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Since the middle 1970s, the public has been seriously concerned about cases of school shooting — an armed attack by students on educational organizations. The global type of activity of social networks, as well as the high potential for the dissemination of destructive information in cyberspace with the use of anonymization, assigns digital resources, in fact, unlimited freedom of action. In this study, an attempt to semantic content analysis of digital destructive content of school shooting is made. The purpose of the study is to determine the system of signs of destructive content suitable for its identification in cyberspace through semantic analysis of the text openly published by users on the social network ‘Vkontakte’, using neural networks. The conducted research allowed us to identify a number of important signs of destructive content of school shooting with the allocation of thematic groups: indirect content of school shooting; drug content; mental distress.