way, information pollution will be prevented by purifying social networks from trolls.
Idea curves will be modeled as a static game in the project, where mathematical analysis will be made by projecting the ideas in social media to numbers. It was stated that the project was thought to have a profound impact as it brought a solution to an important problem in social networks, and it was stated that the approach would be a cornerstone in achieving the goal of ‘a cleaner social media’. Dr. Aykut Yıldız announced that the outputs of the methodology will be shared scientifically.
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