METHOD OF COUNTERACTION AND DETECTION OF HARMFUL INFORMATION IN SOCIAL NETWORKS

Abstract

The paper studies the task of detecting and counteracting the spread of malicious information in social networks, including "fake news". There is a particularly urgent need to counter the spread of news on social media that generates panic waves during a pandemic. Currently, there is a war in Ukraine. Fake news travels six times faster on social media than the truth. Russian propaganda has become one of the main elements of the war in Ukraine, it is qualitatively camouflaged under the guise of Western media materials - DW, CNN or BBC. The main difficulty in detecting and counteracting the spread of malicious information in social networks follows directly from the use of information technology development trends at the present stage, namely: an increase in the speed of dissemination of malicious information in social networks; the rate of emergence of new sources of dissemination of malicious information; increase in the volume of information containing malicious information; speed of replication of messages in the network; the number of scenarios for attracting the attention of the audience; level of data heterogeneity. By their architecture, social networks are multicomponent solutions; the network architecture contains: components that process content; components that provide the functions of marketing, administration, data storage. Social networks do not contain a separate component for detecting and counteracting the spread of malicious information on the network. The analysis and study of evaluating the effectiveness of information-analytical systems and informatization of processes showed that the problem of detecting and counteracting the spread of malicious information in social networks cannot be considered solved and requires new research at this stage and allows us to determine the general requirements for the countermeasure system, as the basis for implementation which is based on the model-methodical apparatus. In order to increase the effectiveness of the countermeasure system in Internet networks, the problem of developing an appropriate approach to improve the validity of the decision to counter the spread and detection of harmful information by increasing the number of parameters taken into account when choosing an information object of influence and effective countermeasures has been solved. The solution of the task is achieved by ranking countermeasures and analyzing the sources of the network of malicious information. A method of counteracting and detecting the spread of malicious information in social networks is proposed, based on the use of the proposed models, algorithms, provides, unlike analogues, the analysis of information from social networks; formation of lists of information objects of influence on the conduct of counteraction to objects, sorting of information objects; providing the system operator with a countermeasure to the proposed and alternative options with a justification for the choice. The developed method of detecting and counteracting the spread of malicious information in social networks differs from the existing ones by using algorithms for evaluating message sources, analyzing and ranking countermeasures, as a result, the validity of decision-making on countering the spread of harmful information and choosing a countermeasure increases, correspondingly, the time of the system operator in the process is reduced countermeasures against the spread of malicious information in social networks.