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While the increase in social media platforms exposes many people to information pollution, 86% of internet users say that they are deceived by fake news according to research on the subject. Aiming to bring a permanent solution to information pollution, TED University's “Automatic Detection of Trolls in Social Networks” project was entitled to be supported for 36 months within the scope of TUBİTAK 1001 program.

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ISTANBUL (TR) - With the rise of social media platforms, many people around the world are faced with thousands of fake news every day. According to the data published by Letter.Ly on the subject, 86% of internet users report that they have been deceived by fake news, while 62% of internet platforms, online news and websites are considered as fake by users. Support came from TED University for the fight against increasing information pollution and trolls in digital channels. The project named “Modelling of Intellectual Dynamics in Social Media as a Differential Game and Automatic Detection of Trolls on the Network", led by TED University (TEDU) Electrical and Electronics Engineering Department Lecturer Dr. Aykut Yıldız, was entitled to be supported for 36 months within the scope of TÜBİTAK 1001 program.

Trolls on social networks will be detected automatically

Noting that trolls in social networks can be detected automatically within the scope of the project and sating that the mathematical analysis they will use is a unique approach, Lecturer Dr. Aykut Yıldız continued his statement with the following words: “We think that a troll-free social media will offer users a safer experience. At this point, we developed a detection method based on the changes in the opinion curves of trolls in social media in our project called “Automatic Detection of Trolls in Social Networks”. In this way, we will prevent information pollution by purifying social networks from trolls.”

Trolls' idea curves will be modeled as a static game

Emphasizing that the project will bring a solution to the problem of misinformation sharing of social media trolls, which is getting serious day by day, Dr. Aykut Yıldız said, “In our project, we will make a mathematical analysis of the ideas in the social media by projecting them into numbers. Because people's ideas don't just emerge instantly. Ideas take some time to form. Therefore, we will create a permanent result against this situation, which is accepted as a social problem worldwide, with the project we designed with our method applied by modeling the idea curves as a static game and making them dynamic through the Nash reaction.”

“The project will form the cornerstone of a clean social media world”

Expressing that the article outputs of the methodology in the project will be shared scientifically, TEDU Department of Electrical and Electronics Engineering Faculty Member Dr. Aykut Yıldız said, “Within the framework of our project, we are developing a model that forms the basis for scientific and technical research on social media in different disciplines. Detecting trolls on social networks based on a mathematical analysis represents a unique approach. I believe this approach will be a cornerstone towards achieving a cleaner social media goal, and will be a valuable product of work in terms of both being mathematically original and serving a practical goal.”