The increase in social media platforms brings people sharing a lot of dirty information. According to research on the subject, 86% of internet users state that they have been deceived by fake news.
At this point, TED University’s project called Automatic Detection of Trolls in Social Networks was entitled to be supported for 36 months within the TÜBİTAK 1001 program.
What does the Automatic Detection of Trolls in Social Networks project offer?
The project of TED University, which wants to develop a permanent solution against information pollution on the Internet, was entitled to be supported by TUBITAK. letter. According to the data published by Ly on the subject, 86 percent of internet users are deceived with fake news, while 62 percent of internet platforms, online news and websites are described as fake by users.
At this point, TED University (TEDU) Electrical and Electronics Engineering Department Lecturer Dr. The project named “Modelling of Intellectual Dynamics in Social Media as a Differential Game and Automatic Detection of Trolls on the Network”, led by Aykut Yıldız, was entitled to be supported for 36 months within the scope of TÜBİTAK 1001 program.
Professor at the head of the project, Dr. Aykut Yıldız stated that the mathematical analysis they will use is a unique approach. In the project named “Automatic Detection of Trolls in Social Networks”, a detection method was developed based on the changes in the opinion curves of trolls in social media. In this way, information pollution will be prevented by purifying social networks from trolls.
Stating that the project will bring solutions against social media trolls day by day, Yıldız emphasized that they will make mathematical analysis by projecting the shared ideas to numbers.
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