MODEL FOR PROCESSING IMAGES OF ONLINE SOCIAL NETWORKS USED TO RECOGNIZE POLITICAL EXTREMISM
Bagitova K. Tereikovskyi I. Babayev I. Tereikovska L. Tereikovskyi O.
17 October 2023al-Farabi Kazakh State National University
KazNU Bulletin. Mathematics, Mechanics, Computer Science Series
2023#119Issue 391 - 103 pp.
The scientific research is devoted to solving the important scientific and practical problem of recognizing calls for political extremism in online social networks, which today, due to their high popularity, are one of the main ways of spreading such calls. It is shown that modern means of detecting calls for political extremism in online social networks are mainly focused on the semantic analysis of text messages contained in them. At the same time, in modern online social networks, graphic resources have become widespread, which provide ample opportunities for the implementation of such calls. The possibility of detecting destructive content in images and video materials using neural network analysis is considered. The possibility of increasing the efficiency of neural network recognition has been determined due to the developed image pre-processing model, which makes it possible to adjust the brightness and contrast of images, as well as eliminate typical interference during video recording. The originality of the model lies in the use of a wavelet transform apparatus for filtering typical noise, as well as in the developed mathematical apparatus for adaptive contrast correction based on the local contrast of the neighborhood. It is shows that the use of the developed model for pre-processing images makes it possible to increase the accuracy of neural network recognition of calls for extremism in images and videos posted on online social networks by approximately 12 percent. It is advisable to correlate the paths for further research with the development of a neural network model adapted to the wide variation in the sizes of images and videos in online social networks.
contrast correction , detection of political extremism , images , social networks , wavelet analysis
Text of the article Перейти на текст статьи
Khalel Dosmukhamedov Atyrau university, Atyrau, Kazakhstan
Igor Sikorsky Kyiv Polytechnic Institute, Kyiv, Ukraine
Azerbaijan project management association, Baku, Azerbaijan
Kyiv National University of Construction and Architecture, Kyiv, Ukraine
National Aviation University, Kyiv, Ukraine
Khalel Dosmukhamedov Atyrau university
Igor Sikorsky Kyiv Polytechnic Institute
Azerbaijan project management association
Kyiv National University of Construction and Architecture
National Aviation University
10 лет помогаем публиковать статьи Международный издатель
Книга Публикация научной статьи Волощук 2026 Book Publication of a scientific article 2026