Monitoring and Counteraction to Malicious Influences in the Information Space of Social Networks

The paper considers an interdisciplinary problem of protecting the information space of social networks from unwanted and malicious information. One of the means for solving this problem is the development of an integrated system for monitoring and counteraction to malicious influences in social networks. The architecture of this system is proposed. The architecture includes components for collection, preprocessing and storage of information objects, semantic analysis of malicious information objects, identifying sources of attack and target audiences, analyzing the distribution channels of malicious information objects, and complex recognition of the impact elements. The issues of implementation and functioning of the components of the proposed system are discussed. The experimental evaluation showed high efficiency of the accepted architectural solutions.